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2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)最新文献

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A Two Stage Identification Approach for Processes with Dead-time using Step Input 阶跃输入含死时过程的两阶段辨识方法
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730513
Sudeep Sharma, P. Padhy
This work deals with the identification of unknown delayed systems as continuous-time models with dead-time. The identification experiment involves the collection of data samples with the application of step input, which is popular due to its simplicity. The gain elimination method is employed to bring dead-time into the parameter vector. The model parameters are estimated using two stage identification approach, where the first stage is simple least square and the second stage is instrument variable. The over-parameterized information vectors are computed using filtered derivatives. Simulation experiments are performed on benchmark systems to validate and compare the efficacy of the proposed approach with sensor noise.
本文研究了未知时滞系统作为带死区时间的连续时间模型的辨识问题。识别实验涉及到数据样本的采集,并应用步进输入,由于其简单而受到欢迎。采用增益消除法将死区时间引入参数矢量。模型参数的估计采用两阶段识别方法,其中第一阶段是简单最小二乘,第二阶段是工具变量。过度参数化的信息向量使用滤波导数计算。在基准系统上进行了仿真实验,验证和比较了该方法在传感器噪声下的有效性。
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引用次数: 0
A Comparitive Study on Effective Control of Unstable Dead Time System 不稳定死时间系统有效控制的比较研究
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730582
Swatika Sinha, Sudeep Sharma, P. Padhy
Dead-time systems are commonly encountered and are utilized to portray various real-world processes. The efficient controlling of such systems especially with unstable dynamics has always been an attractive as well as challenging field of research. In this paper, the performance of a PID (Proportional, Integral and Derivative) controller, Smith predictor, and modified Smith predictor are analyzed for dead-time systems, and a comparative study is done. An unstable transfer function of second order containing dead time is considered here for validation. Various time-response parameters like settling time, damped oscillation, disturbance rejection, and overshoot values are used to compare the different controlling techniques.
死时系统经常遇到,并用于描述各种现实世界的过程。这类系统特别是具有不稳定动力学的系统的有效控制一直是一个具有吸引力和挑战性的研究领域。本文对死时系统的PID (Proportional, Integral and Derivative)控制器、Smith预测器和修正Smith预测器的性能进行了分析,并进行了比较研究。本文考虑一个含死区时间的二阶不稳定传递函数进行验证。各种时间响应参数,如稳定时间、阻尼振荡、干扰抑制和超调值,用于比较不同的控制技术。
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引用次数: 0
A Review on Single-Phase Transformerless Inverter Topologies for PV Applications 光伏领域单相无变压器逆变器拓扑研究进展
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730648
C. S. Chandra, S. K. Jain
This article focuses on single-phase grid-tied transformerless inverter topologies for photovoltaic (PV) systems. These single-phase grid-tied PV inverters are widely used to connect the low power, roof-top, and residential photovoltaic systems to the grid and these are in the distribution side of the power system network. In grid-tied PV systems normally a transformer is employed to provide galvanic isolation between the input side and the output side with voltage level transformation. However, if we use a transformer the weight or size of the whole system increases, which is to be installed at the distribution side which makes the whole system size bigger. So, for PV systems it is better to use an inverter topologies that is without transformer. However, extra care must be taken while designing the transformerless inverters to avoid safety hazards like leakage and ground fault currents which will be discussed in this article.
