An adaptive control system modelled as finite state machine

This paper presents an adaptive control system based on several different control algorithms. The basic idea is to detect several events of the current variations of the controller error variable, to adjust the parameters of a conventional controller. The adaptive control system uses a state and event driven adaptation strategy. The second aspect of this paper outlines a systematic approach to develop, implement and describe adaptive control systems taking into consideration the demands of real time systems. In this case, state graphs and Petrinets are used as appropriate tools for graphical representation of the adaptive control strategy and the total system. The state graphs describe a finite state machine which can be performed by means of a special digital control loop. The architecture of this digital control loop is a hierarchical control structure, subdivided into an operating block and a supervisor.

[1]  Karl-Erik Årzén,et al.  Expert control , 1986, at - Automatisierungstechnik.

[2]  Donald A. Waterman,et al.  A Guide to Expert Systems , 1986 .

[3]  Siegfried Wendt,et al.  Nichtphysikalische Grundlagen der Informationstechnik : interpretierte Formalismen , 1991 .

[4]  K. L. Anderson,et al.  A rule-based adaptive PID controller , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

[5]  Karl Johan Åström,et al.  Theory and Applications of Adaptive Control , 1981 .

[6]  Alex Goodall,et al.  The guide to expert systems , 1985 .

[7]  M. Klein.  Adaptive Mehrgrössensysteme: Grundprobleme und Lösungsansätze , 1990 .

[8]  Karl-Erik Arzen,et al.  Use of Expert Systems in Closed Loop Feedback Control , 1986, 1986 American Control Conference.

[9]  Karl-Erik Arzen,et al.  Knowledge-based control systems - aspects on the unification of conventional control systems and knowledge-based systems , 1989, 1989 American Control Conference.

[10]  Karl Johan Åström,et al.  Theory and applications of adaptive control - A survey , 1983, Autom..

[11]  D. Willaeys,et al.  Towards the development of a real-time expert system for process control , 1986, 1986 25th IEEE Conference on Decision and Control.

[12]  J. R. James,et al.  A survey of some implementations of knowledge-based systems for real-time control , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

[13]  Henk B. Verbruggen,et al.  Knowledge-based control , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

[14]  James Taylor,et al.  Rule-based real-time control systems , 1987, 26th IEEE Conference on Decision and Control.

[15]  Karl-Erik Årzén.  Knowledge-Based Real-Time Control Systems , 1989 .

[16]  James H. Taylor,et al.  Rule-based real-time implementation of nonlinear self-synthesizing control systems , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

[17]  R. King,et al.  Rule-based systems in the process industry , 1986, 1986 25th IEEE Conference on Decision and Control.