PID Control of Main Steam Temperature Used Quantum Particle Swarm Optimization

摘要

The main steam temperature is always an important indicator of the boiler operation quality,high or low will affect the quality of boiler operation.At first,introduce a algorithm PSO,which can used to optimize the PID parameters of a main steam temperature control system.Then,improved the PSO,and studied a kind of improved panicle swarm algorithm—quantum apply quantum-behaved particle swarm optimization (QPSO).And this algorithm is used to optimize the PID parameters of a main steam temperature control system,got the best parameters.In the end,simulation result shows that,compared with basic particle swarm optimization (PSO),QPSO can make main steam temperature control system has a better control of quality,and improves the system of static and dynamic characteristics.