Taguchi-genetic-algorithm in helicopter H control design with robust flying quality

Chi Chung Luo, Ciann Dong Yang, Gong Chen, Yeong Hwa Chang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


The purpose of this paper is to design an optimal linear H helicopter control system via Taguchi-genetic-algorithm (TGA) to improve its stability and performance. Firstly, the nonlinear mathematical model of Lynx, an England Westland helicopter, is established from the nonlinear six degree-of-freedom dynamic equations. Secondly, the linear H feedback control law is applied to design a linear H controller, which is then integrated into the nonlinear helicopter model to simulate dynamic responses. Thirdly, Taguchi experimental method is served as a rough searching tool for the best genetic parameters in genetic algorithm (GA), which includes population size, crossover rate, mutation rate and the remaining size of parent. Meanwhile, GA is served as a fine searching tool for the weighting functions of H controller. Two helicopter flying quality indices, quickness index and phase delay margin, are adopted to test the robustness of H controller. The results show that TGA-type linear H controller can maintain the flight specifications in the level-1 standard, while the forward velocity of helicopter is changing.

Original languageEnglish
Pages (from-to)9-20
Number of pages12
JournalZhongguo Hangkong Taikong Xuehui Huikan/Transactions of the Aeronautical and Astronautical Society of the Republic of China
Issue number1
Publication statusPublished - 2005 Mar 1

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering


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