System Identification of Thermal Process based on Chaos Particle Swarm Optimization Algorithm

A chaos particle swarm optimization algorithm (CPSO) is proposed in this article, it takes advantage of the characteristics of chaos optimization algorithm such as ergodicity, randomness etc. and improves the basic particle swarm optimization algorithm, its particle action is based upon average local best position and the global best point, what's more, an integral control unit is added into the algorithm's update formula. While it has been proved that this algorithm possesses very good performance, we use this algorithm into identification of known model under step input and system identification of thermal process with known locale data, and the result proves that identification is satisfying, so this algorithm's validity is validated.