Study on Fuzzy-PID control for SM-CVT speed ratio based on PSO algorithm

Article type: Research Article

Authors: Zhang, Lan-Chun^* | Liu, Sen | Shen, Hong-Sheng | Wang, Shan-Feng | Zhang, Shuo

Affiliations: Vehicle and Traffic Engineering School, Jiangsu University of Technology, Changzhou 213001, Jiangsu, China

Correspondence: [*] Corresponding author: Lan-Chun Zhang, Vehicle and Traffic Engineering School, Jiangsu University of Technology, Changzhou 213001, Jiangsu, China. Tel.: +86 13776817501; E-mail:coast_011@163.com

Abstract: This paper puts forward a speed ratio control by changing the diameter of the Continuously Variable Transmission primary and secondary pulley with a single motor actuation system. The structural components and working principle of this actuation system are introduced. A control strategy based on Fuzzy-PID is proposed to improve the control precision of the nonlinear and solve problems such as the time lag and instability of Continuously Variable Transmission speed ratio control system. Fuzzy-PID speed ratio controller model is set up, in which parameter factors are optimized by the Particle Swarm Optimization algorithm to realize the optimization of the speed ratio control system. Simulation results show that the Fuzzy-PID controller optimized by Particle Swarm Optimization algorithm can improve the control precision of system and the performance of the speed ratio tracking.

Keywords: SM-CVT, Particle Swarm Optimization, Fuzzy-PID, speed ratio control

DOI: 10.3233/JCM-170729

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 17, no. 3, pp. 431-442, 2017