本文主要研究光伏系统的单相并网无变压器逆变器拓扑结构。这些单相并网光伏逆变器广泛用于将小功率,屋顶和住宅光伏系统连接到电网,这些系统位于电力系统网络的配电侧。在并网光伏系统中,通常使用变压器在输入侧和输出侧之间提供电压电平转换的电流隔离。然而,如果我们使用变压器,整个系统的重量或尺寸增加,这是安装在配电侧,这使得整个系统的尺寸更大。因此,对于光伏系统,最好使用无变压器的逆变器拓扑结构。然而,在设计无变压器逆变器时必须格外小心,以避免泄漏和接地故障电流等安全隐患,这将在本文中讨论。
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引用次数: 2
A comprehensive review on impacts of electric vehicle charging on the distribution network 电动汽车充电对配电网的影响综述
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730630
Harshit Verma, Pushkar Tripathi, Aquib Mehdi Naqvi
The piercing rise in the emissions from internal combustion engine (ICE) vehicles contributes in increment of environmental issues, except low conversion efficiency and the energy crises leads to the evolution of electric vehicles. The increment in the quantity of electric vehicles have significant impacts on distribution systems. To ensure the stable performance of a distribution network, evaluation of the impact of electric vehicles charging on distribution systems is a crucial factor. Different methods and charging strategies are developed to analyze the effects of electric vehicle charging with different electric vehicles penetrations in the last few years. This particular review gives a detailed overview of the literature, which consists of the impact of electric vehicles charging on distribution networks.
内燃机汽车排放的急剧增加加剧了环境问题,除了低转换效率和能源危机导致电动汽车的发展。电动汽车数量的增加对配电系统产生了重大影响。为了保证配电网的稳定运行,评估电动汽车充电对配电网的影响是一个至关重要的因素。采用不同的方法和充电策略,分析了近年来不同电动汽车渗透率下的电动汽车充电效果。这一特殊的审查给出了详细的文献概述,其中包括电动汽车充电对配电网的影响。
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引用次数: 1
A Study on Different Converter Topologies for Power Quality Improvement Applications 电能质量改进应用中不同转换器拓扑结构的研究
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730654
J. J. Babu, Vinopraba Thirumavalavan
In recent years, direct current (DC) power supply loads have become more prevalent in industrial and commercial applications. As a result, an ac/dc converting system will be placed at the system's front end to convert alternating current mains into direct current sources for system operation. Load-end characteristics of the system will increase the phase shift between the voltage and current of the input AC power source. This has a detrimental impact on the system's power quality indicators and causes instability. In an ac/dc converter that needs power quality improvement, a power factor corrector converter is required between the uncontrolled rectifier and the load. Different converter topologies have been investigated and compared in this paper. The self-PFC features of various converter topologies are examined.
近年来,直流(DC)电源负载在工业和商业应用中越来越普遍。因此,在系统的前端将放置一个交流/直流转换系统,将交流电源转换为系统运行的直流电源。系统的负载端特性会增加输入交流电源电压和电流之间的相移。这会影响系统的电能质量指标,造成系统不稳定。在需要改善电能质量的ac/dc变换器中,在非控制整流器和负载之间需要功率因数校正变换器。本文对不同的转换器拓扑结构进行了研究和比较。研究了各种转换器拓扑结构的自pfc特性。
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引用次数: 0
Analysis of DNN based image watermarking data generation for self-recovery 基于深度神经网络的图像水印数据自恢复分析
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730546
S. Bhalerao, I. Ansari, Adarsh Kumar
The world is rapidly going digital and data security is the foremost concern. Digital images form a large chunk of this digital data. Therefore, techniques like digital image watermarking are used for assuring image security. In this paper application of DNN based compression algorithm is examined for implementation of color image tampering detection and self-recovery system. The DNN based image compression is used to compress the host images and multiple copies of compressed images are embedded in the host image for self-recovery. Due to the smaller size and better quality provided by DNN based compression algorithm, the watermarked images have high PSNR (peak signal to noise ratio). Similarly, the quality of recovered images is also high. The DNN based algorithm is analyzed for different images and tampering conditions. In the best-case scenario, the algorithm can recover the image from about 88% tampering.
