Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853652
Shubham Mittal, J. K. Rai
This paper presents Wadoro (WAtch DOg RObot); an autonomous mobile robot for household surveillance in open-spaces like roof at night; but only shaded areas such as verandah during daytime. The robot has the capability to detect humans in near real-time round-the-clock using passive infrared motion sensors and camera. The work cycle of the robot is divided into phases of human detection; tracking; recognition and alert-generation with simultaneous phase of self-protection. On detecting a human; it starts tracking to detect the face using Haar-like features based cascade classifier. Subsequent recognition is done using local binary pattern histograms approach to ascertain if the face matches with the face in database. In case of mismatch; an alert in the form of phone call to the mobile phone is generated. Self-protection ensures collision-free movements and prevent it from being stolen by generating an alert call on detecting its pick up from the ground. The experimental results demonstrate its successful operation.
{"title":"Wadoro: An autonomous mobile robot for surveillance","authors":"Shubham Mittal, J. K. Rai","doi":"10.1109/ICPEICES.2016.7853652","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853652","url":null,"abstract":"This paper presents Wadoro (WAtch DOg RObot); an autonomous mobile robot for household surveillance in open-spaces like roof at night; but only shaded areas such as verandah during daytime. The robot has the capability to detect humans in near real-time round-the-clock using passive infrared motion sensors and camera. The work cycle of the robot is divided into phases of human detection; tracking; recognition and alert-generation with simultaneous phase of self-protection. On detecting a human; it starts tracking to detect the face using Haar-like features based cascade classifier. Subsequent recognition is done using local binary pattern histograms approach to ascertain if the face matches with the face in database. In case of mismatch; an alert in the form of phone call to the mobile phone is generated. Self-protection ensures collision-free movements and prevent it from being stolen by generating an alert call on detecting its pick up from the ground. The experimental results demonstrate its successful operation.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114987565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853123
Priyabrata Shaw, P. Sahu, S. Maity, Punit Kumar
This paper presents modeling and control of a standalone photovoltaic (PV) system in which a battery is used as a backup source for power management between the source and the load. Lead-acid battery is commonly used in high power PV applications due to its low cost and availability in large size. The modeling of PV system and lead-acid battery by using the corresponding equivalent circuits are discussed here. Three independent control loops are proposed to control the standalone PV system; MPPT control loop for extracting maximum power from PV module under different solar irradiation, battery control loop for bidirectional power flow between battery and dc-link through buck-boost converter to keep the input dc voltage constant, and inverter control loop for maintaining good voltage regulation and achieving fast dynamic response under sudden load fluctuations. The stability of the above control loops are verified by using Bode diagram. Finally the proposed method is applied to 2 kW, 110 V, 50 Hz, two-stage single-phase standalone PV system. The simulation and the experimental results are presented to validate the theoretical analysis, effectiveness and feasibility of the proposed control strategy.
{"title":"Modeling and control of a battery connected standalone photovoltaic system","authors":"Priyabrata Shaw, P. Sahu, S. Maity, Punit Kumar","doi":"10.1109/ICPEICES.2016.7853123","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853123","url":null,"abstract":"This paper presents modeling and control of a standalone photovoltaic (PV) system in which a battery is used as a backup source for power management between the source and the load. Lead-acid battery is commonly used in high power PV applications due to its low cost and availability in large size. The modeling of PV system and lead-acid battery by using the corresponding equivalent circuits are discussed here. Three independent control loops are proposed to control the standalone PV system; MPPT control loop for extracting maximum power from PV module under different solar irradiation, battery control loop for bidirectional power flow between battery and dc-link through buck-boost converter to keep the input dc voltage constant, and inverter control loop for maintaining good voltage regulation and achieving fast dynamic response under sudden load fluctuations. The stability of the above control loops are verified by using Bode diagram. Finally the proposed method is applied to 2 kW, 110 V, 50 Hz, two-stage single-phase standalone PV system. The simulation and the experimental results are presented to validate the theoretical analysis, effectiveness and feasibility of the proposed control strategy.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"440 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124730342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853150
P. P, M. Nandakumar
The objective of this paper is to present a nonlinear flight control strategy, recommendable for the entire flight regime. Traditional controllers exhibit innate performance deficiencies in the widely varying aerodynamic scenario with substantially elevated control efforts. Therefore nonlinear optimality based control would be vital for the overall system performance. The prime feature of Inverse Optimal Control is that it guarantees asymptotic stability and optimality, globally, with respect to a performance index determined posteriori. The basis of Inverse Optimal control (IOC) rests on the formulation of an appropriate Control Lyapunov Function (CLF), the determination of which is in fact laborious in most cases. However here, the determination of CLF, for a particular class of nonlinear systems, is systematized to some extent. The 6 DOF aircraft dynamics separated into two timescales is considered for simulation study. The slow angular dynamics of the outer loop is controlled via Inverse Optimal Control. A suboptimal Theta-D controller is employed for the control of the fast inner loop. Thus in effect a near optimal control performance is expected of the resultant nonlinear control system. The inherent stability and robustness characteristic of the participating control laws will contribute the same to the overall system. Simulation results verify all the anticipated capabilities in terms of performance, optimality, stability and robustness.
