Abstract
![CDATA[Fuzzy logic controllers (FLCs) are developed to exploit human expert knowledge in designing control systems. While the fuzzy rules are relatively easy to obtain, fuzzy membership function (MF) tuning could be a time consuming exercise. In this paper the particle swarm optimization technique is employed to automatically tune the MFs of a Mamdani-type of fuzzy controller. The effectiveness of the proposed controller is demonstrated by the control performance of such an FLC of a nonlinear water tank system. The results are compared favourably to a PSO tuned PID controller.]]
Original language | English |
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Title of host publication | Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application:PACIIA 2008, held in Wuhan, China, 19-20 December, 2008 |
Publisher | IEEE Computer Society |
Number of pages | 5 |
ISBN (Print) | 9780769534909 |
Publication status | Published - 2008 |
Event | Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Duration: 1 Jan 2008 → … |
Conference
Conference | Pacific-Asia Workshop on Computational Intelligence and Industrial Application |
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Period | 1/01/08 → … |
Keywords
- fuzzy logic
- nonlinear control theory
- Particle Swarm Optimization (PS0)
- control systems
- water tank systems