GA-based grey fuzzy dynamic sliding mode controller design

We propose a GA-based grey fuzzy dynamic sliding mode controller. First, we employ the dynamic sliding mode technique to guide the design of the fuzzy control rules, so that the fuzzy controller has the characteristics of smoothness and robustness. Then, we adopt a grey model as a predictor to make the one-step ahead prediction of the state behavior of the controlled plant, so that we can obtain the control signal in advance based on the predicted values, and hence to avoid the system out of safety. Finally, we apply the hybrid real-coded genetic algorithm to search the optimal parameters for the grey fuzzy dynamic sliding mode controller. Simulation results show that the GA-based grey fuzzy dynamic sliding mode controller exhibits good performance