Improved Full-Order Adaptive Observer for Sensorless Induction Motor Control in Railway Traction Systems Under Low-Switching Frequency

Yin, Shaobo; Huang, Yingwei; Xue, Yaru; Meng, Dongyi; Wang, Chengtao; Lv, Yi; Diao, Lijun; Jatskevich, Juri

doi:10.1109/jestpe.2019.2898875

Cited by 43 publications

(4 citation statements)

References 30 publications

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“…(10) (11) Assuming that e = e . Such that, according to the dynamics below, the input-to-state stability can be proved.…”

Section: Ill Stability Analysismentioning

confidence: 99%

A Hybrid Active Flux Observer Based Encoderless Control Method for AC Motor Drives

Li,

Zhou,

Zhang

et al. 2023

2023 26th International Conference on Electrical Machines and Systems (ICEMS)

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This paper addresses a novel hybrid active flux observer based encoderless control scheme for AC motors. An Extended State Observer (ESO) is used to combine voltage model (VM) and current model (CM), and stabilizes the critically stable VM. Moreover, an adaptive law is designed to identify and compensate the voltage errors caused by inverter nonlinearities. The low-speed operation performance is improved via the proposed control scheme. Experimental results conducted on an asynchronous motor verify the effectiveness of the proposal.

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“…(10) (11) Assuming that e = e . Such that, according to the dynamics below, the input-to-state stability can be proved.…”

Section: Ill Stability Analysismentioning

confidence: 99%

A Hybrid Active Flux Observer Based Encoderless Control Method for AC Motor Drives

Li,

Zhou,

Zhang

et al. 2023

2023 26th International Conference on Electrical Machines and Systems (ICEMS)

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“…Full-order adaptive observer is one of the ace methods of sensorless schemes owing to its quality performance, straightforward stability approach, and minimum computational complexity [11,12]. However, it always fails under permanent operations in low-speed regenerating region around zero frequency [13].…”

Section: Introductionmentioning

confidence: 99%

Extremely low speed performance research of the speed sensorless vector controlled induction motor drive system

Guo

Wang

2022

IET Power Electronics

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This paper proposes a new full-order adaptive observer algorithm to overcome the instability of speed sensorless vector control system of induction motor at low speed, especially at extremely low speed. The algorithm consists of the improved feedback matrix algorithm and the improved speed adaptive law algorithm. By establishing an observer state error equation considering the non-linear voltage error of the inverter and the stator resistance voltage drop, a feedback matrix was designed to reduce the effect of inverter's nonlinear voltage error and stator resistance voltage drop on speed estimation. Meanwhile, this paper improves the traditional adaptive law. The basic idea is to add compensation amount equivalent to the non-linear voltage error, and the compensation amount is adaptive to the running speed and load to improve the motor speed estimation accuracy at low speed. Extensive experimental tests have been carried out to evaluate the performance of the proposed algorithm using a 2.2 kW induction motor experimental platform. The experimental results show that the algorithm presented in this paper can guarantee the stable operation of the motor under the rated-load and 180% rated-load at low, extremely low and 0 speed with good dynamic and static characteristics.

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“…On the other hand, eliminating the speed-sensor in electric drive systems, namely speed-sensorless control, reduce cost, hardware complexity, and maintenance requirements while increasing the reliability of the electric drive system. For this purpose, many model-based estimators/observers have been proposed in the literature, such as model reference adaptive systems [19,20], full-order observers [21,22], extended Luenberger observers [23,24], extended and unscented Kalman filters (EKF and UKF) [25][26][27], and sliding mode observers [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Speed-sensorless predictive torque controlled induction motor drive with feed-forward control of load torque for electric vehicle applications

Zerdali¹,

Demir²

2021

Turk J Elec Eng & Comp Sci

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Nowadays, the global trend is towards reducing CO2 emissions and one solution is to replace internal combustion vehicles with electric vehicles. To this end, electric drive system, the most crucial part of an electric vehicle, has gained importance and has become a major research field. The induction motor (IM) is one of the best candidates for electric vehicle applications due to its advantages such as simple and robust design, low cost and maintenance requirements, the ability to operate in harsh environments. However, it has a highly nonlinear model with time-varying electrical and mechanical parameters making them difficult to control. Finite control set-predictive torque control (FCS-PTC) is an inherently suitable and a promising control method for the IM because FCS-PTC is easy to implement and has the ability to handle nonlinearities with the inclusion of constraints. In addition, the elimination of speed sensors increases the reliability of electric motor drives while reducing cost and hardware complexity. In this paper, a speedsensorless FCS-PTC based IM drive system is designed in order to combine the aforementioned advantages. Unlike the current literature, to improve the torque response of conventional FCS-PTC, the load torque is also estimated by an adaptive fading extended Kalman filter and is fed back into the torque control loop. The results show that improved control performance is achieved.

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Improved Full-Order Adaptive Observer for Sensorless Induction Motor Control in Railway Traction Systems Under Low-Switching Frequency

Cited by 43 publications

References 30 publications

A Hybrid Active Flux Observer Based Encoderless Control Method for AC Motor Drives

A Hybrid Active Flux Observer Based Encoderless Control Method for AC Motor Drives

Extremely low speed performance research of the speed sensorless vector controlled induction motor drive system

Speed-sensorless predictive torque controlled induction motor drive with feed-forward control of load torque for electric vehicle applications

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