A proposed framework for fine-tuning/training a fuzzy controller

Abstract

This paper proposes a user-friendly methodology to fine-tune a fuzzy controller that was initially designed for an Electrical Power Steering (EPS) system. The suggested methodology takes on board and integrates existing approaches for training fuzzy controllers while incorporating a novel approach into optimizing the solution. While the mathematics involved are transparent to the user, the proposed methodology provides full visibility and control over the features being modified. Such an approach ensures that the automated training of the controller does not unintentionally override or inadvertently modify behaviours without the "approval" of the designer. Furthermore, the final version of the product remains easy to understand, which is an important consideration, if changes are needed at a later date.