scholarly journals A Novel Smith Predictive Linear Active Disturbance Rejection Control Strategy for the First-Order Time-Delay Inertial System

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Guangda Chen ◽  
Dejun Liu ◽  
Yongxin Mu ◽  
Jinfei Xu ◽  
Yanming Cheng
Keyword(s):  
Time Delay ◽  
Control Strategy ◽  
Disturbance Rejection ◽  
Smith Predictor ◽  
Inertial System ◽  
Active Disturbance Rejection Control ◽  
Actual Object ◽  
First Order ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control

The control strategy research of the time-delay system is a focused issue in the control field. In order to furthermore improve the performance of the first-order time-delay inertial system, firstly, a new Smith predictor structure is proposed, which solves the constraint that the conventional Smith predictor needs to match the actual object model. Secondly, the performance and parameter function of the new Smith predictor are discussed in theory to provide the basis for parameter tuning. Finally, a new Smith predictor combined with linear active disturbance rejection control (LADRC) is proposed to solve the problem that the two input signals of the linear extended state observer (LESO) are not synchronized on the time scale, and the stability of the new Smith + LADRC time-delay control system is proved theoretically for known and unknown controlled complex objects. Simulation analysis is conducted to verify the robustness of the proposed strategy under the condition of the different parameters. The results indicate that the proposed strategy has better performance than the conventional method in response speed, overshoot, adjustment time, and stability.

scholarly journals A Control Method for IPMSM Based on Active Disturbance Rejection Control and Model Predictive Control

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 760
Author(s):  
Fang Liu ◽  
Haotian Li ◽  
Ling Liu ◽  
Runmin Zou ◽  
Kangzhi Liu
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Duty Cycle ◽  
Control Strategy ◽  
Disturbance Rejection ◽  
Torque Ripple ◽  
Current Control ◽  
Active Disturbance Rejection Control ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control

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.

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

2020 ◽  
Vol 42 (12) ◽  
pp. 2221-2233 ◽  
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.

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

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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