Integrated design of speed-sensorless and adaptive speed controller for a brushless DC motor

Wang, Hsiu-Ping; Liu, Yen-Tsan

doi:10.1109/tpel.2005.869772

Cited by 38 publications

(3 citation statements)

References 13 publications

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“…However, due to the too high actual working environment temperature of the horizontal well tractor, the position sensor of general BLDCM cannot work normally [1] [2] [3] [4]. As a result, the general BLDCM will generate wrong commutation signals in this working environment, which may cause the motor lost step or even block turn.…”

Section: Introductionmentioning

confidence: 99%

Design of Drive System for Sensorless Brushless DC Motor Based on Model Reference Adaptive Control and Its Application in Horizontal Well Tractor

He¹,

Chen²,

Ruan³

et al. 2018

OALib

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The actual working environment temperature of the horizontal well tractor is too high, which leads to position sensor of general brushless DC motor (BLDCM) cannot work normally. Therefore, the position sensorless drive system is designed to overcome the problems caused by the position sensor in the actual working conditions. The principle of sensorless BLDCM work is introduced in detail, And drive system of Sensorless BLDCM was established by using simulation software. The use of three stage start make motor smoothly start, the motor speed detection based on model reference adaptive control (MRAC), ensures accurate commutation. Finally, the hardware and software design of the BLDCM system based on digital signal controller (DSC) is introduced and tested. The experimental results show that the drive system can start the BLDCM smoothly in the high temperature environment, and can quickly track the given speed, which meet the actual work demand of the horizontal well tractor.

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Section: Introductionmentioning

confidence: 99%

Design of Drive System for Sensorless Brushless DC Motor Based on Model Reference Adaptive Control and Its Application in Horizontal Well Tractor

He¹,

Chen²,

Ruan³

et al. 2018

OALib

View full text Add to dashboard Cite

show abstract

“…For parameter variations and nonlinearities in the induction motor, the performance of speed controller affects the performance of sensorless [5]. Speed controllers have PI controller [6,7], Fuzzy-neural networks controller [8] and MMRAS controller [9].…”

Section: Introductionmentioning

confidence: 99%

Modified MRAS Speed Controller for Direct Torque Controlled Sensorless Induction Motor Drives

Wang

Chang

Liu

2013

AMM

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This paper presents a Modified model reference adaptive system (MMRAS) speed controller for speed estimation of induction motor using model-reference adaptive scheme (MRAS) approach in a direct torque control system. A good speed controller of induction motor can enhance the speed estimation of sensorless drives. The MMRAS controller can reduce effect of parameter variations and nonlinearities in the induction motor, and approaches to desired performance of referenced model. So, the presented controller can enhance the performance of speed estimation. The availability of the proposed structure scheme is verified by through under computation simulations with MATLAB software. Simulation results are presented in order to prove the availability of the proposed structure scheme.

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“…The performance of speed controller affects the performance of sensorless each other [6]. The paper uses the weighted tuning PI controller to improve the performance of induction motor drive and enhance the performance of speed estimation [7,8].…”

Section: Introductionmentioning

confidence: 99%

Weighted Tuning PI Controller for MRAS Sensorless Induction Motor Drive

Wang

Chang

2012

AMM

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The paper presents a weighted tuning PI controller for speed estimating of induction motor using model reference adaptive system (MRAS) approach in a direct torque control system. The performance of speed controller affects the performance of sensorless each other. The objective of presented weighted tuning PI controller is to improve the performance of induction motor drive and enhance the performance of speed estimation. The presented controller is based on Ziegler-Nichols (Z-N) tuning formula with weighted tuning. The method improves the problem of parameter choice, reduces the over shoot and is simple as Z-N without system model. The availability of the proposed structure scheme is verified by through simulation results.

show abstract

Integrated design of speed-sensorless and adaptive speed controller for a brushless DC motor

Cited by 38 publications

References 13 publications

Design of Drive System for Sensorless Brushless DC Motor Based on Model Reference Adaptive Control and Its Application in Horizontal Well Tractor

Design of Drive System for Sensorless Brushless DC Motor Based on Model Reference Adaptive Control and Its Application in Horizontal Well Tractor

Modified MRAS Speed Controller for Direct Torque Controlled Sensorless Induction Motor Drives

Weighted Tuning PI Controller for MRAS Sensorless Induction Motor Drive

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