Pub Date : 2018-07-25DOI: 10.23919/CHICC.2018.8482744
Chao Huang, F. Naghdy, H. Du
This paper focuses on the problem of fault detection for SbW systems with uncertainties and communication time delays via delta operator approach. By designing a filter to generate a residual signal, a fault detection system for SbW system is constructed via delta operator and a threshold function is given. Based on the traditional robust fault detection filter and linear matrix inequality (LMI) approach, the system fault detection can be converted to the solution of the robust control problem. Then the solvability condition of the designed fault detection filter is achieved by solving a convex optimization problem. Finally, the performance of the proposed fault detection system is validated.
{"title":"Delta Operator Based Fault Detection Filter Design for Uncertain Steer-by-Wire Systems with Time Delay","authors":"Chao Huang, F. Naghdy, H. Du","doi":"10.23919/CHICC.2018.8482744","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8482744","url":null,"abstract":"This paper focuses on the problem of fault detection for SbW systems with uncertainties and communication time delays via delta operator approach. By designing a filter to generate a residual signal, a fault detection system for SbW system is constructed via delta operator and a threshold function is given. Based on the traditional robust fault detection filter and linear matrix inequality (LMI) approach, the system fault detection can be converted to the solution of the robust control problem. Then the solvability condition of the designed fault detection filter is achieved by solving a convex optimization problem. Finally, the performance of the proposed fault detection system is validated.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125500375","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}
This paper proposes an integrated digital controller for Magnetically Suspended Rotor (MSR) based on the TMS320F28377D Digital Signal Processor (DSP), which can control both Magnetic Bearing (MB) and motor. The control models of the MBs and the motor are introduced, as well as their control laws. There are two floating CPUs in TMS320F28377D, so one of them is arranged to control the suspending motor of the rotor and the other is to drive the rotor. The communication between two CPUs is executed by Inner Processor Communicate (IPC) module. Both of the hardware scheme and the software scheme are introduced. Suspending experiment and rotating experiment are conducted to verify the function and performance of the proposed controller that it can suspend and drive rotor simultaneously.
{"title":"Integrated Suspending and Rotating Controller Based on TMS320F28377D for Magnetically Suspended Rotor","authors":"Qing Wang, Yanjie Dai, Congcong Li, Xianguang Dong, Lijun Liu, Chao Zou","doi":"10.23919/CHICC.2018.8484014","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8484014","url":null,"abstract":"This paper proposes an integrated digital controller for Magnetically Suspended Rotor (MSR) based on the TMS320F28377D Digital Signal Processor (DSP), which can control both Magnetic Bearing (MB) and motor. The control models of the MBs and the motor are introduced, as well as their control laws. There are two floating CPUs in TMS320F28377D, so one of them is arranged to control the suspending motor of the rotor and the other is to drive the rotor. The communication between two CPUs is executed by Inner Processor Communicate (IPC) module. Both of the hardware scheme and the software scheme are introduced. Suspending experiment and rotating experiment are conducted to verify the function and performance of the proposed controller that it can suspend and drive rotor simultaneously.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115002660","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483585
Xi Zhang, Hui Lin
A dynamics model of UAV braking is established for simulation, and by analyzing the anti-skid braking system, a dual channel anti -skid braking system based on slip-ratio is presented. The fuzzy control theory is used in the control system, and a balance control system is added between the left wheel and right wheel of UAV. The HIL (hardware in loop) experiment results demonstrate that in different conditions, the anti-skid braking system can automatically regulate the brake pressure and keep the UAV from yawing dramatically.
{"title":"UAV Anti-Skid Braking System Simulation","authors":"Xi Zhang, Hui Lin","doi":"10.23919/CHICC.2018.8483585","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483585","url":null,"abstract":"A dynamics model of UAV braking is established for simulation, and by analyzing the anti-skid braking system, a dual channel anti -skid braking system based on slip-ratio is presented. The fuzzy control theory is used in the control system, and a balance control system is added between the left wheel and right wheel of UAV. The HIL (hardware in loop) experiment results demonstrate that in different conditions, the anti-skid braking system can automatically regulate the brake pressure and keep the UAV from yawing dramatically.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115146458","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8482762
Rongjian Zheng, Feng Pan
The on-line control of glutamate fermentation process is difficult, owing to the typical uncertainties of fermentation process and the lack of suitable on-line sensors for primary process variables. A prediction model based on gray relational analysis (GRA) and least squares vector machine (LSSVM) is presented to predict glutamate concentration on-line. First, the correlation analysis of input variables was carried out by grey relational analysis to reduce model dimensionality and improve model performance. Second, in the training process of nonlinear predict model, coupled simulated annealing (CSA) arithmetic combining grid search was adopted to determine model parameter values of LSSVM for better predict accuracy. Simulation results showed that the prediction model proposed for glutamate concentration has obvious prediction performance compared with radial basis function (RBF) neural networks, it can provide effective operation guidance for control and optimization of the glutamate fermentation process.
