A Design of PID Controllers Using a Genetic Algorithm.

概要

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PID control schemes have been widely used in most of process control systems represented by chemical processes for a long time. However, it is still a very important problem how to determine or tune the PID parameters, because these parameters have a great influence on the stability and the performance of the control system. On the other hand, in the last twenty years, a genetic algorithm (GA) is attracted as one method which gives us optimal answers for search, optimization and machine learning problems.In this paper, we propose a new genetic tuning algorithm of PID parameters, in which the search area of PID parameters is reduced sharply by considering an effective parameters' area from the viewpoint of the control engineering. First, we explain the tuning method of PID parameters briefly. Next, by using the GA, we present a scheme to find optimum values of user-specified parameters included in this method. Finally, we illustrate a simulation example to show the effectiveness of the proposed scheme and consider the statistical properties.
公益社団法人計測自動制御学会の論文