Abstract
A multi-input/multi-output self-organizing fuzzy controller for multivariable cooperative control systems is presented. One developmental problem to be tackled is the interactive responses of the controlled variables when the controller is applied to a real multi-input/multi-output system. In the fuzzy controller described, linguistic decision rules which authers name “cooperative rules”, are utilized for regulating interactive responses of the controlled variables instead of a cross controller.
The analytical basis for the multi-input/multi-output self-organizing fuzzy controller is described using a modified scheme of model reference adaptive control systems. A detailed formulation is given regarding specific response evaluation and rule modification in the cooperative rule learning process of the controller. The schematic model presented here includes the former model for a single-input/single-output controller, which is a general extension of the self-organizing fuzzy controller from a scalar system to multivariable systems.
Control simulations of a BWR plant and an HTGR (experimental reactor) plant are presented showing the performance of this fuzzy controller. Results show the cooperative rules are effective for improving the control performance of multivariable systems.
