| 基于遗传算法的水轮机模糊自适应PID调节系统控制规则 |
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| 引用本文： | 南海鹏,辛华,余向阳. 基于遗传算法的水轮机模糊自适应PID调节系统控制规则[J]. 水电自动化与大坝监测, 2005, 29(2): 5-9 |
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| 作者姓名： | 南海鹏 辛华 余向阳 |
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| 作者单位： | 西安理工大学动力系,陕西省,西安市,710048 |
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| 摘 要： | 针对水轮机调节系统常规PID控制参数不能根据系统的动态过程自动调整控制参数的问题，结合遗传算法与模糊PID控制，用遗传算法优化模糊自适应PID控制的模糊规则，利用模糊推理的方法求解PID参数的变化量，对PID参数进行自动整定。同时针对遗传算法寻优生成的模糊规则存在跳变和规则曲面粗糙等缺陷，在目标函数中引入光滑因子，有效解决了模糊规则跳变现象。仿真表明，该方法是寻找水轮机调节系统模糊自适应PID控制规则的一种可行方法。
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| 关 键 词： | 水轮机调节系统 遗传算法 模糊控制 PID控制 光滑因子 |
| 收稿时间： | 1900-01-01 |
| 修稿时间： | 1900-01-01 |
Rules for Control of Self-adapting PID Water Turbine Governing System Based on Genetic Algorithms |
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| NAN Hai-peng,XIN Hua,YU Xiang-yang. Rules for Control of Self-adapting PID Water Turbine Governing System Based on Genetic Algorithms[J]. HYDROPOWER AUTOMATION AND DAM MONITORING, 2005, 29(2): 5-9 |
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| Authors: | NAN Hai-peng XIN Hua YU Xiang-yang |
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| Abstract: | In order to overcome the shortcoming of the general hydraulic turbine PID governor, the genetic algorithm combined with the fuzzy PID is used to optimize the fuzzy reasoning rules, and the fuzzy reasoning system is used to calculate the varying value of PID parameters for automatical modulation of PID parameters. In order to resolve the irregularity between the optimized rules and the coarseness of fuzzy rules' surface, a smoothness factor is applied to the objective function. The simulation result shows that this method is valid for seeking hydraulic turbine fuzzy PID governor's fuzzy rules. |
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| Keywords: | water turbine governing system genetic algorithm fuzzy control PID control smoothness factor |
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