A Novel Current Control Strategy for Magnetization State Manipulation of Variable Flux Memory Machine Based on Linear Active Disturbance Rejection

In this paper, the speed tracking problem of the interior permanent magnet synchronous motor (IPMSM) of an electric vehicle is studied. A cascade speed control strategy based on active disturbance rejection control (ADRC) and a current control strategy based on improved duty cycle finite control set model predictive control (FCSMPC) are proposed, both of which can reduce torque ripple and current ripple as well as the computational burden. First of all, in the linearization process, some nonlinear terms are added into the control signal for voltage compensation, which can reduce the order of the prediction model. Then, the dq-axis currents are selected by maximum torque per ampere (MTPA). Six virtual vectors are employed to FCSMPC, and a novel way to calculate the duty cycle is adopted. Finally, the simulation results show the validity and superiority of the proposed method.

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Nonlinear Low Bias Current Control for Magnetic Bearing System Using Active Disturbance Rejection Technology

10.1115/icone28-65730 ◽

2021 ◽

Author(s):

Yichen Yao ◽

Yixin Su ◽

Suyuan Yu

Keyword(s):

Control Strategy ◽

Disturbance Rejection ◽

Control Method ◽

System Modeling ◽

Magnetic Bearing ◽

Bias Current ◽

Current Control ◽

Zero Bias ◽

Active Disturbance Rejection ◽

Bearing System

Abstract Magnetic bearing is widely used in helium-turbine circle of the high temperature gas-cooled reactor and many other highspeed rotating machinery because of its unique advantages in vibration and noise reduction. However, the power consumption of magnetic bearing increases its cost of use. Moreover, the design of magnetic bearing controller relies on accurate system modeling. All these restrict the industrial application of magnetic bearings. Based on the structure of the eight-pole magnetic bearing and its corresponding traditional decentralized differential PID control strategy, this paper proposes a magnetic bearing control framework including expected bearing force realization control strategy and centralized control strategy. Under this framework, a nonlinear low bias current control method for magnetic bearing system is given. Afterwards, an active disturbance rejection controller based on low(zero) bias current is proposed to compensate the gyroscopic disturbance and modeling uncertainty of the system. The controller can keep small loss of magnetic bearing and have good stability. It has a frame of active disturbance rejection control (ADRC) and its compensation performance is analyzed. In order to verify the effectiveness of the controller, a corresponding experimental verification is carried out on the test rig. The results show that the control strategy is effective.

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Control Strategy of Grid-connected Wind Power Inverter Based on Linear Active Disturbance Rejection Control

2020 IEEE International Conference on Mechatronics and Automation (ICMA) ◽

10.1109/icma49215.2020.9233748 ◽

2020 ◽

Author(s):

Yulong Chen ◽

Xuesong Zhou ◽

Youjie Ma

Keyword(s):

Wind Power ◽

Control Strategy ◽

Disturbance Rejection ◽

Active Disturbance Rejection Control ◽

Active Disturbance Rejection ◽

Disturbance Rejection Control

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Decoupling control of high-purity heat integrated distillation column process via active disturbance rejection control and nonlinear wave theory

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331220908989 ◽

2020 ◽

Vol 42 (12) ◽

pp. 2221-2233 ◽

Cited By ~ 1

Author(s):

Yun Cheng ◽

Zengqiang Chen ◽

Mingwei Sun ◽

Qinglin Sun

Keyword(s):

Nonlinear Wave ◽

Control Strategy ◽

High Purity ◽

Disturbance Rejection ◽

Distillation Column ◽

Decoupling Control ◽

Active Disturbance Rejection Control ◽

Active Disturbance Rejection ◽

Disturbance Rejection Control ◽

Control Scheme

Although the heat integrated distillation is an energy-efficient and environment-friendly separation technology, it has not been commercialized. One of the reasons is that the nonlinear dynamics and the interactions between various control loops have limited the performance of the traditional control strategy. To achieve a high-purity product concentration, a dynamic decoupling control strategy based on active disturbance rejection control (ADRC) is proposed. The effects of interactions, uncertainties and external disturbances can be estimated and rejected by using extended state observer. Considering the constraints on manipulated variables, an optimized ADRC is designed for the first-order system. Moreover, a concentration observer based on a nonlinear wave model is formulated to reduce the number of sensors. In the simulation research, the related internal model control (IMC), multi-loop ADRC and model predictive control (MPC) are compared with the proposed control scheme. The simulation results demonstrate the advantages of the proposed control scheme on tight control, decoupling performance and disturbance rejection for the high-purity heat integrated distillation column.

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Trajectory tracking control for a quadrotor unmanned aerial vehicle based on dynamic surface active disturbance rejection control

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331220909003 ◽

2020 ◽

Vol 42 (12) ◽

pp. 2198-2205

Author(s):

Yong Zhang ◽

Zengqiang Chen ◽

Mingwei Sun

Keyword(s):

Unmanned Aerial Vehicle ◽

Control Strategy ◽

Disturbance Rejection ◽

Active Disturbance Rejection Control ◽

Dynamic Surface ◽

Virtual Control ◽

Active Disturbance Rejection ◽

Disturbance Rejection Control ◽

Aerial Vehicle ◽

Surface Active

This paper proposes a dynamic surface active disturbance rejection control (ADRC) strategy to deal with trajectory tracking problems for a quadrotor unmanned aerial vehicle (UAV). Compared with backstepping control, the design process of the dynamic controller is more simple; the dynamic surface control introduces a first-order filter to obtain the derivative of the virtual control, the purpose is to avoid the virtual control derivation, and to simplify the control law of the whole system. The ADRC technique is mainly used to reject the disturbances and stabilize the quadrotor UAV system. Parametric uncertainties and external disturbances have been considered for the whole system, the control strategy that proposed in this paper has been simulated by MATLAB and the advantages and effectiveness of the control strategy that proposed in the paper are shown by comparing with the classical ADRC.

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