PID Neural Network Control Algorithms Based on QPSO and Its Simulation

PID neural network (PIDNN) control algorithm is suitable for the decoupling control of nonlinear multivariable coupled system, because of its better dynamic and steady performance, and stronger decoupling and disturbanceattenuate ability. By updating weights via Quantum Particle Swarm Optimization(QPSO), this paper further proposes a multivariable PID neural network control algorithm. The simulation results show that the present algorithm can attain better decoupling control effect and stronger disturbanceattenuate ability.