Robust off-line control allocation

Almeida, Fabio A. de

doi:10.1016/j.ast.2016.02.002

Cited by 15 publications

(3 citation statements)

References 14 publications

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“…Besides, nonlinear controller methods have been proposed by researchers. For example, a nonlinear dynamic inversion control law is proposed by Da Costa et al [9] where the nonlinear dynamics are transformed into linear dynamics using state or output feedback assuming timescale separation between attitude and altitude rates. Nonlinear dynamic inversion controllers require precise knowledge of all nonlinearities that is not possible for modern fighter aircraft [10].…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement for Fighter Aircraft Using Fuzzy Switching LQI Controller

Kemer¹,

Başak²,

Özmen³

2023

Advances in Fuzzy Logic Systems

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In this work, a switching linear quadratic integral (LQI) controller based on fuzzy logic is designed for the load-factor tracking problem of high-performance aircraft referred to as the Aero-Data Model in Research Environment (ADMIRE). ADMIRE is a new generation aircraft and has a wide flight operation envelope in terms of altitude and speed. Hence, it is difficult to design a flight controller to achieve a high tracking performance. First, the LQI controller is selected due to good tracking performance and robustness in the model dynamics. Combining switching LQI controller and fuzzy logic improves the transient performance of the closed-loop switched system. The results obtained with the fuzzy switching controller have been compared with the conventional LQI and the switching LQI in terms of robust demand tracking. The simulation results have demonstrated that the fuzzy switching controller is superior to the conventional LQI and switching LQI controllers due to better transient performance and robust stability.

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Section: Introductionmentioning

confidence: 99%

Performance Improvement for Fighter Aircraft Using Fuzzy Switching LQI Controller

Kemer¹,

Başak²,

Özmen³

2023

Advances in Fuzzy Logic Systems

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“…The scheme allows a smooth switch between thrusters and reaction wheels, which handles the inaccuracy problem of thrusters and the saturation problem of reaction wheels. In [ 24 ], a robust attainable moment set was designed as the worst-case moment set for a given bounded uncertainty caused by variations in flight conditions, vehicle configuration and parametric uncertainties. In [ 25 ], to distribute the virtual control law to each actuator in an optimal manner with fault-tolerant ability, a robust control allocation algorithm was developed based on the virtual controller and the iterative learning observer.…”

Section: Introductionmentioning

confidence: 99%

Robust Control Allocation for Space Inertial Sensor under Test Mass Release Phase with Overcritical Conditions

Zhang

Tao

et al. 2023

Sensors

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This paper proposes a robust control allocation for the capture control of the space inertial sensor’s test mass under overcritical conditions. Uncertainty factors of the test mass control system under the overcritical condition are analyzed first, and a 6-DOF test mass dynamics model with system uncertainty is established. Subsequently, a time-varying weight function is designed to coordinate the allocation of 6-DOF generalized forces. Moreover, a robust control allocation method is proposed to distribute the commanded forces and torques into individual electrodes in an optimal manner, which takes into account the system uncertainties. This method transforms the robust control allocation problem into a second-order cone optimization problem, and its dual problem is introduced to simplify the computational complexity and improve the solving efficiency. Numerical simulation results are presented to illustrate and highlight the fine performance benefits obtained using the proposed robust control allocation method, which improves capture efficiency, increases the security margin and reduces allocation errors.

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“…By applying the

L_{\infty}

optimisation technique, a new iterative algorithm was developed by using a control theoretic approach to finding the minimum norm solution of undetermined problems [16]. To improve the robustness of the operation that converted virtual into real control inputs, the robust set of attainable moments was defined, which accounted for several uncertainties in the vehicle control effectiveness [17]. Tohidi et al .…”

Section: Introductionmentioning

confidence: 99%

Dynamic infinity‐norm constrained control allocation for attitude tracking control of overactuated combined spacecraft

Huang

Duan

2019

IET Control Theory & Applications

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Robust off-line control allocation

Cited by 15 publications

References 14 publications

Performance Improvement for Fighter Aircraft Using Fuzzy Switching LQI Controller

Performance Improvement for Fighter Aircraft Using Fuzzy Switching LQI Controller

Robust Control Allocation for Space Inertial Sensor under Test Mass Release Phase with Overcritical Conditions

Dynamic infinity‐norm constrained control allocation for attitude tracking control of overactuated combined spacecraft

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