Establishment of control algorithm using intelligent PID for machine tools application

Husni, Siti Nur Hidayah (2021) Establishment of control algorithm using intelligent PID for machine tools application. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) Establishment of control algorithm using intelligent PID for machine tools application.pdf - Submitted Version Download (1MB)
	Text (Full text) Establishment of control algorithm using intelligent PID for machine tools application.pdf - Submitted Version Restricted to Repository staff only Download (3MB)

Abstract

The demand for high precision, stability, and speed encourages the improvement of the machine tools technologies and methods are high. In the field of machining tools and control, this recent revolution in standards has led to a new and demanding era. The efficiency of the machine tool is affected by disturbance such as friction force and cutting force. The design goals of the project are to explore a new control technique to help compensate for the consequences of the cutting force and positioning precision of the XY table ball-screw drive system. A different technique which implemented and studied the cutting force effects on the machining process has been explored. This project proposes a Fuzzy PID controller to get a better tracking performance of the machine tools application as an intelligent PID controller. The PID controller mixed with the fuzzy controller develops Fuzzy PID relying on CNC machine tool system mathematical model. This proposed controller is analyses by simulation. To control the ball-screw system, the controller is implemented and has gained a better result. The system identification and modelling for obtaining the frequency function response (FRF) and the system transfer function performed at the same time with cutting force identification. The tracking performance of the system will be compared with three types of the controller which is PID controller, Fuzzy Adaptive PID controller and NPID controller. The performance of the controller will be compared according to the performance of tracking error and root means square error (RMSE). This report demonstrates that the combination of the PID controller and Fuzzy inference can increase the racking performance of the machine tools. The result of this project showed the improvement of 85.69% without additional filter and 90.47% with the additional filter in term of RMSE value when compared to the NPID controller. However, the improvement of the machine tools performance needs to study in the view of other compensation such as friction compensation and also the further study regarding these proposed controllers to get more accuracy and good tracking performance.

Actions (login required)

View Item