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Hydrogen Fuel Cell High-Speed Permanent Magnet Synchronous Motor Control Based On Sliding Mode Observer

Posted on:2024-02-13Degree:MasterType:Thesis
Country:ChinaCandidate:Z W ZhangFull Text:PDF
GTID:2531307106490244Subject:Electronic information
Abstract/Summary:PDF Full Text Request
Hydrogen fuel cells have been widely recognized for their advantages of low pollution and high efficiency.As the core component of hydrogen fuel cells,the air compressor mainly consists of a high-speed permanent magnet synchronous motor and its control system.The sensorless control algorithm-based high-speed permanent magnet synchronous motor control system has the advantages of small size,low cost,and high reliability,and has become a research hotspot among scholars at home and abroad.Sliding mode observer algorithm has become the first choice in the current sensorless control field due to its strong robustness and simple structure.However,the traditional sliding mode observer algorithm has problems such as high-frequency switch noise,harmonic interference,filtering delay,and parameter changes.The purpose of this thesis is to propose improvement measures based on the above issues,improve the accuracy of the traditional sliding mode observer,and improve the control performance of the high-speed permanent magnet synchronous motor,the main work is as follows:(1)A second-order generalized integrator structure with better high-frequency noise suppression capability is proposed to replace the low-pass filter in the sliding mode observer for the problems of high-frequency switching noise,harmonic interference and filtering phase delay in the conventional sliding mode observer algorithm.The normalized phase-locked loop with fundamental speed feedforward is also used as the estimation module of rotor position and speed,and the estimated rotor angular frequency synchronized feedback is used as the resonant frequency of the improved second-order generalized integrator to realize the adaptive filtering of the sliding mode observer.The results show that the adaptive filtered sliding mode observer has better dynamic and static performance and high frequency noise suppression capability through Simulink simulation and comparison analysis.(2)For the influence brought by the change of electrical parameters during the actual operation of the motor,the reasons for the change of electrical parameters are analyzed,and it is verified by voltage vector diagram and simulation that the change of different parameters will have different degrees of influence on the sliding mode observer.The stator current equation of the motor is selected as the parameter identification model,a particle swarm optimization algorithm is introduced for online parameter identification,and an improved particle swarm optimization algorithm with higher applicability is proposed based on the application of motor parameter identification,and an adaptive filtered sliding mode observation with parameter identification is constructed.The results are verified by Simulink simulation comparison,which shows that the improved particle swarm algorithm has better results in motor parameter identification.(3)The hydrogen fuel cell air compressor control system was designed by equipping a 9k W hydrogen fuel cell air compressor and based on Infineon AURIX TC275 chip,completed the construction of the experimental frame and the development of hardware and software.The I/F open-loop starting and dead-time compensation of the hydrogen fuel cell high-speed permanent magnet synchronous motor were realized by the drive system,and the proposed improved sliding mode observer algorithm was experimentally verified.The experimental results show that the improved sliding mode observer algorithm has better dynamic and static performance and high-frequency noise suppression capability,and the accuracy of the sliding mode observer is further improved after accessing the parameter identification algorithm to update the parameters for the sliding mode observer in real time.The improved sliding mode observer algorithm proposed in this thesis can effectively solve the problems existing in the traditional sliding mode observer algorithm,improve the control accuracy of high-speed permanent magnet synchronous motor,and has certain practical engineering application value.
Keywords/Search Tags:Permanent Magnet Synchronous Motor, Sliding Mode Observer, Adaptive Filtering, Particle Swarm Optimization Algorithm, Parameter Identification
PDF Full Text Request
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