Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference
DOI: 10.1109/fuzzy.1994.343863
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Fuzzy logic gain scheduling for flight control

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Cited by 20 publications
(4 citation statements)
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“…This control architecture is shown in Figure 2. Fuzzy logic has also been used similariy for gain scheduling, where either the outputs or feedback gains of linear controllers designed for different operating conditions are blended based on fuzzy rules (Sugeno and Kang 1986;Gonsalves and Zacharias 1994).…”
Section: Setpointmentioning
confidence: 99%
“…This control architecture is shown in Figure 2. Fuzzy logic has also been used similariy for gain scheduling, where either the outputs or feedback gains of linear controllers designed for different operating conditions are blended based on fuzzy rules (Sugeno and Kang 1986;Gonsalves and Zacharias 1994).…”
Section: Setpointmentioning
confidence: 99%
“…Usually, the linearization method used to get a set of equivalent linear models based on the state points in entire envelope, then, we could design the controllers on linear system theory according to the flight criterion of different aircraft [12]. Obviously, its disadvantage is evident that every controller must ensure the system stable on each flight state point and also around its little region, and must be smoothly switched the controller to another flight state point, this is not easy in LFE, So, kinds of control methods, such as fuzzy logic, adaptive control, neural network, H ∞ control so on, proposed to solve this problems [13][14][15][16][17][18], and many of them took on a effective result. This paper try to apply H∞ mixed fuzzy output feedback control, and by means of the different stability condition in [19] to introduce a variable and design a different controller from [6,11] in flight control law.…”
Section: Introductionmentioning
confidence: 99%
“…The disadvantages associated with gain scheduling include a reliance on a long trial-and-error design process, a lack of adaptability to on-line variations, and poor robustness to uncertainties. Gain scheduling has been applied to process control 5 and the design of flight control systems for high 6 Ž . performance aircraft.…”
Section: Introductionmentioning
confidence: 99%