A robust controller based on advance model-free adaptive method for linear motion systems

The proposed advance model-free adaptive control algorithm is able to regain the control performance when some undesirable situations occur in linear motion system. A case study is employed in the development which involves the control of a linear motor setup using two control algorithms: a nominal control algorithm based on PID tuned for high performance, and the robust accommodating control based on advanced model free adaptive control (AMFAC). Compared with PID control, AMFAC is more robust to disturbances such as vibrations for fast time-varying systems. Simulation results based on the model of a real linear motion system setup are provided to show the effectiveness of the approach.