{"title":"Soft Sensor for Glutamate Fermentation Process Using Gray Least Squares Support Vector Machine","authors":"Rongjian Zheng, Feng Pan","doi":"10.23919/CHICC.2018.8482762","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8482762","url":null,"abstract":"The on-line control of glutamate fermentation process is difficult, owing to the typical uncertainties of fermentation process and the lack of suitable on-line sensors for primary process variables. A prediction model based on gray relational analysis (GRA) and least squares vector machine (LSSVM) is presented to predict glutamate concentration on-line. First, the correlation analysis of input variables was carried out by grey relational analysis to reduce model dimensionality and improve model performance. Second, in the training process of nonlinear predict model, coupled simulated annealing (CSA) arithmetic combining grid search was adopted to determine model parameter values of LSSVM for better predict accuracy. Simulation results showed that the prediction model proposed for glutamate concentration has obvious prediction performance compared with radial basis function (RBF) neural networks, it can provide effective operation guidance for control and optimization of the glutamate fermentation process.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115151678","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8482954
Z. Hongmei, Chen Mingjie, Sun Xiwei, Feng Naizhang
In clinical medicine, the elasticity of artery reflects diastolic function, and it is one of the important indicators of diagnosis of cardiovascular disease. Ultrasonic echo tracking is a kind of new technology risen in recent years to detect arterial elasticity. Arterial elasticity coefficients are got by processing the ultrasound echo signal transmitted in different organs and tissue of human. In ultrasonic echo tracking, accurately estimate the time shift between two signals or phase shift is the key problem of elasticity estimation. Although the correlated technique can be used to realize, yet its calculation problem is the bottleneck of the implementation. In this paper, an improved Newton iterative algorithm was applied to estimate time shift of ultrasonic echo signal, so the precise time displacement estimation was achieved, and the problem of aliasing was overcome at the same time. In addition, because the ultrasonic echo data is large, and large part of it is unnecessary, so an adaptive testing blood vessel position tracking gate setting technology is proposed to improve the efficiency of data processing, and it reduced the computational complexity to a certain extent and improve the efficiency of data processing.
{"title":"Ultrasonic Echo Tracking Based on Improved Newton Iteration","authors":"Z. Hongmei, Chen Mingjie, Sun Xiwei, Feng Naizhang","doi":"10.23919/CHICC.2018.8482954","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8482954","url":null,"abstract":"In clinical medicine, the elasticity of artery reflects diastolic function, and it is one of the important indicators of diagnosis of cardiovascular disease. Ultrasonic echo tracking is a kind of new technology risen in recent years to detect arterial elasticity. Arterial elasticity coefficients are got by processing the ultrasound echo signal transmitted in different organs and tissue of human. In ultrasonic echo tracking, accurately estimate the time shift between two signals or phase shift is the key problem of elasticity estimation. Although the correlated technique can be used to realize, yet its calculation problem is the bottleneck of the implementation. In this paper, an improved Newton iterative algorithm was applied to estimate time shift of ultrasonic echo signal, so the precise time displacement estimation was achieved, and the problem of aliasing was overcome at the same time. In addition, because the ultrasonic echo data is large, and large part of it is unnecessary, so an adaptive testing blood vessel position tracking gate setting technology is proposed to improve the efficiency of data processing, and it reduced the computational complexity to a certain extent and improve the efficiency of data processing.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115232257","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8484105
Yuliang Jiang, Xinli Wang, Xiaohong Yin, Lei Wang, Hongxia Zhao, L. Jia
LDAC (liquid desiccant air conditioning) has been an attention for energy conservation for building environment management. To fulfil the requirement of independent air temperature and humidity control efficiently, it is essential to have an in-depth knowledge of dynamic characteristics for heat and mass transfer in the dehumidifier. In this paper, a modelling method based on fuzzy logical and adaptive neural network is presented to describe the dynamic characteristics of heat and mass transfer between air and desiccant solution in dehumidifier. Fuzzy logic and neural network are integrated effectively to make the proposed model with better dynamic response. Reliable large amount of experimental data sets from existing testing platform are employed to train this model and verify through simulation with MATLAB environment. The results show that the proposed model agrees well dynamically with the LDAC systems. The average testing errors are less than 5% for humidity ratio prediction and less than 10% for temperature prediction, respectively. The presented dynamic model is valuable to further study on dynamic control strategy development of the dehumidifier.
