Adaptive inverse control of linear motor based on ANFIS

The plant studied in this paper is a servo platform vertically driven by a permanent magnet synchronous linear motor (PMSLM). Due to the passive influence of the nonlinear factors such as imbalance torque, friction, static resistance torque and inertia change, an inverse control method based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to improve the system performance. The ANFIS is adopted to design the nonlinear controller, which has the inverse transfer function of the plant. Normally, there is no direct feedback in the control loop, except that in the adjustment period, the plant output is monitored and utilized by an adaptive algorithm to adjust the parameters of the controller. Simulation and experimental results verify that the method can overcome the adverse effects of nonlinear factors.