Abstract
Genetic algorithms (GAs) are well known in most kinds of numerical methods and are widely applied in different areas of optimal studies. It is found that if the search space is wide or the fitness function that we select has high degree of nonlinear, the GA solutions could strongly depend on the setting parameters which include population size crossover rate mutation rate and the remaining size of parent in GAs. This paper applies Taguchi methods to GAs to find the best combination of the setting parameters for different flight control problems. The purpose of such a combination is to make the control more robust and close to optimal solution. To demonstrate this new idea, we consider its applications to different flight control problems for F16 fighter by using auto-stabilization LQR and H∞ design. The simulation results not only achieve the expected optimal design for flight control problems but also justify the reliability and feasibility of the proposed method.
Original language | English |
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Pages (from-to) | 223-236 |
Number of pages | 14 |
Journal | Transactions of the Aeronautical and Astronautical Society of the Republic of China |
Volume | 32 |
Issue number | 3 |
Publication status | Published - 2000 Sept |
All Science Journal Classification (ASJC) codes
- Aerospace Engineering