Adaptive Paralleled DMC-PID Controller Design on System with Uncertainties

This paper presents an adaptive controller design method for a class of system with modeling uncertainties or environment disturbance. The controller has a paralleled structure of Dynamic Matrix Control and PID Control. The weight for each of the controller can be adaptively tuned through iteratively learning. It can make full use of the model information, meanwhile resisting disturbance and overcoming the un-modeled uncertainties in a certain degree. The simulation and comparison with other control method show that this method has better tracking performance, disturbance resistance, robustness and great feasibility to be implemented in engineering application.