Affiliation:
1. Academia Sinica Centre for Space Science and Applied Research Beijing, Peoples Republic of China
Abstract
This paper presents an unconventional approach to design of an adaptive digital PID (proportional integral derivative) controller for multivariable plants, which includes two parts: a fast online recursive identifier to provide updated model parameters of the plant and a genetic tuner, which is based on artificial genetic algorithms, to tune on-line the parameter matrices of the controller. An example is presented to show the effectiveness of the approach.
Subject
Mechanical Engineering,Control and Systems Engineering