Abstract
This paper proposes a fuzzy PI speed controller which is used in electric vehicle’s drive control system insensitive to parameter change and disturbance, using fuzzy control theory. A permanent magnet synchronous motor (PMSM) is modelled mathematically in d-q reference frame. In this paper, a sliding model and fuzzy control theory are used to simulate the PMSM models using fuzzy control theory. Simulink software is used to analyze and simulate the simulation models which show that the proposed PI control based on fuzzy logic will have better anti-interference, better dynamic performance, and faster dynamic response speed when compared with the sliding motor control. Hence the proposed methodology is considered to be the ideal control method with a predefined vector control reference value for the electric vehicle’s motor.
Publisher
Inventive Research Organization
Subject
Materials Chemistry,Economics and Econometrics,Media Technology,Forestry
Reference13 articles.
1. [1] Chen, Q., Liao, C., Ouyang, A., Li, X. and Xiao, Q. (2016) ‘Research and development of inwheel motor driving technology for electric vehicles’, International Journal of Electric & Hybrid Vehicles, Vol. 8, No. 3, pp.242–253.
2. [2] Zheng, W. and Pi, Y. (2016) ‘Study of the fractional order proportional integral controller for the permanent magnet synchronous motor based on the differential evolution algorithm’, Isa Transactions, Vol. 63, No. 4, pp.387–393.
3. [3] Ji, H. and Li, Z. (2016) ‘Research and simulation of SVPWM algorithm based on BP neural network’, Key Engineering Materials, Vol. 693, No. 9, pp.1391–1396.
4. [4] Xu, X. and Lin, H. (2014) ‘Integrated design for permanent magnet synchronous motor servo systems based on dynamic sliding mode control’, Transactions of China Electrotechnical Society, Vol. 29, No. 5, pp.77–83.
5. [5] Zhu, W., Fu, D. and Ge, D. (2016) ‘PMSM control system based on RBF neural network’. Electronic Science and Technology, Vol. 29, No. 1, pp.161–164, 168.