Affiliation:
1. School of Automation Engineering, University of Electronic Science and Technology of China, China
2. Institute of Electric Vehicle Driving System and Safety Technology, University of Electronic Science and Technology of China, China
Abstract
This paper studies the tracking issue of a nonlinear system with actuator faults and constraints. A new adaptive fuzzy control strategy based on an event-triggered mechanism is designed. First, the fuzzy logic system (FLS) is applied as an estimator to deal with unknown nonlinear functions. Then, in order to guarantee that the system states are within the limits of the constraints, the integral barrier Lyapunov function (IBLF) is employed, which ensures the tracking error can converge to zero in backstepping analysis simultaneously. Besides, a sliding mode differentiator, which uses the dynamic surface control technique, is constructed for solving complex computational issues. Furthermore, in order to save communication consumption, a new event-triggered tracking strategy is presented. Finally, the simulation results confirm that the proposed method is viable.
Funder
Fundamental Research Funds for the Central Universities
Natural Science Foundation of Sichuan Province
Key Research and Development Program of Sichuan Province
National Natural Science Foundation of China