Model predictive controller performance monitoring based on impulse response identification

Model predictive control has been applied widely recently. But many model predictive controllers cannot be operated for a long time, the main reason is that there is lacking of model predictive controller performance monitoring system, then the model predictive controller is absent from self-healing ability. Based on Haar scale transform, a method of identification of impulse response for closed-loop sensitivity function and complementary sensitivity function is proposed. Combining the principle of model predictive control and robustness analysis, a method of model predictive controller performance monitoring based on identified impulse response for closed-loop sensitivity function and complementary sensitivity function is proposed. Simulation results and industrial application results have verified the feasibility and effectiveness of the proposed method.