Research on Temperature Control System Based on Fuzzy Particle Swarm PID Algorithm
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School of Information Science and Technology, Nantong University, Nantong 226000, China

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TP13

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    Abstract:

    For the temperature control system of the capacitor hot press, there are problems such as large lag and nonlinearity. The principle of the temperature control system of the capacitor hot press is analyzed and the mathematical model of the temperature control system is established. Through the research of traditional PID control algorithm, particle swarm algorithm and fuzzy control algorithm, a scheme of applying fuzzy particle swarm PID algorithm to temperature control system is proposed. Use MATLAB to simulate the temperature control system. The adjustment time and overshoot of the temperature control system using the traditional PID control algorithm are 66s and 58.173%, respectively. The temperature control system using the fuzzy particle swarm PID algorithm has an adjustment time and overshoot of 34s and 6.295%, respectively. The research results show that the temperature control system of the capacitor hot press based on the fuzzy particle swarm PID algorithm is superior to the traditional PID control algorithm in terms of adjustment time, overshoot and anti-interference ability.

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  • Online: April 11,2024
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