Adaptive Event-triggered Fuzzy Control for DC Motor Servo Systems

Abstract

In this paper, an adaptive event-triggered fuzzy tracking control problem is studied for direct current (DC) motor servo systems. Fuzzy logic system (FLS) is introduced to deal with the problem of unknown nonlinear functions. Then, an adaptive event-triggered tracking control scheme is proposed by using backstepping design and event-triggered strategy. The proposed event-triggered tracking controller guarantees that the tracking error converges to an arbitrarily small neighborhood of zero and all the signals in the closed-loop system remain bounded. Finally, the effectiveness of the proposed control scheme is proved by a numerical example.