| Given the deterioration of the global environment and the increasing emphasis on green development in the social economy,it is imperative that the transportation industry implement green and low-carbon actions.A key strategy is the aggressive development of electric vehicles,which not only promotes reform and innovation in China’s auto industry but also serves as an important means of achieving carbon peaking and carbon neutrality goals.The Permanent Magnet Synchronous Motor(PMSM)is a highly sought-after technology in electric vehicle drive systems due to its low loss and high-power density features.Currently,the electric vehicle drive system is rapidly evolving towards high speed,high efficiency,and light weight.As a result,the accuracy of the position sensor in ultra-high-speed motors is becoming increasingly important.In this regard,position sensorless control is gaining more attention as a safety redundancy strategy.With the support of the National Natural Science Foundation of China(51875261)and the Outstanding Youth Fund of Jiangsu Province(BK20180046),this thesis mainly conducts research on the basic mathematical model of PMSM,traditional vector control,position sensorless control of low speed rotating high-frequency voltage signal injection,high-speed improved model reference adaptive position sensorless control,and full speed domain motor experiments based on d SPACE rapid control prototype development.The main contents are listed as follows:1.The mathematical model of PMSM in three coordinate systems is derived,the principle of PMSM classical vector control and space vector modulation techniques are studied,and the classical vector control is verified and analyzed through model simulation,laying the foundation for subsequent research on position sensorless control.2.To improve the accuracy and accuracy of rotor position estimation,a rotor position iterative estimation algorithm based on finite position set was proposed to solve the problems of complex tuning and low adaptability of the estimation strategy of differential rotor position in traditional low speed rotating high frequency voltage signal injection method.The error of rotor position estimation and velocity response performance are analyzed by modeling and simulation,and the advantages of the proposed iterative estimation algorithm based on finite position set are proved to improve the accuracy of rotor position estimation.3.Aiming at the problems of large current pulsation and complicated tuning of traditional MRAS control strategy based on current flow,an improved MRAS control strategy based on flux quantity was proposed.The cost function was constructed according to flux quantity error and the finite position iterative algorithm was integrated to estimate rotor position,so as to improve the dynamic performance of the motor during high-speed operation.The simulation model of sensorless control system with improved MRAS and weighted method is constructed,and its effectiveness to improve the high-speed control performance of motor is proved.4.A fast control prototype development motor experimental platform was established using a d SPACE standard component system and self-designed IGBT driver hardware.Model construction and code generation were completed using MATLAB,and the algorithm was deployed to hardware through the Control Desk host computer software.Experiments of no-load speed regulation,load speed regulation and load mutation were carried out based on the above experimental platform.The experimental results show that PMSM can achieve stable operation in the full speed domain under the two control strategies. |
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