Affiliation:
1. National Taiwan Ocean University
Abstract
Real time intelligent control scheme that utilizes neural network to perform PID controller to control a twin rotor system is proposed. An experimental propeller setup called the twin rotor multi-input multi-output system (TRMS) is used in this study. The use of single neuron in PID control reduces system computing time that makes on-line learning and real time control feasible. The proposed control scheme can drive the TRMS to follow desired attitudes. The pitch angle and the azimuth angle in the condition of cross-coupled between vertical and horizontal axes is considered. Furthermore, the control scheme can overcome external disturbance. Simulation results show that the new approach can improve attitude tracking performance and the neural network-PID controller can work in real time.
Publisher
Trans Tech Publications, Ltd.
Reference20 articles.
1. D.W. Tank and J.J. Hopfield: Simple Neural, Optimization Networks: An A/D Converter, Signal Decision Circuit, and a Linear Programming Circuit (IEEE Trans. Circuits Syst., vol. CAS-33, pp.533-541, 1986).
2. E.H. Mandani: Application of Fuzzy Algorithms for Control of Simple Dynamic Plant (Proc. Inst. Elect. Eng. Contr. Sci., vol. 121, pp.1585-1588, 1974).
3. K.F. Man, K.S. Tang, and S. Kwong: Genetic Algorithms (Springer, 1999).
4. S. Haykin: Neural Networks: A Comprehensive Foundation (Prentice Hall, 1999).
5. W.K. Liu, J.H. Fan, and J.G. Juang: Application of Genetic Algorithm Base on System Performance Index on PID Controller (Proc. of the Ninth Conference on Artificial Intelligence and Application, 2004).
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