Design of the Nonlinear Predictive Functional Controller for turntable servo system

The accurate modeling and precise control are both challenging problems in the control of turntable. In this paper, the global optimization predictive controller based on Nonlinear Predictive Functional Control (NPFC) and Hammerstein model is proposed especially to the servo turntable, using the modified two-step method. One kind of PFC controller, which contains the matrix operation and state space equation, is used to the dynamic linear part of the Hammerstein system. Then a global optimization, is realized by the Genetic Algorithm (GA). In order to apply the above NPFC algorithm, a precise nonlinear Hammerstein model of servo turntable is built though the approach of RLS-PSO parameters identification. The simulation results show the effectiveness of modeling method and control algorithm against the servo system.