A neuro-genetic controller for nonminimum phase systems

Author

Park, Sangbong ; Park, Lae-Jeong ; Park, Cheol Hoon

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea

Volume

6

Issue

5

fYear

1995

fDate

9/1/1995 12:00:00 AM

Firstpage

1297

Lastpage

1300

Abstract

This paper investigates a neurocontroller for nonminimum phase systems which is trained off-line with genetic algorithm (GA) and is combined in parallel with a conventional linear controller of proportional plus integral plus derivative (PID) type. Training of this kind of a neuro-genetic controller provides a solution under a given global evaluation function, which is devised based on the desired control performance during the whole training time interval. Empirical simulation results illustrate the efficacy of the proposed controller compared with a conventional linear controller in point of learning capability of adaptation and improvement of performances of a step response like fast settling time, small undershoot, and small overshoot

Keywords

genetic algorithms; intelligent control; learning (artificial intelligence); neurocontrollers; step response; three-term control; genetic algorithm; global evaluation function; learning; linear PID control; neuro-genetic controller; neurocontroller; nonminimum phase systems; step response; Adaptive control; Backpropagation; Control systems; Genetic algorithms; Neural networks; Nonlinear control systems; PD control; Pi control; Proportional control; Three-term control;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/72.410379

Filename

410379