Two freedom linear parameter varying μ synthesis control for flight environment testbed

Zhu, Meiyin; Wang, Xi; Dan, Zhihong; Zhang, Song; Pei, Xitong

doi:10.1016/j.cja.2019.01.017

Cited by 23 publications

(6 citation statements)

References 27 publications

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“…Linear parameter varying (LPV) has gained significant interest in recent decades due to its applicability in systems with real-time sensor input-output data. This approach allows the tuning of controller parameters in the presence of parameter variations [2], [3]. LPV control method was initially introduced in the work of [4] to the author's best knowledge.…”

Section: Introductionmentioning

confidence: 99%

Output Feedback Fault Tolerant Control for Linear Parameter Varying Plants Considering Imperfect Fault Information

Azeem,

Hamayun,

Ijaz

et al. 2024

IEEE Access

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This study focuses on the design of an integral sliding mode-based fault-tolerant control allocation (ISM-FTCA) scheme for the class of uncertain linear parameter varying (LPV) systems. The objective is to tackle the fault occurring in the actuator channel by exploiting available redundancy through a control allocation (CA) scheme in an output feedback framework. In this work, the assumption on the estimation of actuator effectiveness level, which was previously considered (in the existing literature) to be perfect coming from fault diagnosis and identification (FDI) scheme, is relaxed due to its bit conservatism nature. The uncertain system dynamics, originating due to faults, failures, and imperfect fault information, are catered to by designing a virtual control law using the LPV output ISM control strategy. An unknown input LPV observer is designed to provide the estimate of unmeasured plant states to the virtual control law. This work thoroughly investigates the closed-loop dynamics of the uncertain LPV system, utilizing the small gain theorem to develop criteria for stability. These conditions provide crucial insights into the performance and robustness of the suggested strategy. Finally, the efficiency of the proposed control scheme is verified in the simulation environment by using a nonlinear 6-degree-of-freedom dynamic model of the octarotor unmanned aerial vehicle (UAV) system. Numerical simulations under different faults and failures conditions and in the presence of imprecise estimation validate the closed-loop performance close to nominal scenarios.

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Section: Introductionmentioning

confidence: 99%

Output Feedback Fault Tolerant Control for Linear Parameter Varying Plants Considering Imperfect Fault Information

Azeem,

Hamayun,

Ijaz

et al. 2024

IEEE Access

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“…In 2022, Liu et al started to focus on the axial dynamic performance in AGTFs and built a quasi-one-dimensional flow model of a pipe [15] because Sheeley et al proved that the accuracy of the lumped-parameter model is inadequate [16]. Moreover, robust control algorithms such as scheduled proportional-integral control [17], linear active disturbance rejection [18] and µ synthesis [19] are presented as a compromise to the inaccurate system model. It limits the development of the advanced control method, which maximizes the ability of AGTFs for more complicated experiments.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Cavity Iterative Modeling Method for the Exhaust Systems of Altitude Ground Test Facilities

Miao

Wang

Zhu³

et al. 2022

Symmetry

Self Cite

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To solve the modeling problem of altitude ground test facility (AGTF) exhaust systems, which is caused by nonlinearity along the gas path and the difficulty of ejection factor calculation, a multi-cavity iterative modeling method is presented. The components of exhaust systems, such as the exhaust diffuser and cooler, are built with a series of volumes. It overcomes the disadvantage that traditional lumped-parameter models have, whereby they cannot calculate the dynamic parameters along the gas path. The exhaust system model is built with an iterative method based on multi-cavity components, and simulations are carried out under experimental conditions. The simulation results show that the maximum error of pressure is 2 kPa in the steady state and less than 6 kPa in the transient process compared with experimental data. Closed-loop simulations are also carried out to further verify the accuracy and effectiveness of the multi-cavity iterative exhaust system modeling method.

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“…A µ-synthesis controller is designed for the supercavitating vehicle to achieve the bank-to-turn (BTT) control, and the stability of the tunning process is guaranteed [16]. To ensure the robustness over the entire working envelope of the flight environment testbed, a µ-synthesis controller based on LPV system is firstly designed [17]. Thirdly, the robust adaptive control has attracted strong interest from researchers because of its excellent robust performance.…”

Section: Introductionmentioning

confidence: 99%

Robust Control of Air-Breathing Hypersonic Vehicles With Adaptive Projection-Based Parameter Estimation

Tan

Lei

2019

IEEE Access

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A robust controller with an adaptive projection-based parameter estimator is presented for the air-breathing hypersonic vehicles. First, a novel parameter-varying model is established wherein the number of variable parameters is significantly reduced. In this way, the problem of overparameterization is avoided, and the controller design procedure is simplified. Then, the framework of the controller is established based on the backstepping approach, in which a second-order filter is introduced to solve the problem of ''explosion of terms''. In order to enhance the robustness of the controller, an adaptive parameter estimator is designed. The Lipschitz continuous dead-zone modification is used to solve the problem of parameter draft in the conventional adaptive control and a sufficiently smooth projection operator is introduced to guarantee the uniform boundedness of adaptive parameters. The simulation results show that the proposed robust controller achieves the stable tracking of the reference commands under the parameter perturbation, and the variable parameters are limited within the preset range.INDEX TERMS Air-breathing hypersonic vehicle, robust control, adaptive control, parameter estimation, projection operator.

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Two freedom linear parameter varying μ synthesis control for flight environment testbed

Cited by 23 publications

References 27 publications

Output Feedback Fault Tolerant Control for Linear Parameter Varying Plants Considering Imperfect Fault Information

Output Feedback Fault Tolerant Control for Linear Parameter Varying Plants Considering Imperfect Fault Information

A Multi-Cavity Iterative Modeling Method for the Exhaust Systems of Altitude Ground Test Facilities

Robust Control of Air-Breathing Hypersonic Vehicles With Adaptive Projection-Based Parameter Estimation

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