Ziegler-Nichols Based Intelligent Fuzzy PID Controller Design of a SPM System with Parameters Variation

2011 ◽  
Vol 201-203 ◽  
pp. 2113-2118 ◽  
Author(s):  
Jium Ming Lin ◽  
Po Kuang Chang

This research is to extend Ziegler-Nichols based PID controller design method to the intelligent fuzzy PID controller design of a Scanning Probe Microscope (SPM) system, thus the relative stability can be reserved. In addition, one can see the hysteresis and parameters variation effects of the force actuator can be reduced. This improvement had been verified by practical implementation. Comparing the results with the design with the Ziegler-Nichols based PID controller, one can see that the proposed system is more robust.

2012 ◽  
Vol 531-532 ◽  
pp. 726-731
Author(s):  
Yue Hua Xiong ◽  
Chun Liang Zhang ◽  
Bai Xiang Fu

This paper focus on designing a fuzzy PID controller design about the vapor pressure of the EPE foaming machine parameters, and raise a self-tuning method of PID parameters, and use the fuzzy control toolbox of MATLAB to simulate its control system, which are compared with the simulation of conventional PID controller, the results show the design of fuzzy PID controller have high control precision, small overshoot, good dynamic performance characteristics.


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