Nonlinear control system of PID neural network based on cooperated particle swarm optimization(PSO)

The PID neural network(PIDNN) model is a novel neural network model with the advantages of PID and artificial neuron network. This model has been used for complex control systems to achieve desirable control performances. However, the conventional backward-propagation(BP)algorithm restrains the model's wide applications to control field. To control the nonlinear MIMO system efficiently and to extend the application range of PIDNN, we develop the MIMO PID neural network(MPIDNN) controller based on PIDNN, and propose the cooperated PSO(CPSO) algorithm to take the place of BP algorithm. Simulation results of the MPIDNN controllers based on BP, PSO and CRPSO algorithms indicate that CPSO-based MPIDNN controller is more effective than the other three in controlling the MIMO systems. The CPSO algorithm makes MPIDNN controller better in performances than BP algorithm in accuracy, stability and robustness.