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Study On Optimum Control Of Permanent Magnet Synchronous Motor Drive System For Electric Vehicles

Posted on:2019-08-23Degree:MasterType:Thesis
Country:ChinaCandidate:C D ZhangFull Text:PDF
GTID:2382330548982233Subject:Electrical engineering
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With the energy crisis and environmental pollution worsen of the world,electric vehicles are the economic growth point of the new era and the fundamental way to realize the breakthrough of energy transformation.The operating conditions of electric vehicles are complex and diverse.Not only do they require highly efficient and reliable of the motors,but also require have strong anti-interference ability,fast dynamic response speed and strong robustness the motor drive control system.The drive control strategy for permanent magnet synchronous motor(PMSM)used in electric vehicle is studied in this paper.The intelligent optimization algorithm is used to optimize the parameters of drive control system of PMSM.In the PMSM vector control system,the speed loop will be adjusted by a CKMTOA PID controller.A direct torque control(DTC)for PMSM based on active-disturbance rejection control(ADRC)optimized is proposed in this paper.The major research works of the thesis are as follows:(1)Describes the research difficulties and key technologies of permanent magnet synchronous motor drive control system for electric vehicles.Based on the research status of electric vehicles at present in domestic and overseas,this paper compares the advantages and disadvantages of electric vehicles with various motors,and comprehensive selection of PMSM as the driving motor of electric vehicle.Combined with the basic structure of the PMSM for electric vehicles,the mathematical model under different coordinates were deduced.The theory of vector control and direct torque control of PMSM were analyzed,and the control method of PMSM drive control system for electric vehicle was expounded.The control effect and existing problems by the control strategy of the PMSM drive control system for the electric vehicle were summarized.The optimized control strategy of the permanent magnet synchronous motor drive system based on the improved kinetic-molecular theory optimization algorithm was proposed.(2)Improved the kinetic-molecular theory optimization algorithm(KMTOA)and propose a PMSM vector control strategy based on self-tuning PID parameters by the improved KMTOA.According to the theory of molecular thermodynamics,the basic principles and optimization iterative equations of the KMTOA were expatiated.Due to the KMTOA has the disadvantages of falling into local optimum and slow convergence,this paper proposes a chaotic kinetic-molecular dynamics optimization algorithm(CKMTOA).CKMTOA uses chaos search to prevent the algorithm from falling into local optimum and improves the convergence rate by employing adaptive inertia weighting factor.The problem that the parameters of the speed loop PID controller is hard to be setted in the vector control system of PMSM,it was solved by CKMTOA algorithm.Based on the MATLAB/Simulink simulation platform,a simulation model of self-tuning PID parameters for PMSM vector vontrol by CKMTOA have been established.Compared with the traditional PID and particle swarm optimization PID controller optimization experiment,we can see that the CKMTOA optimization PID controller in the PMSM vector control system has faster convergence,stronger global optimization ability,torque and speed response faster and more stable characteristics.(3)Propose a novel direct torque control strategy of PMSM based on chaotic kinetic-molecular dynamics optimization algorithm,kernel extreme learning machine and active-disturbance rejection control.Due to the complex and diverse operating conditions of the electric vehicle,it is required that the PMSM drive control system has strong anti-jamming capability and a fast dynamic response speed.Based on this,this paper presents a direct torque control strategy for PMSM based on ADRC optimized by improved KELM method.The CKMTOA-KELM optimal regression model was obtained by the CKMTOA optimizes the kernel parameters and penalty coefficients of the KELM model.Finally,the ADRC controller embedded the CKMTOA-KELM optimal regression model was analyzed and optimized to improve the dynamic response speed and anti-jamming capability of the system and enhance the robustness of the system.The simulation results have verified the feasibility and effectiveness of this method.(4)Design of hardware experiment platform and GUI interface of PMSM control system for electric vehicles.In order to combine theory with practice and facilitate the users to understand and apply,According to the necessary conditions of the PMSM drive control system for electric vehicles DSP chip control circuit,DSP power supply circuit,main power circuit,signal sampling circuit and photocoupler drive circuit were designed.A hardware experimental platform for PMSM drive system based on TMS320F28035 DSP as the core processor and the graphical user GUI interface of PMSM control system for electric vehicles design based on MATLAB simulation platform have been set up.Through the system hardware experiment platform and GUI software interface,the control method proposed in this paper can be more intuitively popularized and applied to users,and make it easier for users to understand.
Keywords/Search Tags:Electric Vehicles, Permanent Magnet Synchronous Motor(PMSM), Chaotic Kinetic Molecular Theory Optimization Algorithm(CKMTOA), vector control, Direct Torque Control(DTC), Kernel Extreme Learning Machine(KELM), Active Disturbance Rejection Controller(ADRC)
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