基于模糊理論的數(shù)控伺服系統(tǒng)仿真研究

在數(shù)控伺服系統(tǒng)中，當(dāng)系統(tǒng)參數(shù)發(fā)生變化或者受到外界干擾時(shí)，采用PID控制容易導(dǎo)致過大的超調(diào)甚至引起震蕩，從而使系統(tǒng)的動(dòng)靜態(tài)性能變差。本文提出一種模糊PID控制器，
它結(jié)合了PID控制和模糊控制的優(yōu)點(diǎn)，具有較好的自適應(yīng)和抗干擾能力。以本研究所研制的數(shù)控高速銑齒機(jī)Z軸位置伺服系統(tǒng)為研究對象，在Matlab中分別采用PID和模糊PID控制進(jìn)行仿真。結(jié)果表明，模糊PID控制器具有較強(qiáng)的魯棒性和抗干擾能力，更能滿足數(shù)控伺服系統(tǒng)的性能要求。
關(guān)鍵字：模糊PID控制器；交流伺服系統(tǒng)；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