Multi-object Control Allocation Based On PSO For Multi-effectors Aircraft

The most effective way to solve the control redundancy in the Multi-effectors Aircraft is controlallocation. It can resolve the integrated distribution and coordinated operaton reasonably andeffectively. In recent years, the theory of control allocation has been developed very quickly and therehave been considerable amounts of researches.In this paper, control allocation based on the Particle swarm optimization algorithm (PSO) isproposed. Also the research of the fault system’s reconfigurable control and Multi-object controlallocation are studied. The main content of the present scientific dissertation can be outlined asfollows:1. As the PSO is easy to fall into the local optimal, the improvement of the inertia weight in thePSO is studied. The improved algorithm is anaysised in theory and the simulation examples arepreformed to show the validity and superiority about the improved algorithm.2. Based on the LQR optimal control theory designing the control law, which is the upperstructure of the control allocation. The stability of the control law needs to verify the stability throughthe mathematical theory and the simulation.3. Control allocation based on the Particle swarm optimization algorithm is studied, choosing theproper fitness value as the goal of the optimization, so that resolves the control allocation.Reconfigurable control also studied based on the novel control allocation, the mathematical of thereconstruction model is established and solves the problem of Reconfigurable control based on PSO.The simulation examples are preformed to show the effectiveness of the Control allocation and theReconfigurable control.4. The control allocation of multi-object is studied. Two strategies are proposed: one is throughthe linear weighted method to make the multi-object became single object which sovles themulti-object control allocation. The other is to adjust the PSO so that can optimist two objects at thesame time. The simulation examples are preformed to show the effectiveness of the proposedapproaches.