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Author

Chen Yimei

Bio: Chen Yimei is an academic researcher from Tianjin Polytechnic University. The author has contributed to research in topics: Adaptive control & Control-Lyapunov function. The author has an hindex of 2, co-authored 8 publications receiving 7 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, a direct adaptive controller is designed to complete the global adaptive stability of the uncertain system, at the same time, the controller is also verified to possess the optimality.

4 citations

Proceedings ArticleDOI
03 Jun 2019
TL;DR: A sliding mode control with sliding mode observation compensation based on super twisting algorithm is proposed to enhance the anti-disturbance ability of the controller.
Abstract: To solve the problem that quad-rotor is easy to be disturbed by external disturbances during flight because it is small in size and light in weight, a sliding mode control with sliding mode observation compensation based on super twisting algorithm is proposed to enhance the anti-disturbance ability of the controller. The controller makes the sliding mode control curve smoother and weaken the chattering phenomenon of the normal sliding mode control. Simulation and experimental results show that the above method can control the performance better.

2 citations

Proceedings ArticleDOI
12 Nov 2012
TL;DR: This paper deals with a control strategy for underactuated underwater vehicle moving in 6-degrees of freedom whose target is the tracking of a space trajectory, which build upon Lyapunov's method and backstepping technique.
Abstract: This paper deals with a control strategy for underactuated underwater vehicle moving in 6-degrees of freedom whose target is the tracking of a space trajectory. The control algorithms proposed build upon Lyapunov's method and backstepping technique, which force the vehicle follow any smooth time-varying bounded trajectory, despite of the uncertainty in the damping coefficient and absence of the force of sway and heavy. The error of tracking and parameter estimation are ultimately confined to a ball that can be made arbitrarily small.

1 citations

Journal ArticleDOI
TL;DR: In this article, the problem of global stabilization with the developed control Lyapunov function V has been considered and sufficient conditions for global stabilization are presented when V is negative semi-definite.
Proceedings ArticleDOI
14 Jul 2014
TL;DR: Simulation results show that the hysteretic neural network can complete the prediction of the wind speed series, and the prediction performance is superior to that of the same type neural network.
Abstract: In order to improve the information processing capabilities of the traditional neural network, and improve the forecast accuracy of the wind speed series, a new hysteretic neural network based on the hysteretic neurons is proposed. The hysteretic neuron is constructed by adding a hysteretic operator into the activation function. The hysteretic characteristic can make the response of the neuron is related to not only the current input information but also the history input information. In this way, the amount of information used in the prediction process is increased, and the prediction ability of the neural network can be improved. In order to avoid the information redundancy or loss, the structure and the training samples are determined according to the autocorrelation function and the partial autocorrelation function of the wind speed series. Simulation results show that the hysteretic neural network can complete the prediction of the wind speed series, and the prediction performance is superior to that of the same type neural network.

Cited by
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Book ChapterDOI
22 Mar 2011
TL;DR: The chapter presents an approach to control the biped humanoid robot to ambulate through human imitation using tri-axis accelerometers and Lyapunov stability based model reference adaptive controller (MRAC) technique is implemented to address unpredictable variations of the biping system.
Abstract: The chapter presents an approach to control the biped humanoid robot to ambulate through human imitation. For this purpose a human body motion capturing system is developed using tri-axis accelerometers (attached to human legs and torso). The tilt angle patterns information from the human is transformed to control and teach various ambulatory skills for humanoid robot bipedalism. Lyapunov stability based model reference adaptive controller (MRAC) technique is implemented to address unpredictable variations of the biped system.

5 citations

14 Feb 2010
TL;DR: The aim of this paper is to present alternative methods for decision making algorithms that can be introduced for micro-spacecraft, providing robust autonomous control with a modest computational overhead.
Abstract: The drive toward reducing the size and mass of spacecraft has put new constraints on the computational resources available for control and decision making algorithms. The aim of this paper is to present alternative methods for decision making algorithms that can be introduced for micro-spacecraft. The motivation behind this work comes from dynamical systems theory. Systems of differential equations can be built to define behaviors which can be manipulated to define an action selection algorithm. These algorithms can be mathematically validated and shown to be computationally efficient, providing robust autonomous control with a modest computational overhead.

5 citations

Proceedings ArticleDOI
01 Aug 2020
TL;DR: A sliding manifold is synthesized based on the estimated output of extended disturbance observer that has strong ability of perfect estimation of exogenous disturbances and the composite control algorithm devise swift adaptation and convergence of the flight control when subjected to exogenous perturbations.
Abstract: This paper proposes composite control scheme for attitude and altitude tracking of quadrotor using terminal sliding mode control strategy and a novel extended disturbance observer. A sliding manifold is synthesized based on the estimated output of extended disturbance observer that has strong ability of perfect estimation of exogenous disturbances. The observer offers a tool to vanish the effect of mismatched disturbances and the composite control algorithm devise swift adaptation and convergence of the flight control when subjected to exogenous perturbations. Moreover, wider class of disturbances are considered in this study and the effectiveness of the proposed control method is validated by the simulation results.

4 citations

Proceedings ArticleDOI
25 Jul 2012
TL;DR: The model reference adaptive control is used to improve the dynamic response performance of the steering system and the simulation results show that this control method is effective under the condition of a reasonable choice of control parameters.
Abstract: Each axle of the heavy duty vehicle has the independently controlled hydraulic steering mechanism It is of the stronger nonlinearity and load disturbance, therefore using the conventional control method is difficult to get good control effect Based on the kinetic analysis of the steering system, this paper makes use of the model reference adaptive control to improve the dynamic response performance of the steering system The paper studied using the algorithm of model reduction to reduce the complexity of the model and computation The simulation results show that this control method is effective under the condition of a reasonable choice of control parameters

3 citations

Journal ArticleDOI
TL;DR: In this paper, the authors developed attitude control algorithms for the descent phase onto an asteroid in micro-gravity conditions and drew a comparison between the algorithms considered, and investigated the potential of using direct adaptive control (DAC) as a controller for the surface sampling process.
Abstract: One of the future flagship missions of the European Space Agency is the asteroid sample return mission Marco-Polo. Although there have been a number of past missions to asteroids, a sample has never been successfully returned. The return of asteroid regolith to the Earth's surface introduces new technical challenges. This article develops attitude control algorithms for the descent phase onto an asteroid in micro-gravity conditions and draws a comparison between the algorithms considered. Two studies are also performed regarding the fault detection isolation and recovery of the control laws considered. The potential of using direct adaptive control (DAC) as a controller for the surface sampling process is also investigated. The use of a DAC controller incorporates increased levels of robustness by allowing real-time variation of control gains. This leads to better response to uncertainties encountered during missions.

3 citations