Active disturbance rejection control for bearingless permanent-magnet slice motor based on nonlinear phase-locked loop observer

Author(s):  
Yifan Zhang ◽  
Xiaodong Ruan ◽  
Liang Hu ◽  
Lingling Li ◽  
Bo Li ◽  
...  

In this paper, an active disturbance rejection control (ADRC) controller based on a novel nonlinear phase-locked loop observer (NPLLO) is proposed to improve the disturbance rejection property and suspension performance of bearingless permanent-magnet slice motor (BPMSM) for bearingless pumps. First, based on the mathematical model of BPMSM for bearingless pumps, the novel NPLLO, a structure derived from the nonlinear phase-locked loop (PLL) and combining a special nonlinear function, is designed to estimate the uncertainties and load/radial disturbance in real time. Second, NPLLO-based ADRC (NP-ADRC) controllers are designed for rotation and suspension, respectively. Third, the parameter tuning of NP-ADRC is analyzed. Finally, NP-ADRC is analyzed with simulation in MATLAB/Simulink and verified on a BPMSM test bench. Both simulation and experimental results verified the effectiveness of the proposed method.

Actuators ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 147
Author(s):  
Zhaoyao Shi ◽  
Pan Zhang ◽  
Jiachun Lin ◽  
Hongyu Ding

An improved active disturbance rejection control (I-ADRC) to improve the disturbance attenuation of a permanent magnet synchronous motor speed controller was proposed in this paper. A nonlinear function with improved smoothness was adopted to design the controller. The Lyapunov stability of the improved tracking differentiator, the improved extended state observer, and the controller were analysed. Moreover, simulations and experiments confirmed the effectiveness of the proposed controller. The results demonstrate that the proposed controller has a smaller steady-state error and a stronger disturbance attenuation ability than the proportional integral derivative (PID) controller.


2012 ◽  
Vol 588-589 ◽  
pp. 479-483
Author(s):  
Song Wang ◽  
Guang Da Li

A new method named Windowed Least Square (WLS) to test main parameters of Permanent Magnet Synchronous Motor (PMSM) is proposed in this paper. Compared with Extended Kalman Filter (EKF) & Elman neural network and Recursive Least Square (RLS), WLS guarantees identification accuracy and excellent timeliness, and the issue of data saturation of RLS can be avoided. The PMSM model is built combining on-line parameter identification with Active Disturbance Rejection Control (ADRC) to improve the control performance of PMSM. The simulation results demonstrate that the performance of ADRC system using online estimation strategy is better than that of the system using PID method.


2018 ◽  
Vol 37 (4) ◽  
pp. 1109-1124
Author(s):  
Xu Cheng ◽  
Zhenlong Wu ◽  
Donghai Li ◽  
Min Zhu

An anechoic end is desired to be implemented on an acoustic test rig. The acoustic impedance can be tuned with active control, such as phase shift control. A precise mathematical description of a system is necessary for phase shift control. However, in some cases, the mathematical model is inaccurate and even impossible to obtain. To overcome the weakness, active disturbance rejection control is proposed as a model-independent strategy and is tested on an identified model and test rig for comparison to phase shift control. The results of the simulation and the experiment show that the performance of phase shift control is strongly influenced by the accuracy of the model, and active disturbance rejection control achieved good performance in the absence of a proper model. Furthermore, a Lyapunov function is constructed to prove the asymptotic stability of active disturbance rejection control, thus ensuring the stability and robustness of the control system.


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