Sliding mode variable structure optimized control for micro-air-vehicle attitude control systems

Micro-Air-Vehicle (MAV) is small and light. So it is very easily affected by action of various disturbing and disturbing torque. The MAV is also nonlinear and variable coefficient, pure delay, inertia, cross-coupling etc. These characteristics make the control of the aircraft get more complicated. This thesis takes advantage of the characteristic of Genetic Algorithm (GA) optimization control, combined with the characteristic of the sliding mode variable structure method to realize the MAV attitude control according to the adaption of the system disturbing and system perturbation. Simulation results show that the MAV attitude control scheme is robust and has good tracking performance.