外文翻译---增益规划的模糊温度控制器的单向输入系统(编辑修改稿)

外文翻译---增益规划的模糊温度控制器的单向输入系统(编辑修改稿)内容摘要：

are a set of linguistic fuzzy control rules and an inference engine to interpret these rules. 中北大学 2020 届毕业设计说明书 第 8 页 共 12 页 Figure 1 Fuzzy control block diagram of the temperature control system These fuzzy rules offer a transformation between the linguistic control knowledge of an expert and the automatic control strategies of an activator. Every fuzzy control rule is posed of an antecedent and a consequent。 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 中北大学 2020 届毕业设计说明书 第 9 页 共 12 页 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 s。