Affiliation:
1. VŠB - Technical University Ostrava
Abstract
Many scientific papers deals with the usage of fuzzy rules to implement PID control. Fuzzy models, especially the Takagi-Sugeno-type, have received significant attention from various fields of interest. It is very often very difficult to determine all the parameters of the Takagi-Sugeno-type controller. In this paper we present optimization of Takagi-Sugeno-type fuzzy regulator parameters by genetic algorithm. Implementation of universal fuzzy P/PS/PD function block implemented to the PLC Simatic S7 300/400 is introduced. Mamdani model is used as comparative model. Parameters of Takagi-Sugeno-type fuzzy regulator are determined by genetic algorithm optimization from comparative regulation surface.
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. Wang, W., Han-Xiong Li, Zhang, J.: Intelligence-Based Hybrid Control for Power Plant Boiler of a MIMO Robot Arm. IEEE Transaction on Fuzzy Systems, Vol. 10, No. 2, March (2002).
2. Aydogmus, Z.: Implementation of a fuzzy-based level control using SCADA. In Expert Systems with Applications. Volume 36, Issue 3 Part 2, April 2009, Pages 6593-6597. ISSN: 09574174.
3. Behalek, K. Analýzavlastnostíregulačních fuzzy modelů Takagi-Sugeno. Diploma thesis 2004. VSB-TU Ostrava.
4. Karr, C. L. Design of an Adaptive Fuzzy Logic Controller Using a Genetic Algorithm. In R. K. Belew& L. B. Booker (Eds. ), Proceedings of the Fourth International Conference on Genetic Algorithms (pp.450-457). 1991. Morgan Kaufmann.
5. TeoLianSeng; Bin Khalid, M.; Yusof, R. Tuning of a neuro-fuzzy controller by genetic algorithm. In Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on. 1999, Vol. 2, pp.226-236. ISSN: 1083-4419.