A New Efficient Self-Organising Fuzzy Logic Control (SOFLC) Algorithm using a Dynamic Performance Index (PI) Table
| Authors: | Mahfouf Mahdi, The University of Sheffield, United Kingdom
Lu Qing, The University of Sheffield, United Kingdom |
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| Topic: | 3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.) |
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| Session: | Genetic and Evolutionary Algorithms |
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| Keywords: | Fuzzy logic, self-organising, uncertainty, non-linear, performance, optimisation. |
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Abstract
In this paper we propose a new SOFLC architecture whereby the PI table is ‘dynamic’, of a free structure, and starting from an empty table. The architecture includes 3 mechanisms for optimising the rules of the PI table and enhancing the performance as well as the robustness of the algorithm in terms of disturbance rejection and noise. Results of experiments on a non-linear muscle relaxation process showed that the proposed control scheme was superior to the standard SOFLC algorithm in terms of performance and robustness against parameter variations, stochastic activity, and sensitivity to the selection of scaling factors.
