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.