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http://dx.doi.org/10.5139/JKSAS.2003.31.7.075

Optimum Design of Neural Networks for Flight Control System  

Choe,Gyu-Ho (서울대학교 항공우주공학과 대학원)
Choe,Dong-Uk (서울대학교 항공우주공학과 대학원)
Kim,Yu-Dan (서울대학교 항공우주공학과)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.31, no.7, 2003 , pp. 75-84 More about this Journal
Abstract
To reduce the effects of the uncertainties due to the modeling error and aerodynamic coefficients, a nonlinear adaptive control system based on neural networks is proposed . Neural networks parameters are adjusted by using an adaptive law. The sliding mode control scheme is used to compensate for the effect of the approximation error of neural networks. Control parameters and neural networks structures are optimized to obtain better performance by using the genetic algorithm. By introducing the concept of multi-groups of populations, the genetic algorithm is modified so that individuals and groups can be simultaneously evolved . To verify the performance of the pro posed algorithm, the optimized neural networks control system is applied to an aircraft longitudinal dynamics.
Keywords
neural networks; flight control; gentic algorithm; sliding mode controller;
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  • Reference
1 V. Maniezzo, "Genetic Evolution of the Topology and Weight Distribution of Neural Networks," IEEE Transactions on Neural Networks, Vol. 5, Issue 1, 1994, pp. 39-53.   DOI   ScienceOn
2 X. Yao, and Y. Liu, "Ensemble Structure of Evolutionary Artificial Neural Networks," Proceedings of IEEE International Conference on Evolutionary Computation, Nagoya University, Japan, May 1996.
3 김수환, 권장혁, 김효태, "유전 알고리즘을 이용한 공력 및 RCS 익형 최적 설계," 한국항공우주학회지, 제29권, 제6호, 2001, pp. 1-8.
4 D. Whitley, and T. Hanson, "Optimizing Neural Networks Using Faster, More Accurate Genetic Search," Proceedings of 3rd International Conference on Genetic Algorithms, Edited by J. D. Schaffer, 1989.
5 J. R. Koza, and J. P. Rice, "Genetic Generation of Both the Weights and Architecture for a Neural Network," International Joint Conference on Neural Network(IJCNN), Vol. 2, Seattle, Australia, July, 1991.
6 R. Somakumar, and J. Chandrasekhar, "Neural Networks Based Nonlinear Inverse Dynamics for Flight Controller Design," Proceedings of the 1998 IEEE International Conference on Control Applications, Trieste, Italy, 1998.
7 S. Haykin, Neural Networks : A Comprehensive Foundation, New Jersey, Prentice Hall, 1999.
8 한재홍, 이인, "유전자 알고리즘을 이용한 압전 작동기 배치 최적화에 관한 연구," 한국항공우주학회지, 제25권, 제1호, 1997, pp. 71-81.
9 O. Barambones, and V. Etxebarria, "An Adaptive Neural Control Scheme for Mechanical Manipulators with Guaranteed Stability," 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, Monterey, California, November 1999.
10 K. S. Tang, C. Y. Chan, K. F. Man, and S. Kwong, "Genetic Structure for NN Topology and Weights Optimization," First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, University of Sheffield, UK, September 1995.
11 D. Dasgupta, and D. R. McGregor, "Designing Application-Specific Neural Networks Using The Structured Genetic Algorithm," International Workshop on Combinations of Genetic Algorithms and Neural Networks, Baltimore, Maryland, June 1992.
12 D. Whitley, and C. Bogart, "The Evolution of Connectivity, Pruning Neural Networks Using Genetic Algorithms," Proceedings of International Joint Conference on Neural Networks, San Diego, California, June 1990.
13 K. J. Hintz, and J. J. Spofford, "Evolving a Neural Network," Proceedings of the 5th IEEE International Symposium on Intelligent Control, Vol. 1, No. 37, 1990, pp. 479 -484.
14 B. S. Kim, and A. J. Calise, "Nonlinear Flight Control Using Neural Networks," Journal of Guidance, Control, and Dynamics, Vol. 20, No. 1, 1997, pp. 26-33.   DOI   ScienceOn
15 G. B. Sheble, and K. Britting, "Refined Genetic Algorithm Economic Dispatch Example," IEEE Transaction on Power Systems, Vol. 10, No.1, 1995, pp.117-124.   DOI   ScienceOn
16 E. F. M. Filho, and A. de Carvalho, "Evolutionary Design of MLP Neural Network Architectures," Proceedings of IV th Brazilian Symposium on Neural Networks, Goiania, Brazil, December 1997.