Title :
Model-free PID controller with gain scheduling for turning processes
Author :
Wang, Ning ; Zheng, Zhong ; Honglu Chen
Author_Institution :
Res. Inst. of Adv. Process Control, Zhejiang Univ., Hangzhou, China
Abstract :
The model-free PID control method with fuzzy neuron gain scheduling is proposed for turning processes in this paper. In order to enhance the control system stability and adaptability to the plants with nonlinearities and uncertainties, the model-free PID controller is designed to keep the cutting force to be constant by changing the controller gain on-line when a cutting tool cuts at various cutting depth or the spindle operates in different speeds. In this control system, the PID controller is used to control the turning process, the neuron is applied to tune the PID controller gain, and a fuzzy scheme is set up to change the neuron gain. With the two examples of different turning processes, the experiments of using the proposed control method are made. The simulation results show the good performance of the model-free PID controller.
Keywords :
control nonlinearities; control system synthesis; cutting; cutting tools; fuzzy control; machine tool spindles; neurocontrollers; process control; stability; three-term control; turning (machining); adaptability; control system stability enhancement; controller gain; cutting depth; cutting force; cutting tool; fuzzy control; fuzzy neuron gain scheduling; model free PID controller design; neuron gain; nonlinearities; spindle; turning process; uncertainties; Control nonlinearities; Control system synthesis; Control systems; Force control; Fuzzy control; Neurons; Nonlinear control systems; Stability; Three-term control; Turning;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1244247