{"title":"Inverse Optimal and Theta-D Control based near Optimal flight controller","authors":"P. P, M. Nandakumar","doi":"10.1109/ICPEICES.2016.7853150","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853150","url":null,"abstract":"The objective of this paper is to present a nonlinear flight control strategy, recommendable for the entire flight regime. Traditional controllers exhibit innate performance deficiencies in the widely varying aerodynamic scenario with substantially elevated control efforts. Therefore nonlinear optimality based control would be vital for the overall system performance. The prime feature of Inverse Optimal Control is that it guarantees asymptotic stability and optimality, globally, with respect to a performance index determined posteriori. The basis of Inverse Optimal control (IOC) rests on the formulation of an appropriate Control Lyapunov Function (CLF), the determination of which is in fact laborious in most cases. However here, the determination of CLF, for a particular class of nonlinear systems, is systematized to some extent. The 6 DOF aircraft dynamics separated into two timescales is considered for simulation study. The slow angular dynamics of the outer loop is controlled via Inverse Optimal Control. A suboptimal Theta-D controller is employed for the control of the fast inner loop. Thus in effect a near optimal control performance is expected of the resultant nonlinear control system. The inherent stability and robustness characteristic of the participating control laws will contribute the same to the overall system. Simulation results verify all the anticipated capabilities in terms of performance, optimality, stability and robustness.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124928712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853509
Sragdhara Bhattacharya
Power Systems are inherently non-linear systems that are frequently subjected to various disturbances causing oscillations at low frequencies that may lead to instability. Generators are usually provided with power system stabilizers minimize the effect of these oscillations. The objective of this paper is find the optimal parameters for a conventional “lead-lag compensator based Power System Stabilizer (PSS)” for a system comprising of a “generator connected to an infinite bus” and containing a ST1A type excitation system. The tuning of the parameters of the “Power System Stabilizer” is accomplished using the “Particle Swarm Optimization (PSO)” algorithm. In this paper, a Fuzzy Power System Stabilizer (FPSS) where the optimal values of the parameters of the FPSS are decided using the PSO algorithm is also designed. The Particle Swarm Optimization based conventional PSS and the “Particle Swarm Optimization based Fuzzy PSS” are also incorporated in a system containing multiple machines to check the system responses under different loading conditions and faults of different types. The simulation results clearly prove the efficiency of the PSO based conventional and fuzzy power system stabilizers in damping the low frequency speed and power oscillations occurring in the power system due to various disturbances.
