PID Controller of Piezoceramic Objective-Lens Actuator System Based on Offline Optimization

The piezoelectric ceramic objective-lens driving system used in digital confocal microscopy is studied. With the analysis of the performance of fuzzy PID controller, the idea of offline optimization is put forward and has been implemented in this research. The optimization of initial parameters was separated from the online real-time adjustment first and, under the offline state, a genetic algorithm was used to complete the global optimization in advance. In this manner, the online regulating time and the number of adjustment could be reduced, and the response speed of the system could be improved. The optimized initial parameters were configured in fuzzy PID control to implement the online real-time adjustment and feedback control of the objective-lens driving system. The experimental results in Matlab environment show that this new control method can significantly improve the accuracy and response speed of the control system and also provide a theoretical basis for further study.