本論文之目的在於應用模糊邏輯理論設計一無人戰機之縱向飛行控制系統。模糊邏輯控制的特點在於應用歸屬函數描述，以建立輸入變數與輸出變數間的規則，這些規則是非線性的，稱為模糊規則，或模糊邏輯模式。本論文先應用VORSTAB程式計算一無人戰機11個飛行狀況之空氣動力係數，所有這些空氣動力模式經由模糊邏輯理論整合成一組空氣動力模式，再據以設計其縱向控制系統。與一般控制設計方法不同的是，本論文所發展的方法，係直接以非線性運動方程式設計控制系統，無須將運動方程式針對各種不同飛行狀況線性化。因此，所設計的一組控制系統即適合各種飛行狀況，無須如傳統方法須先針對每一個飛行狀況作控制系統設計，再以增益排程(gain scheduling)方法整合之。為證明所發展理論之可行，本論文以一無人戰機為例，詳細說明模糊邏輯空氣動力模式的建立，及模糊邏輯縱向飛行控制系統之設計。

The objective of this thesis is to design a flight control system for an unmanned combative aerial vehicle (UCAV) by using the fuzzy logic theory. Fuzzy-logic control is characterized by using the description of the membership functions to establish the rule between the input and output variables. Such rules are nonlinear and are called the fuzzy rules, or the fuzzy-logic models. In this thesis, the aerodynamic coefficients of 11 flight conditions are computed first by using the VORSTAB for a UCAV. All these sets of aerodynamic coefficients are synthesized to just one set of aerodynamic model by using the fuzzy-logic theory. The longitudinal control system is then designed accordingly. Unlike conventional methods of control system design, the method developed in this thesis is do design the control system directly with the original nonlinear equations of motion without linearization. Therefore, the resulted control system is adapted to various flight conditions. Since non linearization with respect to each individual flight condition is required, no gain scheduling is necessary for synthesizing. To validate the theory developed, in this thesis, a UCAV is used for constructing a fuzzy-logic aerodynamic model which is then used for designing a fuzzy-logic longitudinal control law.

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