世界正在迅速走向数字化,数据安全是人们最关心的问题。数字图像构成了这些数字数据的很大一部分。因此,数字图像水印等技术被用于保证图像的安全性。本文研究了基于深度神经网络的压缩算法在彩色图像篡改检测与自恢复系统中的应用。采用基于深度神经网络的图像压缩技术对主机图像进行压缩,并在主机图像中嵌入多个压缩后的图像副本,实现自恢复。由于基于DNN的压缩算法提供了更小的尺寸和更好的质量,因此水印图像具有较高的PSNR(峰值信噪比)。同样,恢复图像的质量也很高。针对不同的图像和篡改条件,分析了基于深度神经网络的算法。在最好的情况下,该算法可以从大约88%的篡改中恢复图像。
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引用次数: 0
GWO Based Reduced-Order Modeling of Doha Water Treatment Plant 基于GWO的多哈水厂降阶建模
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730526
V. Meena, Hariom Jangid, Vinay Singh
Uncertainty in system parameters can have major impact on system performance. So, uncertainty should be considered while analyzing the performance of system. The uncertainty can be included by considering model as interval system. This study develops an interval model for Doha water treatment system. Firstly, interval model is obtained while considering finite range of uncertainty in transfer function. Then, order reduction method is applied to reduce the order of interval system. To derive the model, an objective function is designed which is a function of time moments and Markov parameters. The objective function minimization is obtained through grey wolf optimization (GWO) algorithm. The GWO is found to be very effective in exploring and exploiting the search space. Due to this, the GWO is considered for minimization of objective function in this study. The results obtained support the efficacy and effectiveness of GWO for minimization of objective function designed for model reduction of interval system of Doha treatment plant.
系统参数的不确定性会对系统性能产生重大影响。因此,在分析系统性能时应考虑不确定性。将模型视为区间系统,可以考虑不确定性。本研究建立了多哈水处理系统的区间模型。首先,考虑传递函数的有限范围不确定性,建立区间模型;然后,采用降阶方法对区间系统进行降阶。为了推导模型,设计了一个目标函数,它是时间矩和马尔可夫参数的函数。通过灰狼优化算法实现目标函数的最小化。人们发现GWO在探索和利用搜索空间方面非常有效。因此,本研究将GWO考虑为目标函数的最小化。所得结果支持了GWO对多哈污水处理厂区间系统模型简化目标函数最小化的有效性和有效性。
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引用次数: 4
Energy Demand Modelling and ANN Based Forecasting using MATLAB/Simulink 基于MATLAB/Simulink的能源需求建模与神经网络预测
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730746
A. A. Khan, A. Minai, L. Devi, Qamar Alam, R. Pachauri
Due to the rapid population growth, the load of electricity has increased sharply, but in comparison the assets used in the power generation are decreasing day by day. So there is a need to correctly predict the load and make a proper plan to handle the situation. It can be expected that the power management structure can be used to improve the stability of power supply and demand. The proposed flow regulator is mainly based on the rules of demand supply modeling of energy. In order to manage energy, this paper provides a method for predicting future power use of residential structures. Load forecasting allows an electric powered application to make crucial choices on buying and producing electric power, load switching and infrastructure development. However, with the deregulation of the power, load forecasting is even extra crucial. Short time load forecasting (STLF) can assist to estimate load flows and to make choices which could save overloading. MATLAB Simulation for the purpose of forecasting, using Artificial Neural Network (ANN) is performed for the assessment of real and forecasted load. The predicted performance is calculated with root mean square error (RMSE) and mean absolute percentage error (MAPE) in this paper. At the end, the predicted performance is also compared with the regression methods using neural regression.
