Rule-Based Fuzzy Logic Controller with Adaptable Reference
This paper attempts to model and design a simple
fuzzy logic controller with Variable Reference. The Variable
Reference (VR) is featured as an adaptability element which is
obtained from two known variables – desired system-input and actual
system-output. A simple fuzzy rule-based technique is simulated to
show how the actual system-input is gradually tuned in to a value
that closely matches the desired input. The designed controller is
implemented and verified on a simple heater which is controlled by
PIC Microcontroller harnessed by a code developed in embedded C.
The output response of the PIC-controlled heater is analyzed and
compared to the performances by conventional fuzzy logic
controllers. The novelty of this work lies in the fact that it gives
better performance by using less number of rules compared to
conventional fuzzy logic controllers.
[1] L.A. Zadeh, "Fuzzy Sets," Information and Control, June 1965, pp. 338-
353 8, p.p. 338-353, 1965.
[2] D.E. Miller, E.J Davison, An Adaptive Controller which Provides an
Arbitrarily Good Transient and Steady-state response, IEEE Trans.
Automat. Contr., vol. 36, no. 1, pp. 68-81, Jan. 1991.
[3] Tang Kai Yin, C. S. George Lee, Fuzzy Model-Reference Adaptive
Control, IEEE Transactions on Systems, Man, and Cybernetics, vol. 25,
no. 12, December 1995.
[4] Han-Xiong Li, Senior Member, IEEE, Lei Zhang, Kai-Yuan Cai, and
Guanrong Chen, Fellow, IEEE, "An Improved Robust Fuzzy-PID
Controller With Optimal Fuzzy Reasoning," IEEE Transactions on
Systems, Man, and CyberneticsÔÇöPART B: Cybernetics, vol. 35, no. 6,
Dec. 2005, pp. 1283-1294
[5] Bao-Gang Hu, Senior Member, IEEE, George K. I. Mann, and Raymond
G. Gosine, "A Systematic Study of Fuzzy PID ControllersÔÇöFunction-
Based Evaluation Approach," IEEE Transactions on Fuzzy Systems, vol.
9, NO. 5, 2001
[6] Leehter Yao and Chin-Chin Lin, "Design of Gain Scheduled Fuzzy PID
Controller," International Conference on Computational Intelligence,
2004, pp. 432-436
[1] L.A. Zadeh, "Fuzzy Sets," Information and Control, June 1965, pp. 338-
353 8, p.p. 338-353, 1965.
[2] D.E. Miller, E.J Davison, An Adaptive Controller which Provides an
Arbitrarily Good Transient and Steady-state response, IEEE Trans.
Automat. Contr., vol. 36, no. 1, pp. 68-81, Jan. 1991.
[3] Tang Kai Yin, C. S. George Lee, Fuzzy Model-Reference Adaptive
Control, IEEE Transactions on Systems, Man, and Cybernetics, vol. 25,
no. 12, December 1995.
[4] Han-Xiong Li, Senior Member, IEEE, Lei Zhang, Kai-Yuan Cai, and
Guanrong Chen, Fellow, IEEE, "An Improved Robust Fuzzy-PID
Controller With Optimal Fuzzy Reasoning," IEEE Transactions on
Systems, Man, and CyberneticsÔÇöPART B: Cybernetics, vol. 35, no. 6,
Dec. 2005, pp. 1283-1294
[5] Bao-Gang Hu, Senior Member, IEEE, George K. I. Mann, and Raymond
G. Gosine, "A Systematic Study of Fuzzy PID ControllersÔÇöFunction-
Based Evaluation Approach," IEEE Transactions on Fuzzy Systems, vol.
9, NO. 5, 2001
[6] Leehter Yao and Chin-Chin Lin, "Design of Gain Scheduled Fuzzy PID
Controller," International Conference on Computational Intelligence,
2004, pp. 432-436
@article{"International Journal of Information, Control and Computer Sciences:50850", author = "Sheroz Khan and I. Adam and A. H. M. Zahirul Alam and Mohd Rafiqul Islam and Othman O. Khalifa", title = "Rule-Based Fuzzy Logic Controller with Adaptable Reference", abstract = "This paper attempts to model and design a simple
fuzzy logic controller with Variable Reference. The Variable
Reference (VR) is featured as an adaptability element which is
obtained from two known variables – desired system-input and actual
system-output. A simple fuzzy rule-based technique is simulated to
show how the actual system-input is gradually tuned in to a value
that closely matches the desired input. The designed controller is
implemented and verified on a simple heater which is controlled by
PIC Microcontroller harnessed by a code developed in embedded C.
The output response of the PIC-controlled heater is analyzed and
compared to the performances by conventional fuzzy logic
controllers. The novelty of this work lies in the fact that it gives
better performance by using less number of rules compared to
conventional fuzzy logic controllers.", keywords = "Fuzzy logic controller, Variable reference,
Adaptability, Rule-based.", volume = "1", number = "11", pages = "3403-5", }