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)-文庫吧資料
2025-05-22 10:05本頁面
【正文】 this gainscheduling fuzzy logic controller. They can be roughly determined by Table 1 Fuzzy gains scaling factors simple experimental tests. Then the same values can be applied to different temperature setting points step response control with appropriate steadystate accuracy. For this temperature control system, ge =5 and gce =2 for the coarsetuning operation, and ge=2 and gce=1 for the finetuning operation can be used in any different temperature setting points. The corresponding fuzzy membership functions covering ranges of temperature control errors are 68C for the coarsetuning and ○ C for the finetuning operations, respectively, as shown in Figure 5. The controller software program can automatically switch between the coarsetuning and finetuning control ranges based on the temperature error feedback signal. The control gain value gu depends on the temperature setting points because of the environmental heat equilibrium problem. It needs a little trialanderror work to find an appropriate gain value for a certain range of temperature settings, for example 50– 80○ C, 80– 120○ C, 120– 150○ C, and so on. These parameter values are not critical. Each gain parameter within a certain range can achieve reasonable dynamic responses. Otherwise, we need to design a different fuzzy control rules table for each temperature setting range. That would be a more timeconsuming and tedious work than the proposed approach. In this study, the whole universe of discourse of the membership functions were divided into two divisions, the finetuning and coarsetuning areas. Figure 5 shows the individual spans of two sets of different membership functions. In the beginning of a temperature step response, the controller would automatically choose a large division of membership (coarsetuning area) in response to the large error. When the temperature converges and approaches the steady state, the controller would switch the membership function covering range into the finetuning area to correct the steadystate error. This control strategy can 中北大學 2020 屆畢業(yè)設(shè)計說明書 第 11 頁 共 12 頁 switch automatically between different control ranges and divisions of membership functions based on the feedback signals of control variables errors, e and ce by changing the gain scaling factors of membership functions addition, the system heat equilibrium control voltage is included in the fuzzy rules table for substituting the extra designed offset control value of other control algorithms to simplify the controller des
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