Sensorless PMSM Position Estimation via Vibration Induced Saliency

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Solution Overview

Problem

Existing control methods for permanent magnet synchronous machines (PMSMs) face challenges in estimating rotor position without a sensor, particularly at low speeds, especially for low saliency machines like surface-mounted PMSMs, where traditional methods fail due to lack of significant saliency and interference from measurement noises.

Innovation Solution

The method involves measuring current Iabc across the motor, extracting a filtered current Iabc_inj at a predetermined frequency, and estimating the motor position using vibration-induced saliency, creating pseudo saliency by injecting voltage or current signals to facilitate position estimation without a position sensor.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If traditional sensorless control methods are used for low saliency PMSMs, then the system structure is simplified, but position estimation fails at low speeds due to lack of significant saliency and measurement noise interference

Engineering Contradiction:
Improvesystem structureVSAvoidposition estimation accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent applies mechanical vibration by injecting high-frequency voltage or current signals into the motor windings, which induces vibratory currents in the rotor. These vibrations create artificial saliency effects that enable position estimation at low speeds without requiring physical position sensors, thus resolving the contradiction between simplified system structure and position estimation accuracy

Inventive Principle:
Principle #18Mechanical vibration

Solution Approach 2:

The patent changes the operating parameters by injecting high-frequency signals at specific frequencies and amplitudes to create vibration-induced saliency. By modulating the injection signal parameters and processing the resulting current responses, the system achieves accurate position estimation without physical sensors, particularly effective at low speeds where traditional methods fail

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If a rotor position sensor is installed to achieve accurate position information, then position estimation accuracy is improved, but hardware cost and system complexity increase

Engineering Contradiction:
Improveposition estimation accuracyVSAvoidhardware configuration
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements self-service by using the motor's own electrical characteristics and vibration responses to generate position information. The control system processes the motor's current responses to injected signals to extract position data, eliminating the need for external position sensors and reducing hardware complexity while maintaining accurate position estimation

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces mechanical position sensing systems with an electrical field-based vibration analysis method. By substituting physical sensors with electrical signal injection and response analysis, the system achieves sensorless position estimation, reducing hardware complexity while maintaining measurement precision

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Speed

If high frequency signal injection is applied to create vibration induced saliency, then position estimation at low speeds is enabled, but measurement noise interference increases

Engineering Contradiction:
Improvelow speed operation capabilityVSAvoidmeasurement noise
Core Design Contradiction:
SpeedVSObject-affected harmful factors

Solution Approach 1:

The patent extracts the useful vibration-induced current signals from the noisy background by using band-pass filtering techniques centered at the injection frequency. This extraction process separates the position-information-carrying signals from measurement noise, enabling accurate position estimation at low speeds despite the presence of noise

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent employs feedback mechanisms where the estimated position information is continuously refined by comparing expected and actual current responses. This feedback loop helps distinguish genuine vibration-induced saliency signals from random measurement noise, improving position estimation accuracy at low speeds

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables reliable sensorless control of PMSMs at low speeds by generating anisotropy artificially, reducing hardware costs and improving system reliability by eliminating the need for a position sensor, while effectively estimating rotor position through computed impedance differences.

Implementation Method 1

creating pseudo saliency by causing a physical vibration in the mechanical system by injecting voltage or current signals

Methodology Applied
Scientific EffectVibration: Vibration

Data Source

PatentUS10992245B2Position estimation of permanent magnet synchronous machines through vibration induced saliency
Publication Date: 2021.04.27 STEERING SOLUTIONS IP HOLDING CORP
  • US10992245B2 patent drawing
  • US10992245B2 patent drawing
  • US10992245B2 patent drawing

AI summary

Technical solutions are described herein for position estimation of permanent magnet synchronous machines through vibration induced saliency. An example permanent magnet synchronous machine (PMSM) includes a motor control system to provide input command to the motor to cause a position of the motor to change. The PMSM further includes a motor position estimation module configured to estimate the position of the motor. The estimation includes measuring a current Iabc across the motor. The estimation further includes extracting a filtered current Iabc_inj at a predetermined frequency from the current Iabc. The estimation further includes estimating the position of the motor based on the filtered current Iabc_inj.