Adaptive fixed-time trajectory tracking control for Mars entry vehicle

Shen, Ganghui; Xia, Yuanqing; Zhang, Jinhui; Cui, Bing

doi:10.1007/s11071-020-06088-2

Cited by 20 publications

(15 citation statements)

References 36 publications

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“…Figs. [37][38][39][40] show the tracking performance for the x position, y position, orientation angle, and path tracking, respectively. These results show that the ODW can help randomly changing users in achieving stable tracking motion in finite time.…”

Section: Resultsmentioning

confidence: 99%

“…Remark 9: In contrast to the previous methods achieving finite-time control [37,38], the developed controller (23) with velocity constraints can ensure practical finite-time stability for the stochastic rehabilitative training walker system, which is more applied to human-robot systems to improve the performances of tracking and safety.…”

Section: Stochastic Finite-time Tracking Controllermentioning

confidence: 99%

See 1 more Smart Citation

Finite-time Tracking Control with Velocity Constraints for the Stochastic Rehabilitative Training Walker System Considering Different Rehabilitee Masses

Sun

Wang

Shan

2021

Preprint

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This study discusses a finite-time tracking controller for a rehabilitative training walker that imposes velocity constraints. The walker was described using a stochastic model through which the rehabilitee mass can randomly change, and a velocity constraint method was proposed to control the velocity input to every omniwheel based on a model predictive algorithm. This approach is novel in that the velocity constraint information obtained from the kinematics model was used to design the tracking controller based on the stochastic dynamic model, thus successfully constraining the actual velocity of walker as per the stochastic system. The nonlinear tracking controller was built for the stochastic rehabilitative walker to make the system’s finite time stable. Also, simulation and experiment were performed, and results confirmed that the proposed tracking control method with velocity constraints is very effective, so it may enable various rehabilitees to train safely.

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Section: Resultsmentioning

confidence: 99%

Section: Stochastic Finite-time Tracking Controllermentioning

confidence: 99%

Finite-time Tracking Control with Velocity Constraints for the Stochastic Rehabilitative Training Walker System Considering Different Rehabilitee Masses

Sun

Wang

Shan

2021

Preprint

View full text Add to dashboard Cite

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“…Liu et al examined the group controllability of the multiagent system, proposed a general definition of group controllability, and established a correlation criterion of group controllability [30]. In the research of sliding mode variable structure control algorithm, Shen et al developed a trajectory tracking control scheme for the Mars orbiter and proposed a method of adaptive fixed-time control [31]. Shao et al proposed a state observer with two polynomial feedback terms to identify unmeasurable speed states and unknown uncertain disturbances.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Control of Multimotor Systems for Fixed‐Time Optimisation Based on Virtual Main‐Axis Speed Compensation Structure

Zhang

Ming-jie

et al. 2021

Complexity

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In response to the high-speed and high-precision collaborative control requirements of the multimotor system for filling, a new type of virtual master-axis control structure is proposed and a multimotor fixed-time optimized collaborative control algorithm is designed. Firstly, coupling relationship between virtual and slave motors is effectively established by designing a velocity compensation module for the virtual motor. Secondly, the sliding mode observer (SMO) is used to reconstruct the composite disturbance composed of motor parameter perturbation and load disturbance. Finally, the variable gain terminal sliding mode controller (SMC) is designed to ensure that each slave motor can track the given value within a fixed time. The fast convergence of the system can be proved by the fixed-time convergence theorem and Lyapunov’s stability theorem. The simulation results show that, compared with the traditional virtual main-axis control strategy, the proposed method is more effective for the tracking control of each slave motor in the initial stage.

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“…To handle this faultiness, Andrieu et al in [21] put forward the concept of fixed-time stability, that requires that the connected settling time function is independent from initial system conditions. With this new framework, many works have appeared to study the fixed-time control designs of different linear or nonlinear systems [22][23][24][25][26][27][28][29][30][31][32]. Generally speaking, the existing methods on such control designs can be di-vided into two kinds: the bi-limit homogeneous method [21,22] and the Lyapunov-based method [23][24][25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

A State-scaling Design for Prescribed-time Stabilization of High-order Nonlinear Systems with Input Quantization

Zhang

Gao

Huang

et al. 2021

Preprint

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This article considers global stabilization problem for a kind of uncertain high-order nonlinear systems (HONSs). Two distinct characteristics of this study are that the considered system possesses the input-quantized actuator, and the prescribed time convergence of the system states is wanted. To address these, a novel state-scaling transformation (SST) is firstly introduced to convert the aboriginal prescribed-time stabilization (PTS) to the asymptotic stabilization of the transformed one. Then, under the new framework of equivalent transformation, a quantized state feedback controller that achieves of the performance requirements is developed with the aid of the technique of adding a power integrator (API). Finally, simulation results of a liquid-level system are provided to confirm the efficacy of the proposed approach.

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Adaptive fixed-time trajectory tracking control for Mars entry vehicle

Cited by 20 publications

References 36 publications

Finite-time Tracking Control with Velocity Constraints for the Stochastic Rehabilitative Training Walker System Considering Different Rehabilitee Masses

Finite-time Tracking Control with Velocity Constraints for the Stochastic Rehabilitative Training Walker System Considering Different Rehabilitee Masses

Collaborative Control of Multimotor Systems for Fixed‐Time Optimisation Based on Virtual Main‐Axis Speed Compensation Structure

A State-scaling Design for Prescribed-time Stabilization of High-order Nonlinear Systems with Input Quantization

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