Title :
Intelligent control toolkit for the ConnoisseurTM advanced control package
Author :
Woolley, I. ; Kambhampati, C. ; Sandoz, D. ; Warwick, K.
Author_Institution :
Predictive Control Ltd., UK
Abstract :
The modelling and control of systems with linear mathematics is a well established field. However, for applications in the real world, the development of nonlinear modelling and control techniques continues. Following the successful integration of a nonlinear modelling capability, using neural networks, into the ConnoisseurTM advanced control package, this paper describes the development and integration of a genetic algorithm (GA) based nonlinear controller. The control problem is outlined, an overview of genetic algorithms is given, and the use of a genetic algorithm as a controller is explained. Example results are shown, with comments about the various factors that affect the performance of the controller, and the practical implementation of the controller
Keywords :
intelligent control; Connoisseur advanced control package; control techniques; genetic algorithm based nonlinear controller; intelligent control toolkit; linear mathematics; neural networks; nonlinear modelling; nonlinear modelling capability;
Conference_Titel :
Factory 2000 - The Technology Exploitation Process, Fifth International Conference on (Conf. Publ. No. 435)
Conference_Location :
Cambridge
Print_ISBN :
0-85296-682-2
DOI :
10.1049/cp:19970159