The Application of NGA Based on Referenced Model in Optimization of FCAS

As the rapid development of modern aircraft, control allocation technique is involved to the design of the plane. The allocator design becomes one of the most important parts of the flight control allocation system (FCAS) design, which makes the system more complicated. Allocator is strongly coupled with the controller, and the allocator parameters affects ones of the controller. In order to design the AFCS that has good quality, the allocator and controller must be designed together to get the system with desired performance. This is an optimizing problem. So the Niche genetic algorithm (NGA) based on referenced model is proposed to optimize the parameters of the allocator and controller. The algorithm efficiently optimizes the FCAS, and makes the system have the minimum signal tracking errors. Simulation results show that the performance of the system is satisfied.