Algorithm of constrained generalized predictive control based on PSO-SA

An algorithm of constrained generalized predictive control was proposed based on particle swarm optimization(PSO) and simulated annealing(SA).PSO and SA were used for iterative optimization to enhance the search capabilities for constraint boundary. Meanwhile, a violation function was constructed by constraints. This function and fitness function determined the optimal solution better or not. Constraint handling performance of GPC can be effectively improved by this algorithm. Its feasibility and effectiveness were verified via simulation study for an industrial object.