蒸汽發(fā)生器水位控制畢業(yè)論文中英文資料外文翻譯文獻(xiàn)(編輯修改稿)
2025-07-08 00:47 本頁(yè)面
【文章內(nèi)容簡(jiǎn)介】 The structure showed in Figure 1. Figure 1. Structure of steam generator water level fuzzy controller Choose the water level error (e) and change rate of error (ec) as input of the fuzzy controller, the output of the fuzzy controller is the added value of the valve opening signal Δu. Meanwhile, use the steam flow feedforward to overe the false water level phenomenon, use water flow feedback to overe fluctuations in water supply side . k1, k2 were water flow and steam flow transmitter conversion factor. To ensure the water flow to match the steam flow, k1 and k2 values should be equal to. B. Fuzzy theory, fuzzy subset and Membership Function The fuzzy Analects of e, ec and u are [6, 6], both with seven fuzzy sets NB (negative big), NM (negative middle), NS (negative small), ZO (zero), PS (positive small), PM (positive middle) and PB (positive big) to describe. e, ec and, Δu are all using triangular membership function (see Figure 2). Fuzzy controller K1 valve GW(s) dx/dt K2 GS(s) expected water lever Stream flow Water lever water flow e ec + + + + + + Figure 2. Input and output variable membership function C. Fuzzy control rule table The establishment principle of fuzzy control rules are: when the error is large, the output control volume should give priority to eliminate error as soon as possible。 when the error is small, the output control volume should givepriority to prevent overshoot. Where ec is negative ,it shows that water level has a rising trend, if the water level is high at this time, then we should reduce the valve opening signal。 whereas, we should open the valve more. Through a prehensive analysis of expertise, the establishment of rule table shown in Table 1. Table 1. Fuzzy control rule table e ec NB NM NS ZO PS PM PB NB NB NB NM NM NS NS ZO NM NB NM NM NS NS NS ZO NS NM NM NS NS ZO PS PS D. Fuzzy Reasoning and Solution This fuzzy inference system uses Mamdani. The basic properties of fuzzy inference system set to: and operation with a very small operation。 or operation uses the maximum operation. Using a very small operation fuzzy implication, fuzzy rules integrated with great operations center Defuzzification method used. IV. SIMULATION EXAMPLES A pressurized water reactor steam generator
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