针对数字共焦显微技术中的压电陶瓷物镜驱动系统,分析了模糊PID控制器的控制性能,提出了离线优化思想,将初始参数的优化从在线实时调整中分离出来,在离线状态下预先采用遗传算法完成全局优化,以减小在线调整时间及调整次数,提高响应速度.经优化的初始参数配置于模糊PID控制中,对系统进行在线实时反馈调整,控制系统进行步进定位驱动.在Matlab环境下的实验结果表明,该方法显著提高了系统的控制精度和响应速度,为驱动系统的进一步研究提供理论依据.
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.