Particle Swarm Optimization of PIλDμ Control of Heating Furnace Temperature Control System

Autor: Lian Zhang, Xiao Ping Zong, Pei Guang Wang
Rok vydání: 2014
Předmět:
Zdroj: Applied Mechanics and Materials. 721:205-209
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.721.205
Popis: Due to the complexity of the heat transfer for heating furnace, some characteristics are caused such as big inertia, great lag. In the temperature control system for heating furnace, the traditional PID controller can not get satisfactory effect, that dynamic is instability and control accuracy is bad, which is very detrimental to the system to achieve optimum efficiency. A fractional order PIλDμ controller based on particle swarm optimization method was designed, at the same time compared with PID control. Simulation results show that, fractional order PIλDμ control based on particle swarm optimization has better convergence stability, faster response times and higher accuracy value. Fractional order PIλDμ controller has better dynamic performance, compared with traditional PID controller, greatly improves the quality control system.
Databáze: OpenAIRE