Cooperative optimization-Based Efficient Autonomous Parameter Design for Cascade Feedback Control System

In industrial servo systems, cascade feedback (FB)control systems are widely used for the high-speed and highaccuracy positioning control. In general, since the parameter design for the multiple controllers is a time-consuming task that requires expert skills for designers, development of an autonomous design method based on mathematical optimization becomes a major challenge. In this paper, a cooperative optimization method presented recently for single-loop FB controller design is applied to an example position/velocity cascade controller design for a laboratory piezoelectric-driven fast steering mirror, in comparison with the conventional autonomous design method based on a genetic algorithm (GA). In addition, a practical feasible initial parameter design method in cooperative optimization for the cascade controller design is newly presented to realize the efficient autonomous design.