Research On Inverter Control And Application Based On Improved Whale Algorithm

Intelligent optimization algorithm has been widely used in the field of controller parameter tuning optimization.Among them,the emerging whale optimization algorithm(WOA)has attracted extensive attention due to its simple structure,few parameters and strong search ability.However,due to the short time of WOA algorithm,its application research is still in the preliminary stage,and the algorithm itself has some shortcomings,such as low iteration accuracy,easy to fall into local optimization in the late iteration.In this paper,an improved whale optimization algorithm(lowoa)is proposed and applied to the tuning of inverter control parameters.The main research work of this paper is as follows1.Aiming at the shortcomings of the whale algorithm,which is difficult to improve the iterative accuracy and easy to fall into the local optimum,two improvements are proposed: introducing Levy flight strategy to replace the random search strategy of the algorithm itself;introducing elite reverse learning mechanism in the late stage of location update,focusing on improving the global search ability of the algorithm.2.The improved whale algorithm is applied to four different order PID control systems to adjust the control parameters,and compared with the traditional critical proportion method and particle swarm optimization(PSO)parameter setting method.3.For the problem of inverter control parameter tuning,the improved whale optimization algorithm is used to tune the control parameters of off grid and grid connected single / three-phase inverter,and the results are compared with WOA algorithm and PSO algorithm.4.The digital power electronics experimental device based on xPC mode is built to verify the accuracy of the improved whale optimization algorithm in setting the control parameters of three-phase off grid and grid connected inverters.