Discrete-Time Adaptive Fuzzy Event-Triggered Command Filtered Control for Induction Motors With Input Saturation

In this brief, a discrete-time adaptive fuzzy event-triggered command filtered control scheme is proposed for induction motors (IMs) with input saturation. Firstly, the event-triggered (ET) mechanism is used to determine whether the adaptive law and controller need to be updated by setting trigger conditions, which decreases the wastage of communication resources. Secondly, the “causal contradiction” of the conventional backstepping is addressed with the command filtering. In addition, to estimate the rotor angular velocity of IMs, the fuzzy observer is constructed and the fuzzy logic systems are employed to approximate the unknown nonlinear functions. Finally, simulation and experiment results indicate the effectiveness of the designed control scheme.