DC Bus Voltage Control of Wind Power Inverter Based on First-Order LADRC

Yuan, Changsheng; Zhou, Xuesong; Ma, Youjie

doi:10.1109/access.2021.3138274

Cited by 7 publications

(6 citation statements)

References 8 publications

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“…Another advantage of the improved LESO controller is that it is insensitive to the slight variation of control parameters which inherits from the ADRC method. Therefore, in order to simplify the tuning of control parameters, the PD variables can be selected as k p ¼ v 2 c , k d = 2v c , and v c is the bandwidth of the controller [31,32]. As a result, the input variable u is rewritten as (7), and the transfer functions of each variable is obtained,…”

Section: Controller Design For the Elasmentioning

confidence: 99%

Precise and coordinated gearshift control for AMT gearshift system equipped with two linear actuators

Lin,

Li,

Tang

et al. 2024

Mechanics & Industry

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A type of automated manual transmission gearshift system that uses two linear actuators to perform gearshift events is presented. The shifting mechanism can be made simpler by using linear actuator to drive the shift fork directly. The mathematical model of the actuator is built and analyzed. Coordinated control of the engagement and disengagement processes is created based on a detailed analysis of the gearshift process in order to shorten the shift time. The force characteristics test reveals the nonlinear output characteristics. The precise displacement control need for coordinated control and stable control requirement for the shifting operation are satisfied by a linear extended state observer based controller. To verify the novel gearshift system and the control method, a test bench and control system are constructed. The results of the simulations indicate that the displacement control's accuracy is enhanced. As the speed difference reaches 500 r/min, the testing results demonstrate a noticeably reduced of shift force fluctuation and jerk generated during the gearshift process, from 20 m/s3 to 3.1 m/s3. With the improved gearshift system and control method, the gearshift coordinated control can also save 25 ms of shift time.

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Section: Controller Design For the Elasmentioning

confidence: 99%

Precise and coordinated gearshift control for AMT gearshift system equipped with two linear actuators

Lin,

Li,

Tang

et al. 2024

Mechanics & Industry

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“…Despite the aforementioned developments in trajectory-following control, how to deal with AGEV system nonlinearity and internal and external disturbances remain as difficulties. Recently, ADRC technology has been shown to possess the ability to deal with these challenges, and the ADRC retains the advantages of simple computation, structural simplicity strong versatility, and strong robustness against disturbance compensation, which can improve system stability, reliability, and response speed [18][19][20][21][22][23][24]. Recently, several efforts have been brought forward in this respect.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, several efforts have been brought forward in this respect. An active disturbance rejection controller is introduced in active suspension system control of half-tracked vehicle, total disturbances can be eliminated by switch extended state observer [21]. In [23], a dual-loop control strategy based on active disturbance rejection control is designed to attenuate external and internal disturbances of single-stage three-phase isolated matrix rectifiers (TIMRs).…”

Section: Introductionmentioning

confidence: 99%

Design of Active Disturbance Rejection Controller for Trajectory-Following of Autonomous Ground Electric Vehicles

Jin,

Lv,

et al. 2023

Symmetry

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In this paper, the concept of symmetry is utilized in the promising trajectory-following control design of autonomous ground electric vehicles—that is, the construction and the solution of active disturbance rejection controllers are symmetrical. This paper presents an active disturbance rejection controller (ADRC) for improving the trajectory-following performance of autonomous ground electric vehicles (AGEV) with an advanced active front steering system. Since AGEV trajectory dynamics are inherently affected by complex traffic conditions, various driving maneuvers, and other road environment, the main control objective is to deal with the AGEV trajectory control challenges of system uncertainties, system nonlinearities, and external disturbance. First, the vehicle dynamics trajectory-following model and its state space representation system are established. Then, the augmented control-oriented vehicle-trajectory-following system with dynamic error is developed. The resulting active disturbance rejection controller of the vehicle-trajectory-following system is finally designed using the trajectory performance index and active disturbance compensation, and the stability of the active disturbance rejection controller is also analyzed and derived via Lyapunov stability theory. The effectiveness of the proposed controller is validated through double lane change and serpentine maneuvers under the co-simulation platform of MATLAB/Simulink-Carsim®. Simulation results show that the designed controller provides enhanced vehicle-trajectory-following performance compared to the linear quadratic regulator controller (LQR) and model predictive controller (MPC). It will provide a certain guidance for the controller engineering design of the AGEV trajectory-following system.

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“…Finally, the authors propose a novel wind field model; this model is employed to prove the effectiveness of the controller under the action of wind disturbance. Research by Yuan and Zhao et al [16,17], aiming at the problem of grid voltage fluctuation in power grid systems such as wind power grid-connected inverters, proposed an improved LADRC controller to improve the disturbance observation accuracy of the system by reducing the phase lag of the observer. The results showed that the improved method has better rapidity and immunity.…”

Section: Introductionmentioning

confidence: 99%

Based on Backpropagation Neural Network and Adaptive Linear Active Disturbance Rejection Control for Attitude of a Quadrotor Carrying a Load

2022

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A control method combining Backpropagation (BP) neural network and Adaptive Linear Active Disturbance Rejection Control (ALADRC) is proposed for the attitude control problem of quadrotor aircraft. The proposed controller can observe and compensate the total disturbance in the working process of the quadrotor system. At the same time, it has a good ability to suppress the disturbance of the quadrotor load mass change. In addition, adaptive control and BP neural network are used to adjust the controller parameters in real time to solve the problem of difficult parameter tuning. Finally, the stability of the system is proved based on Lyapunov theory. The simulation results show that the quadrotor system can still track the altitude and attitude angle commands stably in the presence of disturbances, and has strong adaptability to load mass changes, so that the quadrotor can still complete the given tasks in the presence of multi-source disturbances.

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DC Bus Voltage Control of Wind Power Inverter Based on First-Order LADRC

Cited by 7 publications

References 8 publications

Precise and coordinated gearshift control for AMT gearshift system equipped with two linear actuators

Precise and coordinated gearshift control for AMT gearshift system equipped with two linear actuators

Design of Active Disturbance Rejection Controller for Trajectory-Following of Autonomous Ground Electric Vehicles

Based on Backpropagation Neural Network and Adaptive Linear Active Disturbance Rejection Control for Attitude of a Quadrotor Carrying a Load

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