Weight‐transducerless control strategy based on active disturbance rejection theory for gearless elevator drives

2017 ◽  
Vol 11 (2) ◽  
pp. 289-299 ◽  
Author(s):  
Gaolin Wang ◽  
Bowen Wang ◽  
Chen Li ◽  
Dianguo Xu
Keyword(s):  
Control Strategy ◽  
Disturbance Rejection ◽  
Active Disturbance Rejection

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.

scholarly journals Generalized active disturbance rejection control for the boiler-turbine unit using multi-objective optimization and extended state observer

2019 ◽  
Vol 272 ◽  
pp. 01002
Author(s):  
Jianzhong Zhu ◽  
Xiao Wu ◽  
Jiong Shen ◽  
Meihong Wang
Keyword(s):  
Control Strategy ◽  
Disturbance Rejection ◽  
Turbine Unit ◽  
Extended State Observer ◽  
Fuel Quality ◽  
Multi Objective Optimization ◽  
Extended State ◽  
Multi Objective ◽  
Active Disturbance Rejection ◽  
Wide Range

This paper proposes a generalized active disturbance rejection controller (GADRC) based hierarchical control structure for the boilerturbine unit. In the lower layer, a multivariable extended state observer (MESO) is developed to estimate the values of the lumped disturbances caused by modelling mismatches, fuel quality variation and wide range load variation. The influence of the disturbances is then compensated at the input side as a feedforward control. In the upper layer, the multi-objective optimization is devised to obtain the set-points by removing the plant behaviour variation from the optimized model in a feasible way. The lowpass filter acting on the lumped disturbances is designed to bridge the gap between the lower and upper layer. The impact of the feedthrough item is approximated by a first-order system and a two degree-of-freedom (2-DOF) control strategy is established to illustrate the set-point tracking and disturbance rejection properties of the controller. Simulation studies on a 1000MWe coal-fired ultra-supercritical boiler-turbine unit demonstrate that the proposed control strategy can achieve a satisfactory performance in cases of fuel quality variations, model-plant mismatches and wide range load variation.

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