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Disturbance observer based reliable H_∞ fuzzy attitude tracking control for Mars entry vehicles with actuator failures

机译:具有执行器故障的火星进入车辆基于扰动观测器的可靠H_∞模糊姿态跟踪控制

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This paper introduces a disturbance observer (DO) based reliable H-infinity, fuzzy attitude tracking control design for Mars entry vehicles with actuator failures. Initially, to reduce the complexity of Takagi-Sugeno (T-S) fuzzy modeling, the two time-scale decomposition technique is used to divide the original nonlinear attitude tracking error model of Mars entry vehicles into a slow subsystem describing the attitude kinematics and a fast subsystem describing the attitude dynamics. The dynamic inversion control (DIC) method is subsequently applied to the slow subsystem to generate the angular velocity command. Then, the T-S fuzzy modeling method is employed to exactly represent the fast subsystem and a disturbance observer (DO) is constructed to estimate the modeled disturbance based on the derived tracking error fuzzy system of angular velocity. By the technique of linear matrix inequalities (LMIs), a DO based reliable He fuzzy controller of attitude tracking is developed to stabilize exponentially the angular velocity tracking error and the modeled-disturbance state estimation error with an Ho, tracking performance both in nominal and actuator failure cases. Furthermore, it is shown that the original nonlinear tracking error system is also exponentially stable and satisfies an H-infinity tracking performance both in nominal and actuator failure cases under the proposed fuzzy control law together with the DIC law, provided that the timescale separation between the fast and slow subsystems is valid. Finally, simulation results illustrate the effectiveness of the proposed design method. (C) 2018 Elsevier Masson SAS. All rights reserved.
机译:本文介绍了一种基于扰动观测器(DO)的具有执行器故障的火星进入车辆的可靠H无限,模糊姿态跟踪控制设计。最初,为了降低Takagi-Sugeno(TS)模糊建模的复杂性,使用两种时标分解技术将火星进入车辆的原始非线性姿态跟踪误差模型划分为描述姿态运动学的慢子系统和快速子系统。描述态度动态。动态反转控制(DIC)方法随后应用于慢速子系统以生成角速度命令。然后,采用T-S模糊建模方法精确表示快速子系统,并基于导出的角速度跟踪误差模糊系统,构建了一个扰动观测器(DO)来估计建模的扰动。通过线性矩阵不等式(LMI)技术,开发了基于DO的可靠的He姿态跟踪模糊控制器,以角速度跟踪误差和建模干扰状态估计误差以Ho指数地稳定,标称和执行器的跟踪性能失败案例。此外,还表明,在提出的模糊控制定律和DIC定律的共同作用下,原始非线性跟踪误差系统在标称和执行器故障情况下,在标称故障和执行器故障情况下,也都具有指数稳定性,并满足H无穷大跟踪性能。快速子系统和慢速子系统均有效。最后,仿真结果说明了该设计方法的有效性。 (C)2018 Elsevier Masson SAS。版权所有。

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