Evolutionary Computing Based Modular Control Design for Aircraft with Redundant Effectors

In this paper, we present a genetic algorithm based modular reconfigurable control strategy for an over-actuated ADMIRE nonlinear aircraft system. The control law was based on multi-input multi-output (MIMO) linear quadratic regulator (LQR) strategy to produce virtual command signals. A pseudo-inverse based allocation method was used for effective distribution of commands produced by controller to redundant control surfaces in normal and fault condition. Actuator position limits can be considered for reconfiguration of virtual command signals. Simulation results show that satisfactory and improved performance even in fault scenario can be achieved quickly by using natural evolution based optimization technique in modular control design.