{"title":"Power system oscillation damping by intelligent power system stabilizer","authors":"Sragdhara Bhattacharya","doi":"10.1109/ICPEICES.2016.7853509","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853509","url":null,"abstract":"Power Systems are inherently non-linear systems that are frequently subjected to various disturbances causing oscillations at low frequencies that may lead to instability. Generators are usually provided with power system stabilizers minimize the effect of these oscillations. The objective of this paper is find the optimal parameters for a conventional “lead-lag compensator based Power System Stabilizer (PSS)” for a system comprising of a “generator connected to an infinite bus” and containing a ST1A type excitation system. The tuning of the parameters of the “Power System Stabilizer” is accomplished using the “Particle Swarm Optimization (PSO)” algorithm. In this paper, a Fuzzy Power System Stabilizer (FPSS) where the optimal values of the parameters of the FPSS are decided using the PSO algorithm is also designed. The Particle Swarm Optimization based conventional PSS and the “Particle Swarm Optimization based Fuzzy PSS” are also incorporated in a system containing multiple machines to check the system responses under different loading conditions and faults of different types. The simulation results clearly prove the efficiency of the PSO based conventional and fuzzy power system stabilizers in damping the low frequency speed and power oscillations occurring in the power system due to various disturbances.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125339072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853073
Abhilasha Gupta, K. Verma
Power system oscillations monitoring is a vital issue in operation of modern interconnected power systems. The existing methods for identifying the electromechanical modes are time-consuming and require modelling of the entire system that includes a large number of states and are performed offline. In this paper, an integrated Phasor Measurement Unit and Artificial Neural Network (PMU-ANN) based approach for online and real time monitoring of power system electromechanical oscillations is proposed. The placement of PMU is obtained using Integer Linear Programming (ILP). The data obtained from PMU is given as input to a multilayer Feedforward Neural Network (FFNN) and its output gives all the information related to the modes of the system and the mode ranking. The effectiveness of the proposed approach is investigated on IEEE 39-bus test system. The results show that the proposed approach is fast with less computational burden and is suitable for online and real time oscillations monitoring of the power systems under varying operating conditions.
{"title":"PMU-ANN based real time monitoring of power system electromechanical oscillations","authors":"Abhilasha Gupta, K. Verma","doi":"10.1109/ICPEICES.2016.7853073","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853073","url":null,"abstract":"Power system oscillations monitoring is a vital issue in operation of modern interconnected power systems. The existing methods for identifying the electromechanical modes are time-consuming and require modelling of the entire system that includes a large number of states and are performed offline. In this paper, an integrated Phasor Measurement Unit and Artificial Neural Network (PMU-ANN) based approach for online and real time monitoring of power system electromechanical oscillations is proposed. The placement of PMU is obtained using Integer Linear Programming (ILP). The data obtained from PMU is given as input to a multilayer Feedforward Neural Network (FFNN) and its output gives all the information related to the modes of the system and the mode ranking. The effectiveness of the proposed approach is investigated on IEEE 39-bus test system. The results show that the proposed approach is fast with less computational burden and is suitable for online and real time oscillations monitoring of the power systems under varying operating conditions.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126541060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853535
Samruddhi Patil, Ameya Wagh, Mitali Sawant, Saurav Panda, A. Bhopale
This paper discusses the design and implementation of a 7 channel line sensor for line following robot having advanced functionalities such as software based automatic sensor calibration and individual threshold per sensor channel. Unlike traditional line sensors which work on black surfaces with a white line or vice versa, this sensor is designed to differentiate white line on any coloured surface. Thus this sensor can be implemented in robotics applications or in industries where different section's floors are assigned with different colours and robot navigates using line following. The system was implemented using light emitting diodes, phototransistor and an onboard microcontroller Arduino Mega 2560 which communicates with any navigation control system using serial communication. Moving average filters are implemented per channel to remove the fluctuations in the readings due to vibration of the sensor during locomotion. It then gives the error feedback or the offset of the white line from the centre, to the system that is corrected using Proportional-Integral-Derivative algorithm. It also takes care of non scaled readings of the line sensors due to ambient light by having separate threshold values for individual sensors making each sensor independent. The main aim of this paper is to highlight the use and need of a line following sensor capable of differentiating any background colours with white line and at different light conditions. Performance metrics were measured and compared to show tradeoffs between cost and performance.
