本論文主旨在於應用模糊邏輯方法，在等高度以及等速度條件下發展一飛行控制器。經由如此方法設計之控制器，預期將較以傳統之線性控制方法所設計者較為強健。為簡化控制器之設計，研究中係假設飛機的縱向及側向運動並無偶合。在應用模糊邏輯時，各變數均各自被賦予一定範圍，再映射到模糊推論區間，以進一步建立模糊控制規則庫。因模糊規則庫輸出數個可能的控制變數，故必須經由重心解模糊法的程序以確立單一的控制變數值。為驗證所設計之模糊控制器是否能有效運作，本文以模擬的方法比較模糊控制器與傳統控制器。研究中發現，在大部分的飛行狀態下，模糊控制的性能均可以與傳統控制器相比擬；但在未重新設計控制器的情況下，模糊控制器較傳統控制器更為強健。

The objective of this thesis is to develop a flightcontroller under a constant-altitude and constant-speed conditionby using the fuzzy logic method. It is expected that a controller so designed is more robust than those designedby the conventional linear control method. In the study, the longitudinal motion and the lateral motion are assumed to beuncoupled in order to simplify the controller design. In the application of the fuzzy logic method, each variable is defined in agiven range and then mapped onto the input domain of fuzzy inference. A rule bank is further established to feed back a set of state variablesto generate the necessary control. Since the control variables output from the rule bank are not unique, a defuzzification method is designed based on the centroid principle in order to generatea precise value of control. In order to validate the fuzzy controller, simulations are conducted to compare its performance to that of a conventional controller. In this thesis, it is found that, under most of the flight conditions, the performance of the fuzzy controller is as good as that of a conventional controller. It is interesting to find that, under certain flight conditions, the fuzzy controller is found to bemore robust than a conventional controller, provided that both kinds of controllers are originally designed for one flight condition but not redesigned for thecurrent flight conditions.

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