{"title":"A T-S Model Based on Adaptive Fuzzy Neural Network for Liquid Desiccant Air Conditioning","authors":"Yuliang Jiang, Xinli Wang, Xiaohong Yin, Lei Wang, Hongxia Zhao, L. Jia","doi":"10.23919/CHICC.2018.8484105","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8484105","url":null,"abstract":"LDAC (liquid desiccant air conditioning) has been an attention for energy conservation for building environment management. To fulfil the requirement of independent air temperature and humidity control efficiently, it is essential to have an in-depth knowledge of dynamic characteristics for heat and mass transfer in the dehumidifier. In this paper, a modelling method based on fuzzy logical and adaptive neural network is presented to describe the dynamic characteristics of heat and mass transfer between air and desiccant solution in dehumidifier. Fuzzy logic and neural network are integrated effectively to make the proposed model with better dynamic response. Reliable large amount of experimental data sets from existing testing platform are employed to train this model and verify through simulation with MATLAB environment. The results show that the proposed model agrees well dynamically with the LDAC systems. The average testing errors are less than 5% for humidity ratio prediction and less than 10% for temperature prediction, respectively. The presented dynamic model is valuable to further study on dynamic control strategy development of the dehumidifier.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"542 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115425058","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483839
Mohammad Shohidul Islam, Dongkai Yang, Sultana Easmin Siddika, Rodolfo D. Moreno Santillán, M. S. Injamamul Haque Masum
This paper focuses the characteristics of power waveforms according to different wind speed of sea surface and then sea wind speed is estimated from the amplitude of power waveforms. The power waveforms are generated from the delay signals of Beidou MEO satellite. The remote sensing of GNSS concept is utilized to get information from sea surface. Because, this technique has been already proved as an effective tool to retrieve significant information from earth's surface since last twenty years. Still now, it has been utilizing as an advance technique for sea state monitoring, i.e. sea wind speed & direction, sea wave height, sea roughness measurement and so on. It is mainly generated the waveforms of Beidou MEO satellite for direct and reflected signals. It is obtained that the amplitude & shape of these power waveforms are varying according to wind speed. It is indicated that there is a sharp relationship between the amplitude of the waveforms and sea wind speeds. Two models are used to generate the waveforms from reflected signals. The wave spectrum model is used to find sea surface slopes i.e. up & cross variance and these up & cross variance is used as input on Z-V scattering model to generate power waveforms. The real wind speed of the experiment site of GNSS-R data collection for same time domain is also collected. The linear regression method is used to established a relationship between wind speeds and amplitudes of the waveforms. This relation is used to measure the sea wind speed. It is found that estimated wind speeds are matched closely with real wind speed and model waveforms performs good results with real data waveforms.
{"title":"Sea Wind Speed Estimation from Power Waveforms of GNSS-R Delay Signals of Beidou MEO Satellite","authors":"Mohammad Shohidul Islam, Dongkai Yang, Sultana Easmin Siddika, Rodolfo D. Moreno Santillán, M. S. Injamamul Haque Masum","doi":"10.23919/CHICC.2018.8483839","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483839","url":null,"abstract":"This paper focuses the characteristics of power waveforms according to different wind speed of sea surface and then sea wind speed is estimated from the amplitude of power waveforms. The power waveforms are generated from the delay signals of Beidou MEO satellite. The remote sensing of GNSS concept is utilized to get information from sea surface. Because, this technique has been already proved as an effective tool to retrieve significant information from earth's surface since last twenty years. Still now, it has been utilizing as an advance technique for sea state monitoring, i.e. sea wind speed & direction, sea wave height, sea roughness measurement and so on. It is mainly generated the waveforms of Beidou MEO satellite for direct and reflected signals. It is obtained that the amplitude & shape of these power waveforms are varying according to wind speed. It is indicated that there is a sharp relationship between the amplitude of the waveforms and sea wind speeds. Two models are used to generate the waveforms from reflected signals. The wave spectrum model is used to find sea surface slopes i.e. up & cross variance and these up & cross variance is used as input on Z-V scattering model to generate power waveforms. The real wind speed of the experiment site of GNSS-R data collection for same time domain is also collected. The linear regression method is used to established a relationship between wind speeds and amplitudes of the waveforms. This relation is used to measure the sea wind speed. It is found that estimated wind speeds are matched closely with real wind speed and model waveforms performs good results with real data waveforms.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115611736","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8482740
Tao Wu, Kaiyuan Fu, Maolin Cao, Zhenjiang Feng
In this paper, the theoretical analysis and structural optimization of switched reluctance motor are studied to improve the vibration and noise of this type of motor. Starting with the structure of the motor, a switched reluctance motor with a new rotor structure is analyzed and designed. By changing the magnetic field distribution inside the motor, the new rotor structure reduces the vibration and deformation of the stator core and the shell, thereby it can improve the vibration and noise of the motor in operation. By using the finite element analysis method of electromagnetic field, the simulation analysis shows that the radial magnetic force and torque ripple between the stator and rotor of the new type of rotor-structure switched reluctance motor can be reduced to a certain extent, and at the same time the higher efficiency can be obtained, then enhancing the performance of the motor comprehensively. Finally, the simulation results are compared and analyzed to obtain the optimal parameters of the prototype rotor structure.
