モデル予測制御による空気圧力制御系のシミュレーションと実験

抄録

In this parer, we deal With the process control system(SISO) and model prediction control(MPC) algorithm. The control results of MPC for a standard performance index do not behave as one expect. We study the MPC algorithm on a performance index with the control energy constraint. Furthermore, we propose an adaptive MPC algorithm with an estimation of the impulse response function by means of least squares. The steady state error is improved by the proposed method. The method is examined by simulation and experimental studies on the air pressure control plant.