Load torque and moment of inertia observability analysis for alternating current drive sensorless control

Author(s):  
Ivo Herman ◽  
Pavel Vaclavek
Author(s):  
Tao Wang ◽  
Jikun Li ◽  
Yuwen Liu

The control of permanent magnet synchronous motor has become an important research, and many control methods have been developed because of its high efficiency and energy-saving characteristics. This article proposes a new motor control approach based on synergetic approach in control theory (SACT) and sliding-mode control (SMC). Since the load torque of the motor will change, the moment of inertia will increase in the experiment. The load torque is estimated by the sliding-mode observer. The moment of inertia is calculated by the least squares method by adding a forgetting factor. The practical application of synergetic control theory broadens the train of thought to meet the demand of high-performance motor drive further. The simulation and experimental results show that this control scheme in this article can improve the transient response and system robustness of dynamic systems.


2019 ◽  
Vol 48 (9) ◽  
pp. 905004
Author(s):  
缪存孝 Miao Cunxiao ◽  
邢国柱 Xing Guozhu ◽  
刘建丰 Liu Jianfeng ◽  
万双爱 Wan Shuang′ai ◽  
杨 竞 Yang Jing ◽  
...  

2017 ◽  
Vol 68 (2) ◽  
pp. 99-108 ◽  
Author(s):  
Mitesh B. Astik ◽  
Praghnesh Bhatt ◽  
Bhavesh R. Bhalja

Abstract A sensorless control scheme based on an unknown input observer is presented in this paper in which back EMF of the Brushless DC Motor (BLDC) is continuously estimated from available line voltages and currents. During negative rotation of motor, actual and estimated speed fail to track the reference speed and if the corrective action is not taken by the observer, the motor goes into saturation. To overcome this problem, the speed estimation algorithm has been implemented in this paper to control the dynamic behavior of the motor during negative rotation. The Ackermans method was used to calculate the gains of an unknown input observer which is based on the appropriate choice of the eigenvalues in advance. The criteria to choose eigenvalue is to obtain a balance between faster convergence rate and the least noise level. Simulations have been carried out for different disturbances such as step changes in motor reference speed and load torque. The comparative simulation results clearly depict that the disturbance effects in actual and estimated responses minimizes as observer gain setting increases.


2015 ◽  
Vol 86 (5) ◽  
pp. 264-269 ◽  
Author(s):  
S. S. Anan’ev ◽  
A. N. Golubev ◽  
V. A. Martynov ◽  
V. D. Karachev ◽  
A. V. Aleinikov

2021 ◽  
pp. 1-1
Author(s):  
Shanhong Lv ◽  
Kaiyu Yang ◽  
Chaoxing Wu ◽  
Kun Wang ◽  
Rong Chen ◽  
...  

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