Improved Satisfactory Predictive Control Algorithm with Fuzzy Setpoint Constraints

Predictive control is a control algorithm based on model and optimization, which has much difference from the traditional optimization. The concept of predictive control means the idea of satisfactory control. In this paper, the satisfactory predictive control under fuzzy constraints is studied and the satisfactory predictive control algorithm is improved by adding the membership degrees of errors between the predictive outputs and their setpoints into the fuzzy constraints for the system with hard constraints and soft constraint. Using the satisfactory control algorithm presented in this paper, whether the setpoint control problem or horizon control problem can be satisfied, while the hard constraints are guaranteed; the soft constraints and the output tracking are satisfied as much as possible. The simulation results verify the affectivity