Multiple Timescale Flight Control Using Reconfigurable Sliding Modes

Shtessel, Yuri B.; Buffington, James M.; Banda, Siva S.

doi:10.2514/2.4465

Cited by 115 publications

(40 citation statements)

References 10 publications

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“…VSC/SMC has been used successfully in many applications of FTC [9,10]. A reconfigurable SMC that achieves robust tracking after damage in an aircraft has been designed in [295] and [296]. A MF scheme, based on VSC, that possesses a fault tolerance property has been proposed by [160].…”

Section: Variable Structure Control (Vsc) / Sliding Mode Control (Smc)mentioning

confidence: 99%

Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Rotondo¹

2018

Springer Theses

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This thesis presents some contributions to the state-of-the-art of the fields of gainscheduling and fault tolerant control (FTC).In the area of gain-scheduling, the connections between the linear parameter varying (LPV) and Takagi-Sugeno (TS) paradigms are analyzed, showing that the methods for the automated generation of models by nonlinear embedding and by sector nonlinearity, developed for one class of systems, can be easily extended to deal with the other class. Then, two measures, based on the notions of overboundedness and region of attraction estimates, are proposed in order to compare different models and choose which one can be considered the best one. Later, the problem of designing state-feedback controllers for LPV systems has been considered, providing two main contributions. First, robust LPV controllers that can guarantee some desired performances when applied to uncertain LPV systems are designed, by using a double-layer polytopic description that takes into account both the variability due to the varying parameter vector and the uncertainty. Then, the idea of designing the controller in such a way that the required performances are scheduled by the varying parameters is explored, which provides an elegant way to vary online the behavior of the closed-loop system. In both cases, the problem reduces to finding a solution to a finite number of linear matrix inequalities (LMIs), which can be done efficiently using the available solvers.In the area of fault tolerant control, the thesis first shows that the aforementioned double-layer polytopic framework can be used for FTC, in such a way that different strategies (passive, active and hybrid) are obtained depending on the amount of available information. Later, an FTC strategy for LPV systems that involves a reconfigured reference model and virtual actuators is developed. It is shown that by including the saturations in the reference model equations, it is possible to design a model reference FTC system that automatically retunes the reference states whenever the system is affected by saturation nonlinearities. In this way, a graceful performance degradation in presence of actuator saturations is incorporated in an elegant way. Finally, the problem of FTC of unstable LPV systems subject to actuator saturations is considered. In this case, the design of the virtual actuator is performed in such a way that the convergence of the state trajectory to zero is assured despite the saturations and the appearance of faults. Also, it is shown that it is possible to obtain some guarantees about the tolerated delay between the fault occurrence and its isolation, and that the nominal controller can be designed so as to maximize the tolerated delay.i Resum Aquesta tesi presenta diverses contribucions a l'estat de l'art del control per planificació del guany i del control tolerant a fallades (FTC).Pel que fa al control per planificació del guany, s'analitzen les connexions entre els paradigmes dels sistemes lineals a paràmetres variants en el temps (LPV) i d...

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Section: Variable Structure Control (Vsc) / Sliding Mode Control (Smc)mentioning

confidence: 99%

Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Rotondo¹

2018

Springer Theses

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“…Those are sliding mode controller, back-stepping control, predictive control, neural networks, fuzzy logic, and expert system (Handelman and Stengel, 1989). Several researchers have successfully designed a fault tolerant controller based on the sliding mode control scheme (Shtessel, Buffington and Banda, 1999;Kim and Kim, 2000;Hess and Wells, 2003). The fault tolerant controller based on the sliding mode control scheme does not require the control redesign process although, it can detect and isolate the faults.…”

Section: Other Approaches For Fault Tolerant Controlmentioning

confidence: 99%

Reconfigurable Flight Control

Kim

2010

Encyclopedia of Aerospace Engineering

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A reconfigurable flight control system ( FCS ) is a flight control system that can accommodate the effects of faults by modifying the control system when faults occur during flight. The reconfigurable flight control system provides a significant enhancement to flight safety and performance in the event of a system fault. In this chapter, various approaches for fault tolerant flight control are introduced: passive approaches utilizing robust control schemes and active approaches (control reconfiguration) utilizing fault detection and diagnosis ( FDD ), system identification, and adaptive control schemes. The active approach is classified into two methods: a fault detection and diagnosis‐based approach, and an adaptive control‐based approach. In the FDD‐based approach, an efficient and accurate FDD algorithm is required. An appropriate controller is pre‐designed for each fault model, and a switching mechanism is used in selecting the corresponding controller when a particular fault mode is declared by the FDD process. In the adaptive control‐based approach, the FDD process is eliminated to make the fault tolerant control algorithm simple and allow it to adapt quickly to unknown faults. To compensate for the effects of faults in the adaptive control‐based approach, the changed system parameters due to the faults are estimated or identified online and the controller is adjusted based on the estimated system, or the changed system model is parameterized in terms of the controller parameters that are directly updated without calculating the plant parameters.

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“…C mq (α) qSc Because angular variables (φ, α, β) in equations (26)-(28) is slower than angular rates (p, q, r) in equations (29)-(31), time-scale separation proposed by Shtessel, Buffiington and Banda (1999) can be applied to the aircraft nonlinear dynamics in equations (26)-(31). Under the time-scale separation, the angular rates (p, q, r) can be viewed as control inputs in the slow dynamics equations (26)-(28).…”

Section: Flight Controlmentioning

confidence: 99%

Nonlinear Flight Control Systems

Kim

Tsourdos

White

2010

Encyclopedia of Aerospace Engineering

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This chapter aims to provide the reader with a basic understanding of nonlinear control theory and its applicability to flight control system design. To begin with the limitation of the gain‐scheduling technique widely used for flight control is discussed, and subsequently the taxonomy of the system dynamics is touched in order to help understand how the model characteristics affects the nonlinear controller design. Then nonlinear control theories attractive to flight control system are briefly introduced with tutorials and control law derivations based on aircraft dynamics, which includes feedback linearization, sliding mode control, backstepping control, receding horizon control and other approaches. This chapter finishes with giving conclusions and perspectives of the nonlinear flight control systems.

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Multiple Timescale Flight Control Using Reconfigurable Sliding Modes

Cited by 115 publications

References 10 publications

Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Reconfigurable Flight Control

Nonlinear Flight Control Systems

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