Attitude Tracking Control of A Quad‐Rotor with Partial Loss of Rotation Effectiveness

Zhang, Song; Sun, Kaibiao

doi:10.1002/asjc.1495

Cited by 17 publications

(26 citation statements)

References 32 publications

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“…is the combined vector of the unknown entries in −1 (k − 1) and E(k), A T (k − 1) ∈  mn×(n+1)m is the known matrix of coefficients with the entries associated to −1 (k − 1) and E(k) in (17). It is readily to get a suitable solution of (18) by the numerical algebra matrix theory.…”

Section: State Estimator Design To Tolerate Sensor Faultsmentioning

confidence: 99%

“…In recent years, the FTC design emphasized on the control performance and physical constraints like the actuator saturation has been studied besides the closed-loop stability, see e.g. [10][11][12][13][14][15][16][17][18]. Indeed, it is practical and very intractable in developing FTC strategy with the performance requirement and system input and output (I/O) constraints from the limitations on physical components, operating circumstance and product quality.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Novel MPC‐Based Fault Tolerant Tracking Control Against Sensor Faults

Zhang

Wang

2018

Asian Journal of Control

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The problem of active fault‐tolerant tracking control with control input and system output constraints is studied for a class of discrete‐time systems subject to sensor faults. A time‐varying fault‐tolerant observer is first developed to estimate the real system state from the faulty sensor output and control input signals. Then by using the estimated state at each time step, a model predictive control (MPC)‐based fault‐tolerant tracking control scheme is presented to guarantee the desired tracking performance and the given input and output constraints on the faulty system. In comparison with many existing fault‐tolerant MPC methods, its main contribution is that the proposed state estimator is designed by the simple and online numerical computation to tolerate the possible sensor faults, so that the regular MPC algorithm without fault information can be adopted for the online calculation of fault‐tolerant control signal. The potential recursive infeasibility and computational complexity due to the faults are avoided in the scheme. Additionally, the closed‐loop stability of the post‐fault system is discussed. Simulative results of an electric throttle control system verify the effectiveness of the proposed method.

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Section: State Estimator Design To Tolerate Sensor Faultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel MPC‐Based Fault Tolerant Tracking Control Against Sensor Faults

Zhang

Wang

2018

Asian Journal of Control

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“…we try to find bounded input d (t) to track d (t) precisly for system (2). The lifting technique [22] is applied to transform the time-varying system (2) into an equivalent time-invariant system.…”

Section: System Reconstructionmentioning

confidence: 99%

“…For system (2), our goal is to find the control input d (t) so as to get (t) = d (t) for t ∈ [0, ∞).…”

Section: Singular Case (B)mentioning

confidence: 99%

Stable Inversion Based Precise Tracking for Periodic Systems

Zhu

Zhang

Xiong

2018

Asian Journal of Control

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Stable inversion based precise tracking for discrete-time periodically time-varying square systems is studied. By means of the lifting technique, the time-varying system is reformulated equivalently to the time-invariant lifted system that is analyzed for different cases such as the non-singular case and the singular case. Combining the stable inversion method of these cases with the optimal state transition method for time-varying systems, precise tracking is achieved from a limited initial time. The tracking performance of the proposed method is validated through simulations.

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“…It has a robust behavior in the presence of disturbances and uncertainties. [1][2][3][4][5] Furthermore, it has been recently employed in the case of constrained nonlinear systems. 6 While SMC is a simple approach to robust control, 7 implementing this method for designing controllers is more difficult.…”

Section: Introductionmentioning

confidence: 99%

Effective identification of sliding mode control parameters employing linear quadratic regulator and evolutionary computation techniques

2019

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In this paper, a new technique to reduce the search space in evolutionary algorithms for operative identification of sliding mode control parameters is proposed, especially in the case of a rigid satellite. The reduced domain provides a solution closer to the actual optimum at a lower computational cost. The optimized sliding mode controller provides superior performance that eliminates the need for trial‐and‐error exploration. In this approach, a linear quadratic regulator is initially designed for the equivalent linear system. In order to reduce the convergence time and computational cost, the regulator history is then used as a reference to provide optimal space for the sliding mode control parameters. Consequently, boundaries of the optimal space are fed to the genetic algorithm to optimize the control parameters. On the other hand, the particle swarm optimization uses the midpoint of the optimal space as an initial guess. The validation process is performed by tuning the sliding mode control parameters for a rigid satellite, taking into account uncertainties associated with the inertia matrix. The simulation results suggest the convergence to the near‐optimal solution, and the stability and robustness of the controller are enhanced by this technique.

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Attitude Tracking Control of A Quad‐Rotor with Partial Loss of Rotation Effectiveness

Cited by 17 publications

References 32 publications

Novel MPC‐Based Fault Tolerant Tracking Control Against Sensor Faults

Novel MPC‐Based Fault Tolerant Tracking Control Against Sensor Faults

Stable Inversion Based Precise Tracking for Periodic Systems

Effective identification of sliding mode control parameters employing linear quadratic regulator and evolutionary computation techniques

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