Indonesian Journal of Electrical Engineering and Computer Science
Vol 11, No 6: June 2013

The Optimization of Lateral Control Augmentation Based on Genetic Algorithms

Liu Xiaoxiong (Northwestern Polytechnical University)
Wang Juan (Northwestern Polytechnical University)
Wu Yan (Xidian University)
Liu Yu (Northwestern Polytechnical University)



Article Info

Publish Date
01 Jun 2013

Abstract

The control augmentation systems are very important to keep the stability and manipulability in the flight control systems. The general flight control laws are designed by static designs and dynamic fits. To improve the adaptive capability, a new method of control laws design was introduced by using dynamic optimization genetic algorithms. The control parameters were adjusted online in the flight envelope. The dynamic optimization model was built for aircraft lateral control augmentation function. The control parameters were regulated by dynamic optimization genetic algorithms. Finally an example of a lateral flight control augmentation system of an aircraft is used with a simulation. The simulation results show the proposed method is achievement. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2601

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