Hybrid Pulse High-Frequency Voltage Injection Control Algorithm of Sensorless IPMSM for Vehicles
Jingbo Wu1,2, Yongwei Wang1, Zhijun Guo1
1College of Vehicle and Transportation Engineering, Henan University of Science and Technology, Luoyang 471003, China.
This study introduces a new sensorless control method for Interior Permanent Magnet Synchronous Motors (IPMSM) that accurately estimates rotor position and magnetic pole polarity, even at zero speed. This enables smooth starting and stable low-speed operation for electric vehicles.
Area of Science:
- Electrical Engineering
- Control Systems
- Automotive Technology
Background:
- Conventional sensorless control algorithms for IPMSMs struggle with accurate rotor position estimation and magnetic pole polarity identification during zero-speed, high-torque starting, and low-speed operation.
- These limitations can lead to significant errors and instability in electric vehicle powertrains.
Purpose of the Study:
- To propose a novel hybrid pulse voltage signal injection method for sensorless control of IPMSMs.
- To address the challenges of rotor position error and magnetic pole polarity identification in challenging operating conditions.
- To ensure smooth startup and stable low-speed performance in vehicle applications.
Main Methods:
- A hybrid pulse vibration high-frequency voltage signal injection technique is employed.
- Simultaneous injection of high-frequency sinusoidal and opposite pulse voltage signals into the assumed coordinate system's axis.
- Identification of magnetic pole polarity via the flux chain saturation effect.
- Analysis of response current amplitude to determine the position relationship between assumed and actual d-axes.
Main Results:
- The proposed method accurately identifies magnetic pole polarity and estimates rotor position at zero and low speeds.
- The algorithm enables smooth motor startup from zero speed.
- Stable motor operation at low speeds is achieved.
Conclusions:
- The hybrid pulse voltage signal injection method offers a robust solution for sensorless IPMSM control.
- Accurate rotor position and polarity identification are crucial for reliable electric vehicle performance.
- The developed algorithm enhances the performance and reliability of IPMSMs in critical operating scenarios.
More Related Videos
09:04A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
Published on: June 1, 2022
14:47Author Spotlight: Combined Peripheral Nerve Stimulation and Controllable Pulse Parameter Transcranial Magnetic Stimulation to Probe Sensorimotor Control and Learning
Published on: April 21, 2023
Related Concept Videos
Generator Voltage Control
PD Controller: Design
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
PID Controller
Time-Domain Interpretation of PD Control
Consider the example of control of motor torque. Initially, a positive...
Motor Unit Stimulation
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
PI Controller: Design
