外文翻译-蒸汽发生器水位模糊控制研究.doc
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1、英文原文Research on Fuzzy Control for Steam Generator Water LevelThomas Sowell Elgian Nuclear Research Centre SCKoCENBoer tang 200, 8-2400 Mol, Belgium (Received 15 March 2012) AbstractSince SG level control system is a highly complex, non-linear, time-varying and non-minimum phase system. The false wat
2、er level which is caused by the reverse thermal-dynamic effects known as shrink and swell effects, makes the SG water level process dynamics difficult to control. However, traditional PID methods cannot obtain satisfactory effects whose parameters are difficult to be adjusted online. Modern control
3、theory relys on controlled plants precise mathematics model completely. The fuzzy control technology doesnt rely on precise mathematics model and has excellent capability of adapting to the changed parameters. It is suitable for the SG water level control.I. INTRODUCTIONThe steam generator is one of
4、 the main devices in PWR nuclear power plant, in order to ensure the safety of nuclear power plant during operation; the steam generators water level must be controlled in a certain range. When the nuclear power plant is running, as the steam flow or the water flow changing, the amount of boiling bu
5、bbles in the steam generator will change due to local pressure or temperature change, the instantaneous water level showed “false water level” phenomenon. The existence of “false water level” made it difficult to control the water level. The introduction of feed-forward control to the traditional si
6、ngle-loop PID control can, in a certain extent, overcome the false water level phenomenon. But the conventional PID control method in the process of steam generator water level control has some shortcomings. To the steam generator that has highly complex, large time-delay and nonlinear time-varying
7、characteristics, the PID parameters tuning is a tedious job and the control effect is very poor. Furthermore, to achieve good control performance still as conditions changing, it often needs to change the PID controller parameters. But the analog PID controller parameters are difficult to regulate o
8、nline. Fuzzy control is a kind of nonlinear control strategy based on fuzzy reasoning, which express operating experience of skilled manipulation men and common sense rules of inference through vague language. Fuzzy control do not need to know precise mathematical model of controlled object, is not
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