{"title":"Optimized Design of Switched Reluctance Motor Based on a New Rotor Structure","authors":"Tao Wu, Kaiyuan Fu, Maolin Cao, Zhenjiang Feng","doi":"10.23919/CHICC.2018.8482740","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8482740","url":null,"abstract":"In this paper, the theoretical analysis and structural optimization of switched reluctance motor are studied to improve the vibration and noise of this type of motor. Starting with the structure of the motor, a switched reluctance motor with a new rotor structure is analyzed and designed. By changing the magnetic field distribution inside the motor, the new rotor structure reduces the vibration and deformation of the stator core and the shell, thereby it can improve the vibration and noise of the motor in operation. By using the finite element analysis method of electromagnetic field, the simulation analysis shows that the radial magnetic force and torque ripple between the stator and rotor of the new type of rotor-structure switched reluctance motor can be reduced to a certain extent, and at the same time the higher efficiency can be obtained, then enhancing the performance of the motor comprehensively. Finally, the simulation results are compared and analyzed to obtain the optimal parameters of the prototype rotor structure.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115612759","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8482561
Can Li, Jie Lian, Hongwei Wang
This paper investigates the adaptive compensation for an uncertain nonlinear system with actuator failures and input quantization. A new switching fault-tolerant controller is proposed based on the dwell time bounded by the minimal time length before total loss of effectiveness (TLOE) of an actuator group and the maximal time length spending for an actuator group recovering from TLOE mode. By estimating the infimum of the fault parameters for all active times, the fault for each actuator is allowed to appear infinite many times. The boundedness of the (adjustable) jump size of Lyapunov functions for different actuator groups at switching instants is guaranteed by exploiting the parameter projection operator. Under the designed controller and switching signal, the output tracking error of the system can be driven to a tunable neighborhood of the origin. The proposed method is validated by a numerical example at last.
{"title":"Switching Adaptive Compensation for Actuator Failures of Uncertain Nonlinear Systems with Quantized Input","authors":"Can Li, Jie Lian, Hongwei Wang","doi":"10.23919/CHICC.2018.8482561","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8482561","url":null,"abstract":"This paper investigates the adaptive compensation for an uncertain nonlinear system with actuator failures and input quantization. A new switching fault-tolerant controller is proposed based on the dwell time bounded by the minimal time length before total loss of effectiveness (TLOE) of an actuator group and the maximal time length spending for an actuator group recovering from TLOE mode. By estimating the infimum of the fault parameters for all active times, the fault for each actuator is allowed to appear infinite many times. The boundedness of the (adjustable) jump size of Lyapunov functions for different actuator groups at switching instants is guaranteed by exploiting the parameter projection operator. Under the designed controller and switching signal, the output tracking error of the system can be driven to a tunable neighborhood of the origin. The proposed method is validated by a numerical example at last.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115654469","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 : 2018-07-01DOI: 10.23919/CHICC.2018.8483526
Kong Zhiguo, Huang Xin, He Penglin, Wang Bin, Li Wenshuai, Ma Kai
To solve the power flow management problem of two energy sources in a composite energy source system, a incremental dynamic optimization method is proposed in this paper. The incremental adjustment criteria are studied and the penalty coefficients is introduced to optimize the increment. Further, the realization of the energy management strategy of an electric bus equipped with CHS hybrid power system is presented. The bus was tested on the bench with CCBC condition and operates on bus lines. And the test results and operating data demonstrate the effectiveness and robustness of the proposed method.
{"title":"Increment Dynamic Adjustment Method for Hybrid Energy Source System in Electric Vehicles","authors":"Kong Zhiguo, Huang Xin, He Penglin, Wang Bin, Li Wenshuai, Ma Kai","doi":"10.23919/CHICC.2018.8483526","DOIUrl":"https://doi.org/10.23919/CHICC.2018.8483526","url":null,"abstract":"To solve the power flow management problem of two energy sources in a composite energy source system, a incremental dynamic optimization method is proposed in this paper. The incremental adjustment criteria are studied and the penalty coefficients is introduced to optimize the increment. Further, the realization of the energy management strategy of an electric bus equipped with CHS hybrid power system is presented. The bus was tested on the bench with CCBC condition and operates on bus lines. And the test results and operating data demonstrate the effectiveness and robustness of the proposed method.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124459651","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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