A New Initial Rotor Angle Position Estimation Method for High-Speed Brushless Direct Current Motor Using Current Injection and Mathematical Model

2018 ◽  
Vol 140 (7) ◽  
Author(s):  
Zhenyan Wang ◽  
Yanzhao He
Keyword(s):  
Mathematical Model ◽  
Direct Current ◽  
High Speed ◽  
Estimation Error ◽  
Mathematical Formulation ◽  
Estimation Method ◽  
Position Estimation ◽  
Average Value ◽  
Three Phase ◽  
Rotor Angle

In this paper, a new initial rotor angle position estimation method for the sensorless high-speed brushless direct current (DC) motor (HS-BLDCM) is proposed. Two groups of special three-phase conduction current pulse signals are injected into the three phases of the motor, and the mathematical formulation for the initial angle position estimation is illustrated. The initial rotor position is expressed as a function of the line voltage, the phase current derivative, and the average value of d–q frame stator inductance. Particularly, the independent parameters of the initial rotor angle position are eliminated in the mathematical model. The cooperative simulation results based on Maxwell and Simplorer and the experimental results demonstrate that the proposed method is effective with the estimation error less than 0.2 deg electrical in simulation and 5 deg electrical in experiment.

scholarly journals Higher-Order Sliding Mode Observer for Speed and Position Estimation in PMSM

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Suneel K. Kommuri ◽  
Kalyana C. Veluvolu ◽  
M. Defoort ◽  
Yeng C. Soh
Keyword(s):  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Estimation Method ◽  
Higher Order ◽  
Position Estimation ◽  
Accurate Estimation ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Three Phase ◽  
Low Pass

This paper presents a speed and position estimation method for the permanent magnet synchronous motor (PMSM) based on higher-order sliding mode (HOSM) observer. The back electromotive forces (EMFs) in the PMSM are treated as unknown inputs and are estimated with the HOSM observer without the need of low-pass filter and phase compensation modules. With the estimation of back EMFs, an accurate estimation of speed and rotor position can be obtained. Further, the proposed method completely eliminates chattering. Experimental results with a 26 W three-phase PMSM demonstrate the effectiveness of the proposed method.

Dynamic Interactions of Link Elasticity and Clearance Connections in Planar Mechanical Systems

1975 ◽  
Vol 97 (2) ◽  
pp. 652-661 ◽  
Author(s):  
S. Dubowsky ◽  
T. N. Gardner
Keyword(s):  
Mathematical Model ◽  
Numerical Solution ◽  
High Speed ◽  
Mathematical Formulation ◽  
Quantitative Prediction ◽  
Simple Design ◽  
Dynamic Interactions ◽  
Design Procedures ◽  
Link Flexibility ◽  
Wide Operating

This study is an investigation of the effects of clearances and link flexibility on the stresses in joints of high speed mechanisms. A general large angular motion mathematical model is developed using an efficient mathematical formulation based on displacement functions. Numerical solution of the model reveals that over a wide operating range, link flexibility consistently reduces joint bearing stresses. The possibility of developing simple design procedures for quantitative prediction of joint bearing stresses is discussed.

scholarly journals Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Jianbo Li ◽  
Hongmei Shi
Keyword(s):  
High Speed ◽  
Estimation Error ◽  
Estimation Method ◽  
Dynamic Responses ◽  
Support Vector ◽  
Vibration Acceleration ◽  
High Speed Railway ◽  
Rail Corrugation ◽  
Reconstructed Signal ◽  
Wheel Vibration

Rail corrugation often occurs on the high-speed railway, which will affect ride comfort and even the train operation safety in severe condition. Detection of rail corrugation wavelength and depth is absolutely essential for maintenance and safety. A novel method using wheel vibration acceleration is proposed in this paper, in which ensemble empirical mode decomposition (EEMD) is employed to estimate the wavelength, and bispectrum features are extracted to recognize the depth with support vector machine (SVM). Firstly, a vehicle-track coupling model considering the rail corrugation of high-speed railway is established to calculate the wheel vibration acceleration. Secondly, the estimation algorithm of wavelength is studied by analyzing the main frequency with EEMD. The optimal parameters of EEMD are selected according to the orthogonal coefficient of decomposition results and the distribution of the extreme points of signal. The depth detection is transformed to a classification problem with SVM. Bispectrum features, which are extracted from the reconstructed signal using the high-frequency components of wheel vibration acceleration, combining with train speed and corrugation wavelength are input into SVM to recognize the rail corrugation depth. Finally, numerical simulation is carried out to verify the accuracy of the proposed estimation method. The simulation results show that the proposed detection algorithm can accurately identify rail corrugation, the estimation error of rail corrugation wavelength is less than 0.25%, and the classification accuracy of rail corrugation depth is more than 99%.

Sign in / Sign up

Export Citation Format

Share Document