A PID-Knowledge-Based System for Nonlinear Process Control

Article type: Research Article

Authors: Lim, S.Y. | Chatwin, C.R.^{; *}

Affiliations: Department of Mechanical Engineering, University of Glasgow, Glasgow, G12 8QQ, Scotland, United Kingdom

Correspondence: [*] Author to whom all correspondence should be addressed.

Abstract: An object-orientated knowledge-based management system (KBMS) architecture based on the concept of proportional-integral-differential (PID) control with self-learning capabilities is proposed for the high level control of complex systems. The architecture comprises: an enhanced KBS with tight coupling to a deductive database which allows both bottom-up and breadthwise search strategies to be implemented in an optimal combination. This management system selects both the set-point and the independently controllable variables; the independent variables can then be modified by an inductive process. The resultant system utilises experimental data for the tasking and control of a CO2 laser manufacturing system.

DOI: 10.3233/ICA-1995-2404

Journal: Integrated Computer-Aided Engineering, vol. 2, no. 4, pp. 291-298, 1995