Research on Nonlinear Predictive Control Rolling Optimization Strategy Based on SAPSO

Abstract

The problem in neural network model based nonlinear systems predictive control the predictive control law is difficult to get, this paper proposed using simulated annealing particle swarm optimization algorithm (SAPSO) to optimize the solution. Compared particle swarm optimization (PSO) algorithm with SAPSO algorithm in the performance of simulation, using SAPSO algorithm optimized neural network predictive control, simulation results show that the method can effectively reduce the number of iterations and improve convergence accuracy.