Study on Optimal Controller for Nonlinear Active Magnetic Bearing Systems Based on DSP Active Queue Management

For nonlinear active magnetic bearing system, a sequential approximate optimization controller design algorithm based on active digital signal processor (DSP) queue control is proposed. By creating a set of linear two point boundary problems (TPBV) that continuously converge to the optimal solution of the system, the initial optimal control problem is transformed into a set of asymmetric linear TPBV problems. The optimal control law consists of an accurate linear element and a nonlinear compensation element. In this method, only iterative nonlinear compensation elements are needed to obtain the solution of the vector differential equation sequence.