本文讨论了用于线路跟踪机器人的7通道线路传感器的设计和实现，该传感器具有基于软件的自动传感器校准和每个传感器通道的单独阈值等高级功能。不像传统的线传感器工作在黑色表面与白线，反之亦然，这种传感器是设计来区分白线在任何彩色表面。因此，这种传感器可以在机器人应用中实施，或者在不同部分的地板被分配不同的颜色，机器人使用线跟随导航的行业中。该系统使用发光二极管，光电晶体管和板载微控制器Arduino Mega 2560实现，该微控制器通过串行通信与任何导航控制系统通信。每个通道都实现了移动平均滤波器，以消除由于传感器在运动期间振动引起的读数波动。然后将误差反馈或白线离中心的偏移量反馈给使用比例-积分-导数算法进行校正的系统。它还通过对单个传感器具有单独的阈值，使每个传感器独立，从而照顾到由于环境光导致的线传感器的非缩放读数。本文的主要目的是强调使用和需要一个线跟随传感器能够区分任何背景颜色与白线和在不同的光条件。对性能指标进行测量和比较，以显示成本和性能之间的权衡。
{"title":"Design and implementation of advanced auto calibrating line following sensor for coloured surfaces with a white line","authors":"Samruddhi Patil, Ameya Wagh, Mitali Sawant, Saurav Panda, A. Bhopale","doi":"10.1109/ICPEICES.2016.7853535","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853535","url":null,"abstract":"This paper discusses the design and implementation of a 7 channel line sensor for line following robot having advanced functionalities such as software based automatic sensor calibration and individual threshold per sensor channel. Unlike traditional line sensors which work on black surfaces with a white line or vice versa, this sensor is designed to differentiate white line on any coloured surface. Thus this sensor can be implemented in robotics applications or in industries where different section's floors are assigned with different colours and robot navigates using line following. The system was implemented using light emitting diodes, phototransistor and an onboard microcontroller Arduino Mega 2560 which communicates with any navigation control system using serial communication. Moving average filters are implemented per channel to remove the fluctuations in the readings due to vibration of the sensor during locomotion. It then gives the error feedback or the offset of the white line from the centre, to the system that is corrected using Proportional-Integral-Derivative algorithm. It also takes care of non scaled readings of the line sensors due to ambient light by having separate threshold values for individual sensors making each sensor independent. The main aim of this paper is to highlight the use and need of a line following sensor capable of differentiating any background colours with white line and at different light conditions. Performance metrics were measured and compared to show tradeoffs between cost and performance.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129556273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853358
V. Sharma, P. Chaudhari, P. Shendge, S. Phadke
This paper is concerned about the wheel slip measurement of the anti-lock braking system (ABS). The wheel slip must follow the desired wheel slip; for this purpose multiple sliding surface controller (MSSC) based on disturbance observer (DO) is used. DO is integrated with sliding mode controller (SMC) to strengthen the overall performance of the system by estimating the lumped uncertainties that are present in the system. The performance of the suggested scheme is testified in MATLAB/simulink with experimental set up of ABS by considering different cases for tracking the slip ratio.
{"title":"Multiple sliding surface controller based on disturbance observer for anti-lock braking system","authors":"V. Sharma, P. Chaudhari, P. Shendge, S. Phadke","doi":"10.1109/ICPEICES.2016.7853358","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853358","url":null,"abstract":"This paper is concerned about the wheel slip measurement of the anti-lock braking system (ABS). The wheel slip must follow the desired wheel slip; for this purpose multiple sliding surface controller (MSSC) based on disturbance observer (DO) is used. DO is integrated with sliding mode controller (SMC) to strengthen the overall performance of the system by estimating the lumped uncertainties that are present in the system. The performance of the suggested scheme is testified in MATLAB/simulink with experimental set up of ABS by considering different cases for tracking the slip ratio.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131242663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853070
R. Jain, M. Aware, A. Junghare
Design of Fractional Order PID controller (FOPID) for speed regulation of DC motor is presented in this paper. In comparison with conventional PID, FOPID is more flexible and trustworthy to control higher order systems. The FOPID exhibits the Iso-damping property to enhance the robustness of closed loop response of the system against gain variations. According to parameters adjustment problems of FOPID controller, particle swarm optimization (PSO) algorithm is adopted to optimize FOPID controller parameters. Peak overshoot, rise time and settling time are considered as important factors to minimize using PSO technique. Simulation results give validation of the proposed work and provide effectiveness of FOPID controller in terms of robustness and control effect as compared to PID controller.
