首页> 外文会议>ASME Power Conference 2005: Includes Papers from the 2005 International Conference on Power Engineering(ICOPE) pt.A >APPLICATION STUDY OF THE INTELLIGENT INTEGRATION FUZZY CONTROL IN STEAM TURBINE GOVERNING SYSTEM
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APPLICATION STUDY OF THE INTELLIGENT INTEGRATION FUZZY CONTROL IN STEAM TURBINE GOVERNING SYSTEM

机译:智能集成模糊控制在汽轮机调节系统中的应用研究

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Steam turbine governing system is a nonlinear system, both the oil motor and the electric-liquid converter contain the nonlinear loop, however, the control strategy of the steam turbine governing system still stay at the control with PID, but the tuner with FID based on the accurate model belongs to the linear control intrinsically, and it doesn't adapt to the nonlinear object. Fuzzy control doesn't need the accurate mathematical model of the object, which fit to the nonlinear system and possess a better robust performance, and its control mechanism conform to the human's intuitivism description and thinking logic about the function of the control system. Furthermore, the control query table is available by off-line calculation, and the real-time performance is improved. Intelligent integration fuzzy control is adopted here, the fuzzy control adopted the fuzzy control algorithm of full-field with self-tuning factor, where the control regulation is illustrated by analyzing, and the expression is brevity, the algorithm is simple, prone to master and realize with computer, and has self-optimization. The integration adopt the intelligent integration control to eliminate the steady-state error and improve the accuracy of control system. The advantage of the fuzzy control and integration control is developed adequately. The simulation result enunciate that the performance of steam turbine governing system with intelligent integration fuzzy control designed here is better than witch with conventional PID control, carrying advantages such as small super-adjusting, high-speed response, short transition process time and no steady-state error and so on.
机译:汽轮机调节系统是一个非线性系统,油电机和电液转换器都包含非线性回路,但是,汽轮机调节系统的控制策略仍然停留在PID控制下,而基于FID的调谐器基于精确的模型本质上属于线性控制,它不适合非线性对象。模糊控制不需要对象的精确数学模型,该模型适合非线性系统并具有较好的鲁棒性能,其控制机制符合人类对控制系统功能的直观描述和思维逻辑。此外,可以通过离线计算获得控制查询表,并提高了实时性能。这里采用智能积分模糊控制,该模糊控制采用具有自整定因子的全场模糊控制算法,通过分析来说明控制规律,表达式简洁,算法简单,易于掌握和掌握。用计算机实现,并具有自我优化。集成采用智能集成控制,消除了稳态误差,提高了控制系统的精度。模糊控制和积分控制的优点得到充分发展。仿真结果表明,本文设计的具有智能集成模糊控制的汽轮机调节系统的性能优于具有常规PID控制的汽轮机调节系统,具有超调量小,响应速度快,过渡过程时间短,无稳态等优点。状态错误等。

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