首页> 外文会议>2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)论文集 >MAIN STEAM TEMPERATURE COMPOSITE CONTROL SYSTEM BASED ON VARIABLE UNIVERSE FUZZY LOGIC CONTROL INTEGRATED WITH IMMUNE AND SELF-TUNING PID CONTROLLER
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MAIN STEAM TEMPERATURE COMPOSITE CONTROL SYSTEM BASED ON VARIABLE UNIVERSE FUZZY LOGIC CONTROL INTEGRATED WITH IMMUNE AND SELF-TUNING PID CONTROLLER

机译:基于集成有免疫和自整定PID控制器的可变通用模糊逻辑控制的主汽温度复合控制系统

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The main steam temperature control system is necessary to ensure high efficiency and high load-following capability in the operation of modern power plant, which has the characteristics of large inertia, large time-delay and time-varying, etc. Thus conventional PID control strategy cannot achieve good control performance. Prompted by the feedback regulation mechanism of biology immune response and the variable universe fuzzy logic control, a composite control strategy based on variable universe fuzzy logic control integrated with immune and self-tuning PID control is presented in this paper. It has stronger robustness and better self-adaptive ability, which can be adaptive to the change in the parameters of the controlled plant. A simulation study of the main steam temperature control system shows that this control strategy is effective, practicable and superior to conventional PID control.
机译:为了保证现代电厂运行中的高效率和高负荷跟随能力,必须使用主蒸汽温度控制系统,该系统具有惯性大,时滞大,时变等特点。因此,传统的PID控制策略无法获得良好的控制性能。在生物免疫反应的反馈调节机制和变论域模糊逻辑控制的提示下,提出了一种基于变论域模糊逻辑控制与免疫和自整定PID控制相结合的复合控制策略。它具有更强的鲁棒性和更好的自适应能力,可以适应受控植物参数的变化。对主蒸汽温度控制系统的仿真研究表明,该控制策略是有效,可行和优于常规PID控制的。

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