Fuzzy Control for Uncertain Electric Vehicle Systems with Sensor Failures and Actuator Saturation

• Published in: International journal of fuzzy systems Vol. 22; no. 5; pp. 1444 - 1453
• Main Authors: Ren, Hongru, Chen, Lin, Zhou, Qi
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2020; Springer Nature B.V
• Subjects: Actuators; Artificial Intelligence; Automobile safety; Computational Intelligence; Control systems design; Controllers; Design; Electric vehicles; Engineering; Failure; Feedback control; Fuzzy control; Fuzzy logic; Fuzzy sets; Management Science; Operations Research; Parameter uncertainty; Sensors; State feedback; System effectiveness; Upper bounds; Variables; Yawing moments; Interval type-2 fuzzy model; Uncertain electric vehicle systems; Sensor failures; Actuator saturation
• ISSN: 1562-2479; 2199-3211
• DOI: 10.1007/s40815-020-00869-y

This paper considers the yaw-moment control issue for uncertain electric vehicle systems with sensor failures and actuator saturation. By employing the interval type-2 (IT2) fuzzy approach, the uncertain electric vehicle systems are constructed as an IT2 fuzzy model. In this model, the parameter uncertainties are described through the membership functions (MFs) with lower and upper bounds. Then, an IT2 fuzzy state-feedback controller, which can share different MFs with the IT2 fuzzy model, is designed. The sensor failures can be quantified by a variable varying in a given interval. Meanwhile, the saturation nonlinearities can be handled by employing a norm-bounded strategy. By means of the Lyapunov stability approach, sufficient conditions of the controller design are derived to achieve the desired performance. Finally, simulation results based on the electric vehicle systems are presented to demonstrate the effectiveness of the proposed control scheme.