Reduced‐order simultaneous state and fault estimator based fault tolerant preview control for discrete‐time linear time‐invariant systems

Han, Kezhen; Feng, Jian; Li, Yueyang; Li, Shi

doi:10.1049/iet-cta.2017.1280

Cited by 32 publications

(16 citation statements)

References 38 publications

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“…The objective is to design a guaranteed-cost preview control law, with the form Remark 4. The preview repetitive controller (7) consists of four parts: The first part is repetitive control, the second term represents output feedback, the third and the fourth represent the preview action based on the future values of the previewable reference signal and the disturbance signal. Besides, considering that the system states are not measurable, the static output feedback is used instead of taking the state feedback.…”

Section: Remarkmentioning

confidence: 99%

“…Based on a state feedback controller with integral action and a dynamic feedforward controller, a new ILC structure was proposed in [31]. Similarly, the future values of the reference trajectory r(k) and the integral of the learning action are contained in the preview repetitive controller (7), which can be viewed as a feedforward controller and help the system reduce static errors.…”

Section: Remarkmentioning

confidence: 99%

“…It was found that preview control can enhance performance of the closed-loop system [3]. In recent years, the problem of preview control has received considerable attention and various control structures and algorithms have been proposed [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust Guaranteed-Cost Preview Repetitive Control for Polytopic Uncertain Discrete-Time Systems

2019

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In this paper, a robust guaranteed-cost preview repetitive controller is proposed for a class of polytopic uncertain discrete-time systems. In order to improve the tracking performance, a repetitive controller, combined with preview compensator, is inserted in the forward channel. By using the L-order forward difference operator, an augmented dynamic system is constructed. Then, the guaranteed-cost preview repetitive control problem is transformed into a guaranteed-cost control problem for the augmented dynamic system. For a given performance index, the sufficient condition of asymptotic stability for the closed-loop system is derived by using a parameter-dependent Lyapunov function method and linear matrix inequality (LMI) techniques. Incorporating the controller obtained into the original system, the guaranteed-cost preview repetitive controller is derived. A numerical example is also included, to show the effectiveness of the proposed method.

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Section: Remarkmentioning

confidence: 99%

Section: Remarkmentioning

confidence: 99%

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Robust Guaranteed-Cost Preview Repetitive Control for Polytopic Uncertain Discrete-Time Systems

2019

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“…In [49], an integrated fault tolerant control framework was proposed based on Reduced-order simultaneous state and fault estimator for discrete-time linear time-invariant systems, which was performed at the H ∞ optimization level. Also, the observer-based fault detection and tracking control method was proposed in [46] and [47] for a quadrotor UAV and a planar vertical take-off and landing UAV respectively. By integrating radial base function neural network (RBFNN) with fuzzy sliding mode control, an actuator fault tolerant control technique for a coaxial octorotor UAV was introduced in [19].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Robust Control and Sensor Fault Detection for a Ducted Coaxial-Rotor UAV

Jia

Chen

2019

IEEE Access

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This paper addresses the aerodynamic modeling, observer-based state-feedback robust control and sensor fault detection for a laboratory ducted coaxial-rotor UAV (DCUAV). First, by introducing the main model elements of this novel unmanned vehicle, the detailed nonlinear mathematical model of the hovering flight UAV is presented. Second, through introducing a weighting matrix and a new form of changeof-variables, a new method is proposed by designing two different systems simultaneously as detector and controller. An observer-based controller is proposed to achieve the control objective and finite-frequency sensor fault detection objective simultaneously. The observer-based controller design method is derived from a new formulation of linear matrix inequality (LMI), which can achieve the prescribed H ∞ performance, H − performance and the stability of the closed-loop system. By constructing a new matrix decomposition form, the simultaneous design of detector parameters and controller parameters is solved. Finally, simulations are conducted for the hover flight with disturbances and sensor faults, the results show the satisfactory control performance and fault detection performance.

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“…For example, in the nonlinear case, the problem of stability analysis and control design has been studied based on the differentiable mean value theorem. 26,27 The problems of preview control of Takagi-Sugeno fuzzy systems have been investigated in the works of Wang and Aida 28 and Choi et al 29 and the problem of an integrated fault-tolerant preview tracking control framework has been investigated based on reduced-order simultaneous state and fault estimation in the work of Han et al 30 Additionally, the problems of adaptive preview controller design for discrete-time systems with unknown piecewise constant coefficients have been investigated in the works of Wang et al, 31,32 respectively. Some achievements have been made in the field of preview control for descriptor systems, eg, the problems of linear time-invariant descriptor systems have been studied in other works.…”

Section: Introductionmentioning

confidence: 99%

Output feedback preview tracking control for time‐varying polytopic descriptor systems

Yan

2019

Optim Control Appl Methods

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Summary This paper focuses on the problem of static output feedback preview tracking control for discrete‐time descriptor systems with time‐varying parameters subject to a previewable reference signal. First, an augmented error system including the information of the future reference signal is constructed based on the error system approach. Second, a preview control policy is constructed by integrating output feedback, preview action, and integral operation. Relying on the augmentation modeling technique, a linear preview control design problem is transformed into an equivalent augmented output‐feedback control design problem. New design conditions guaranteeing the existence of a stabilizing controller are recast as an LMI‐based feasibility problem. The proposed preview controller design method requires neither special constraints on the state‐space system matrices nor a high‐dimensional augmented error system. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.

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Reduced‐order simultaneous state and fault estimator based fault tolerant preview control for discrete‐time linear time‐invariant systems

Cited by 32 publications

References 38 publications

Robust Guaranteed-Cost Preview Repetitive Control for Polytopic Uncertain Discrete-Time Systems

Robust Guaranteed-Cost Preview Repetitive Control for Polytopic Uncertain Discrete-Time Systems

Simultaneous Robust Control and Sensor Fault Detection for a Ducted Coaxial-Rotor UAV

Output feedback preview tracking control for time‐varying polytopic descriptor systems

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