2019
DOI: 10.1016/j.ast.2019.105482
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The lateral control during aircraft-on-ground deceleration phases

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Cited by 9 publications
(4 citation statements)
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“…In order to investigate the robustness of the proposed control to the crosswind, three constant crosswinds of [5,10,15]m/s are used within the duration of As illustrated in Figure 14(a), the aircraft can follow the runway centerline eventually under all defined crosswinds. The maximum lateral displacement caused by the crosswind of 10 m/s is just 0.71 m. But when the value of crosswind increases to 15 m/s, the lateral displacement changes obviously and the maximum is 7.74 m. Figures 14(b-d) show the actuator deflections under different crosswinds.…”
Section: Robustness To the Crosswindmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to investigate the robustness of the proposed control to the crosswind, three constant crosswinds of [5,10,15]m/s are used within the duration of As illustrated in Figure 14(a), the aircraft can follow the runway centerline eventually under all defined crosswinds. The maximum lateral displacement caused by the crosswind of 10 m/s is just 0.71 m. But when the value of crosswind increases to 15 m/s, the lateral displacement changes obviously and the maximum is 7.74 m. Figures 14(b-d) show the actuator deflections under different crosswinds.…”
Section: Robustness To the Crosswindmentioning
confidence: 99%
“…9 A novel weighted model predictive control is developed for the lateral control during the aircraft-on-ground deceleration phases. 10 The optimal path-following control and disturbance observer-based wind compensation are derived to control the aircraft in Ref. 11.…”
Section: Introductionmentioning
confidence: 99%
“…In the study of aircraft ground dynamics, similar to vehicle dynamics, the linear 2 DOF vehicle model could be referred to [25][26]. And the control reference model is shown as follows:…”
Section: A Aircraft Reference Modelmentioning
confidence: 99%
“…Generally, the rollout process shows high nonlinearity and is difficult to be modeled accurately. [4] Fuzzy control methods can be effective for such systems. Fuzzy systems represent control scheme which is developed to deal with the nonlinear processes and due to their powerful adaptability and nonlinear modeling capability they are widely used in many applications.…”
Section: Introductionmentioning
confidence: 99%