Particle Swarm Optimization of PI^λD^μ Control of Heating Furnace Temperature Control System

Abstract:

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 PI^λD^μ controller based on particle swarm optimization method was designed, at the same time compared with PID control. Simulation results show that, fractional order PI^λD^μ control based on particle swarm optimization has better convergence stability, faster response times and higher accuracy value. Fractional order PI^λD^μ controller has better dynamic performance, compared with traditional PID controller, greatly improves the quality control system.

• Periodical: Applied Mechanics and Materials (Volume 721)
• Pages: 205-209
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.721.205
• Online since: December 2014
• Authors: Pei Guang Wang, Lian Zhang, Xiao Ping Zong
• Keywords: Fractional Order PI^λD^μ Controller, Heating Furnace, Parameter Optimization, Particle Swarm Optimization (PSO), Temperature Control System

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DOI: 10.1109/81.817385

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