外文翻譯---增益規(guī)劃的模糊溫度控制器的單向輸入系統(tǒng)-wenkub
2023-05-19 10:05:23 本頁(yè)面
【正文】 并減少超調(diào)的趨勢(shì)。這種方法是一種新的增益規(guī)劃模糊控制結(jié)構(gòu)。對(duì)于這個(gè)溫度控制系統(tǒng)，粗調(diào)的話 ge =5,gce =2 微調(diào) ge =2,gce =1 可以被應(yīng)用到不同的溫度設(shè)定值。相應(yīng)的模糊隸屬函數(shù)覆蓋的溫度誤差變化范圍是粗調(diào) 6 度，微調(diào) 度，如圖 2 所示。每一個(gè)增益參數(shù)都有確定的動(dòng)態(tài)響應(yīng)的變化范圍。如圖 5 所示。此外，系統(tǒng)的熱量均衡控制電壓包括模糊控制規(guī)則表去代替附加的控制算法的補(bǔ)償，簡(jiǎn)化控制器的設(shè)計(jì)問(wèn)題和控制法則的計(jì)算。為了平衡系統(tǒng)的的熱量，補(bǔ)償控制電壓直接加到額控制規(guī)則中。本 文使用的隸屬函數(shù)是三角形的隸屬函數(shù)。從方程計(jì)算出來(lái)的模糊控制器的輸出決定著控制整流器的控制電壓的每一個(gè)控制步驟。 a general form of the rules can be expressed as Ri : Ri:IF X is A1 and Y is U is C1 (1) where R is the ith rule, X and Y are the states of the system output to be controlled and U is the control input. A1, A2 and C1 are the corresponding fuzzy subsets of the input and output universe of discourse, respectively. The output importance of each fuzzy rule depends on the membership functions of the linguistic input and output variables. In this control system, two input indices of the fuzzy controller are temperature error e and error change ce, and the output index is the control voltage u. In order to simplify the putation of the fuzzy controller, seven equal span triangular membership functions are employed for fuzzy controller input variables e and ce. They are NB, NM, NS, ZO, PS, PM and PB. The membership functions of these fuzzy variables are shown in Figure 2. The divisions of this membership functions can be expanded or shrunk by changing the scaling parameters of membership functions. The gain scaling parameter is used to map the corresponding variable into this nominal range. In human beings’ intuition, when 中北大學(xué) 2020 屆畢業(yè)設(shè)計(jì)說(shuō)明書(shū) 第 9 頁(yè) 共 12 頁(yè) the temperature error is large, the control voltage should be increased to provide more energy to heat the control chamber and reduce the temperature error. On the other hand, when the error is approaching to the zero subset of membership functions, the controller should provide finetuning to correct he little change of temperature error Figure 2 Fuzzy input and output variables membership functions and reduce the overshoot tendency. These two conditions can be traded off by scaling the divided spans of membership functions with a gain parameter. These mapping parameters are specified as ge, gce and gu for the error, error change and control voltage, respectively, whose values are listed in Table 1. The parameters ge and gce are scaling factors selected to specify the fuzzy input variables operating ranges of temperature error and error change, respectively. T
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