{"title":"Tuning of Fractional Order PID controller using particle swarm optimization technique for DC motor speed control","authors":"R. Jain, M. Aware, A. Junghare","doi":"10.1109/ICPEICES.2016.7853070","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853070","url":null,"abstract":"Design of Fractional Order PID controller (FOPID) for speed regulation of DC motor is presented in this paper. In comparison with conventional PID, FOPID is more flexible and trustworthy to control higher order systems. The FOPID exhibits the Iso-damping property to enhance the robustness of closed loop response of the system against gain variations. According to parameters adjustment problems of FOPID controller, particle swarm optimization (PSO) algorithm is adopted to optimize FOPID controller parameters. Peak overshoot, rise time and settling time are considered as important factors to minimize using PSO technique. Simulation results give validation of the proposed work and provide effectiveness of FOPID controller in terms of robustness and control effect as compared to PID controller.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131347749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853333
D. Chakraborty, A. Nandi
To improve the fuel economy and range of an electric vehicle, as much as energy regeneration during braking is important. It was observed that driving harshness has a great impact on the regeneration efficiency during vehicle deceleration. On the other hand, to reduce the trip time as well as to avoid accident, the deceleration duration needs to be kept short. By realizing these conflicting objectives, in the present work an optimal deceleration is find out for a speed change using a genetic algorithm. The concerned multi-objective optimization problem (MOOP) was solved based on two approaches: considering a constant deceleration, and variable decelerations during braking. Comparative results of both the approaches are presented for a representative speed change in four driving cycles. Results of both approaches in solving the MOOP including under certain constraints, such as a desired comfort journey and maintaining a safe braking distance, suggest that multiple decelerations should be used during planned braking, where as either a constant or multiple deceleration may be taken during braking for high comfort journey and under emergency braking demand.
{"title":"Finding optimal deceleration with serial regenerative braking of electric vehicle using a multi-objective genetic algorithm","authors":"D. Chakraborty, A. Nandi","doi":"10.1109/ICPEICES.2016.7853333","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853333","url":null,"abstract":"To improve the fuel economy and range of an electric vehicle, as much as energy regeneration during braking is important. It was observed that driving harshness has a great impact on the regeneration efficiency during vehicle deceleration. On the other hand, to reduce the trip time as well as to avoid accident, the deceleration duration needs to be kept short. By realizing these conflicting objectives, in the present work an optimal deceleration is find out for a speed change using a genetic algorithm. The concerned multi-objective optimization problem (MOOP) was solved based on two approaches: considering a constant deceleration, and variable decelerations during braking. Comparative results of both the approaches are presented for a representative speed change in four driving cycles. Results of both approaches in solving the MOOP including under certain constraints, such as a desired comfort journey and maintaining a safe braking distance, suggest that multiple decelerations should be used during planned braking, where as either a constant or multiple deceleration may be taken during braking for high comfort journey and under emergency braking demand.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"924 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116420277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853312
C. Jha, Vikas, S. Pandey
Effect of number of wells with different thicknesses of P layer on Internal Quantum Efficiency(IQE), I–V relationship, Power current, and spontaneous rate of blue InGaN/GaN multiple quantum well (MQW) light-emitting diodes (LEDs) is simulated and investigated with the help of APSYS software. Result reveals that LED with single Quantum well and thin P type Electron Blocking Layer (EBL) gives significantly good result for low injection level. For high injection level thick EBL and multiple Quantum well gives better result. At low injection level LED with single Quantum well shows IQE around 98.20 %.
{"title":"Study and optimization of characteristics of GaN based quantum well light emitting diode","authors":"C. Jha, Vikas, S. Pandey","doi":"10.1109/ICPEICES.2016.7853312","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853312","url":null,"abstract":"Effect of number of wells with different thicknesses of P layer on Internal Quantum Efficiency(IQE), I–V relationship, Power current, and spontaneous rate of blue InGaN/GaN multiple quantum well (MQW) light-emitting diodes (LEDs) is simulated and investigated with the help of APSYS software. Result reveals that LED with single Quantum well and thin P type Electron Blocking Layer (EBL) gives significantly good result for low injection level. For high injection level thick EBL and multiple Quantum well gives better result. At low injection level LED with single Quantum well shows IQE around 98.20 %.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"IA-19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126560591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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