在數控伺服系統中，當系統參數發生變化或者受到外界干擾時，采用PID控制容易導
致過大的超調甚至引起震蕩，從而使系統的動靜態性能變差。本文提出一種模糊PID控制器，它結合了PID控制和模糊控制的優點，具有較好的自適應和抗干擾能力。以本研究所研制的數控高速銑齒機Z軸位置伺服系統為研究對象，在Matlab中分別采用PID和模糊PID控制進行仿真。結果表明，模糊PID控制器具有較強的魯棒性和抗干擾能力，更能滿足數控伺服系統的性能要求。
關鍵字：模糊PID控制器；交流伺服系統；位置控制；MATLAB仿真
Simulation on CNC servo system based on fuzzy theory
SHI Li-ting, HUANG Xiao-diao , HONG Rong-jing
（Mechanical and Power Engineering Department of Nanjing University of Technology, Nanjing Jiangsu, 210009, China）
Abstract: Variation of the system parameters and external disturbances always happen in the CNC servo system. With a PID controller, it may lead to large overshoot even oscillation, then the steady state and dynamic state performance will be worse. In this paper, a fuzzy-PID controller was proposed,and it incorporated the advantages of PID control and fuzzy control，which had good performance of adaptation and disturbance rejection. Based on the z-axis position servo system of a high-speed milling machine researched on our institute, simulations were carried out in Matlab with PID controller and fuzzy-PID controller. The results show that the system has stronger robustness and disturbance rejection with the latter, which can meet the performance requirements of the CNC servo system better.
Keywords: Fuzzy-PID controller; AC-servo system; Position control; MATLAB simulation