multiobjective genetic algorithm

In modern aircrafts, control allocation is one of the effective methods for executing specific maneuvers, time or energy reduction for determined operation, and compensating of actuators faults. For this purpose, the aircraft should be over-actuated in various channels. In this situation, control allocation means the distribution or division of the required control signals between aerodynamic surfaces (aerodynamic actuators) and the thrust vector control (TVC) system. Among the different approaches for control allocation, the use of methods based on soft computing is of interest. Therefore, the main goal of this article is utilization of fuzzy logic and multi-objective optimization to allocate control signals for the landing phase of the F/A-18 aircraft in the presence of elevator and TVC actuators. Therefore, flight modeling and simulation of aircraft has been done and by defining suitable fuzzy rules and specific objective functions, the ability of the developed allocation approach to converge the output variables to the expected values is demonstrated and finally, the aircraft completes the landing phase with desired accuracy and optimal control effort.