A performance monitoring method for PID control system

The change of plant dynamics results in mismatch between the current model and the model used for design, which may have significant impacts on the performance of control system. A method to monitor the influence of the mismatch is proposed, including the estimation of mismatched model and the evaluation of control performance. The estimation method is based on back-propagation (BP) neural network and provide more accurate and reliable estimation effect. Serious mismatch can be alarmed according to evaluation method presented. Simulation results demonstrate the effectiveness of the proposed method.