A non-parametric approach for design of intelligent control system

Author

Zhou, Mingshe ; Zein-Sabatto, Saleh ; Malkani, Mohan J.

Author_Institution

Dept. of Electr. & Comput. Eng., Tennessee State Univ., Nashville, TN, USA

fYear

1998

fDate

8-10 Mar 1998

Firstpage

167

Lastpage

171

Abstract

In this paper, a methodology using neural network and genetic algorithm for failure detection and smooth accommodation is presented. The main idea is to constantly monitor the system input and output to identify any off-nominal (failure) conditions using two levels of intelligence decision-making algorithm. The genetic algorithm is used to do online search for near-optimal coefficient values for combining two controllers (before and after failure) which provide smooth accommodation of the failure. Preliminary research findings showed that the proposed intelligent control system can detect and accommodate single failure modes and generate an appropriate control action for this mode. Simulation results, conducted on the control of an advanced model aircraft showed that this intelligent control system is able to maintain the stability of the system even in case of harsh failures in the dynamics of the airplane

Keywords

aircraft control; control system synthesis; fault location; genetic algorithms; intelligent control; neurocontrollers; search problems; stability; suboptimal control; advanced model aircraft; failure condition identification; failure detection; genetic algorithm; harsh dynamics failures; intelligent control system; intelligent decision-making algorithm; near-optimal coefficient values; neural network; nonparametric approach; off-nominal condition identification; online search; single failure modes; smooth accommodation; stability; system input monitoring; system output monitoring; Aerospace control; Aircraft; Airplanes; Condition monitoring; Control systems; Decision making; Genetic algorithms; Intelligent control; Neural networks; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1998. Proceedings of the Thirtieth Southeastern Symposium on

Conference_Location

Morgantown, WV

ISSN

0094-2898

Print_ISBN

0-7803-4547-9

Type

conf

DOI

10.1109/SSST.1998.660039

Filename

660039