由于人口的快速增长,电力负荷急剧增加,而用于发电的资产却日益减少。因此,有必要正确预测负荷,并制定适当的计划来处理这种情况。可以预期,该电源管理结构可以提高电力供需的稳定性。本文提出的流量调节器主要基于能源供需模型的规则。为了实现能源管理,本文提出了一种预测住宅建筑未来用电量的方法。负荷预测允许电力应用在购买和生产电力,负荷切换和基础设施发展方面做出关键选择。然而,随着电力管制的放松,负荷预测变得尤为重要。短时负荷预测(STLF)可以帮助估计负荷流并做出可以避免过载的选择。以MATLAB仿真预测为目的,利用人工神经网络(ANN)对实际负荷和预测负荷进行评估。本文采用均方根误差(RMSE)和平均绝对百分比误差(MAPE)计算预测性能。最后,将预测结果与神经回归方法进行了比较。
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引用次数: 3
Adaptive Virtual Synchronous Generator Control for Grid Forming Inverters in Islanded AC Microgrid - A Real Time Simulation 孤岛交流微电网成网逆变器的自适应虚拟同步发电机控制——实时仿真
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730666
A. Tiwari, K. Seethalekshmi
Due to the increasing penetration of renewable energy resources in distribution power systems, maintaining system stability has grown as a major concern in system operation. The distributed generators (DGs) used in the microgrid are interconnected to the grid through power electronic converters which do not provide any mechanical inertia due to which the stability issues arise in the grid. This paper focuses on control techniques for grid-forming inverters in islanded mode. This paper proposes an adaptive virtual synchronous generator (VSG) control for the grid forming inverter, in which online control of moment of inertia and damping coefficient are exercised to improve the frequency response in the islanded operation of AC microgrid. A simple microgrid including, a three-phase inverter, in which the input is fed by a DC voltage, and coupled to the load via LC filter, is considered for the simulation study. Different loading scenarios are studied with loads of type constant impedance, constant power, non-linear and dynamic load. To check the efficacy of the proposed scheme, real-time simulation is executed through the TYPHOON HIL-402 device. The real-time simulation results demonstrate the superior performance of adaptive VSG control over the conventional VSG control and droop control techniques.
随着可再生能源在配电系统中的渗透程度不断提高,保持系统的稳定性已成为配电系统运行中的一个重要问题。微电网中使用的分布式发电机(dg)通过电力电子转换器与电网互联,这种转换器不提供任何机械惯性,从而导致电网的稳定性问题。本文主要研究孤岛模式下并网逆变器的控制技术。本文提出了一种用于成网逆变器的自适应虚拟同步发电机(VSG)控制方法,通过在线控制微电网的转动惯量和阻尼系数来改善交流微电网孤岛运行时的频率响应。本文考虑了一个简单的微电网,其中包括一个三相逆变器,其中输入由直流电压供电,并通过LC滤波器耦合到负载上。研究了恒阻抗载荷、恒功率载荷、非线性载荷和动态载荷的不同加载情况。为了验证该方案的有效性,通过TYPHOON hill -402设备进行了实时仿真。实时仿真结果表明,自适应VSG控制优于传统的VSG控制和下垂控制技术。
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引用次数: 4
Comparative Study of Inverted Pendulum with Various Types of Controllers 倒立摆与不同类型控制器的比较研究
Pub Date : 2021-12-10 DOI: 10.1109/CAPS52117.2021.9730645
Srishti, Sudeep Sharma, P. Padhy
Inverted Pendulum shows various applications in robotics industry like human posture system, robotic arm, Segway, rocket launching system, etc. It is also found to be useful in understanding and validating the concept of system theory and control engineering. Earlier, the use of inverted pendulum concentrates with the PID controller, which may not be suitable to analyze all aspects of the system. In recent decades, the use of Model Predictive Controller (MPC) has been encouraged because of its versatility. Also, the updated version of MPC known as Explicit-MPC and Gain Scheduled MPC have provided promising and accurate result than others. This paper presents the comparative analysis of various MPC controllers applied on the inverted pendulum holding on a cart. The simulation analysis has been performed using commercially available MATLAB Software and the simulated results are in good agreement.
倒立摆在机器人工业中的各种应用,如人体姿势系统,机械臂,赛格威,火箭发射系统等。它还有助于理解和验证系统理论和控制工程的概念。早先,使用倒立摆集中与PID控制器,这可能不适合分析系统的各个方面。近几十年来,模型预测控制器(MPC)的使用因其多功能性而受到鼓励。此外,MPC的更新版本,即显式MPC和增益调度MPC,提供了比其他版本更有希望和准确的结果。本文比较分析了各种MPC控制器在小车倒立摆支承上的应用。利用市售的MATLAB软件进行了仿真分析,仿真结果吻合较好。
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引用次数: 1
期刊
2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)
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