| 摘要: |
| 【目的】针对水轮机调节系统常规PID控制存在的适应性不足问题，采用模糊PID控制作为水轮机调节系统的基本控制策略，为水轮机调节系统的有效控制提供支持。【方法】采用基于模型综合特性曲线的非线性水轮机模型，建立水轮机调节系统模糊PID控制仿真模型，通过协同进化算法同时优化模糊PID控制的3个比例因子和模糊规则，并以实例验证所建水轮机调节系统的控制性能。【结果】通过对不同工况点的优化得出一组适合于全工况的通用有效模糊规则。与常规PID相比，协同进化模糊PID仿真控制使调节时间缩短了28%，超调量减少了49%，振荡次数减少了50%。【结论】引入了非线性水轮机模型，使得系统建模更加合理，仿真结果更加真实可信。采用协同进化模糊PID的水轮机调节系统的控制性能优于常规PID控制，该控制策略能使系统良好地适应运行工况的变化。 |
| 关键词: 水轮机调节系统 非线性模型 协同进化算法 模糊PID |
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| 基金项目:教育部高等学校博士学科点专项科研基金项目(20096118110012) |
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| Simulation of coevolutionary fuzzy-PID in nonlinear hydro-turbine regulating system |
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| Abstract: |
| 【Objective】To handle the lack of adaptability in PID control,using the fuzzy-PID as hydro-turbine regulating system basic control strategy was introduced to hydro-turbine governor system.【Method】Nonlinear hydro-turbine model based on the model-synthetical characteristic curve was applied to model the hydro-turbine governor system fuzzy-PID simulation model,and the parameters and fuzzy rules were optimized by co-evolutionary algorithm and verified the control performance of the hydro-turbine regulating sustems by examples.【Result】The universal effective fuzzy rules suitable for hydro-turbine regulatory system was obtained through different operation point fuzzy-PID control optimal rules by co-evolutionary algorithm.The regulating time reduced by 28%,the overshoot decreased by 49% and the number of oscillations was cut down by 50%.【Conclusion】The introduction of a nonlinear model of hydro-turbine made system modeling more rational and the simulation results were more authentic.Coevolutionary fuzzy-PID control performance of the hydro-turbine regulatory system was superior to conventional PID control and this control strategy would enable the regulatory system to well adapt to changes in the operating conditions. |
| Key words: hydro-turbine regulating system nonlinear model coevolutionary algorithm fuzzy-PID |
