| 锅炉除氧系统自适应遗传PID控制 |
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| 引用本文： | 张欣宇,王文兰,白雄怀. 锅炉除氧系统自适应遗传PID控制[J]. 锅炉制造, 2009, 0(6): 13-14,19 |
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| 作者姓名： | 张欣宇 王文兰 白雄怀 |
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| 作者单位： | 内蒙古工业大学,电力学院,内蒙古,呼和浩特,010080;内蒙古能源发电投资有限公司电力工程技术研究院,内蒙古,呼和浩特,010020 |
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| 摘 要： | 遗传算法全局寻优参数，但训练时间较长；PID控制算法简单，却难以控制非线性复杂过程。将自适应遗传算法和PID相结合，可以有效地改善控制效果。通过除氧器数学模型，设计基于遗传算法的自适应PID控制器，通过在线整定控制器参数，提高除氧系统的控制性能。仿真结果表明该算法的控制效果良好，适应能力较强，具有算法简单、参数整定容易等优点。
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| 关 键 词： | 遗传算法 自适应控制 除氧器 |
Adaptive Genetic PID Algorithm of Boiler Deaerator System |
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| Zhang Xinyu,Wang Wenlan,Bai Xionghuai. Adaptive Genetic PID Algorithm of Boiler Deaerator System[J]. Boiler Manufacturing, 2009, 0(6): 13-14,19 |
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| Authors: | Zhang Xinyu Wang Wenlan Bai Xionghuai |
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| Affiliation: | Zhang Xinyu1,Wang Wenlan1,Bai Xionghuai2 (1.Electric power college,Inner Mongolia Polytechnic University,hohhot 010080,China,2.Electric power engineering Research Institute,hohhot 010020,China) |
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| Abstract: | Genetic algorithm is a global optimization technique,while training parameters is a long time process.PID algorithm is simple,but it is difficult to control nonlinear complex systems.It could improve the control performance effectively by combining genetic algorithm with PID algorithm.Via the foundation of the deaerator model,an online adaptive PID controller based on genetic algorithm is designed for the deaerator system to improve the control performance.Emulate results show the good control performance o... |
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| Keywords: | genetic algorithm adaptive control deaerator |
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