A model-free self-organizing fuzzy logic control system using a dynamic performance index table

Author:

Qing Lu 1,Mahfouf Mahdi2

Affiliation:

1. Research Centre for Learning Science, Southeast University, Nanjing, 210096, China, , Department of Automatic Control and Systems Engineering, The University of Sheffield S1 3JD, UK

2. Department of Automatic Control and Systems Engineering, The University of Sheffield S1 3JD, UK

Abstract

The ‘raison d’être’ of self-organizing fuzzy logic control (SOFLC) algorithms is the performance index table, which normally issues the adequate corrections to the low-level control given certain performance criteria. In the standard SOFLC architecture, the performance index table is generic, fixed a priori and is of a ‘grid-partition’ structure making the whole scheme inefficient in terms of computational complexity and performance. In this paper, we propose a new model-free SOFLC architecture whereby the performance index table is ‘dynamic’, of free structure and starting from an empty table. The new proposed architecture includes the required mechanisms to ensure self-organization such as those associated with the individual evaluation via an online genetic algorithm (GA) and the fine-tuning of individual regeneration range for micro-GAs, to optimize the rules of the performance index table and enhance the system’s performance. Results of experiments on a non-linear muscle relaxation process show that the proposed control scheme is superior to the standard SOFLC algorithm in terms of performance and robustness against the system input/output scaling factors selection and parameter variations.

Publisher

SAGE Publications

Subject

Instrumentation

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