Sensorless PMSM Locked Rotor Detection via BEMF Observer

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Solution Overview

Problem

Existing sensorless motor control techniques for permanent magnet synchronous motors (PMSM) face challenges in detecting a locked or stalled rotor condition, which poses safety concerns and is difficult to implement effectively, especially in applications where sensor usage is limited or not feasible.

Innovation Solution

A method and apparatus for detecting a locked rotor condition in a sensorless PMSM using a BEMF observer system to generate estimated BEMF and speed quantities, implementing a sensorless field-oriented control algorithm with a BEMF error threshold and filtered difference values to detect faults without the need for physical sensors, allowing for remote processing and compliance with safety standards.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If sensorless motor control techniques are used to eliminate physical sensors, then device complexity and cost are reduced, but the ability to detect locked rotor conditions is lost

Engineering Contradiction:
Improvedevice complexityVSAvoidlocked rotor detection capability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent introduces an intermediary computational mechanism (BEMF observer and field-oriented control algorithm) that mediates between the available electrical measurements and the desired locked rotor detection function. The BEMF observer estimates back-EMF voltages from current and voltage measurements, and the FOC algorithm processes these estimates to detect rotor lock conditions, serving as an intermediary layer that enables detection without physical sensors.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the mechanical/sensor-based detection system with an electronic/computational system. Instead of using physical sensors to directly measure rotor position and detect locks, the system substitutes a computational model (BEMF observer) that mathematically estimates rotor behavior from electrical parameters, thereby eliminating mechanical contact points while maintaining detection capability.

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

2Reliability

If sensors are added to detect locked rotor conditions, then safety and reliability are improved, but device complexity and cost increase

Engineering Contradiction:
Improvelocked rotor detection capabilityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent makes the existing motor control system universal by enabling it to perform multiple functions: standard motor control operation and locked rotor detection. The BEMF observer and FOC algorithm serve dual purposes - they are integral to normal sensorless control operation and simultaneously provide locked rotor detection capability, eliminating the need for separate dedicated detection hardware.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The motor control system performs self-diagnosis by using its own operational data (current and voltage measurements) to detect locked rotor conditions. The BEMF observer leverages the same electrical measurements already taken for control purposes to generate BEMF estimates that reveal rotor lock status, allowing the system to monitor its own health without external assistance or additional sensors.

Inventive Principle:
Principle #25Self-service

3Ease of manufacture

If existing sensorless control algorithms are used, then implementation is simplified, but safety standards compliance becomes difficult

Engineering Contradiction:
Improveimplementation simplicityVSAvoidsafety standards compliance
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The patent implements preliminary detection of locked rotor conditions by continuously monitoring BEMF estimates during normal operation. The system proactively identifies rotor lock before it causes damage or safety issues, allowing preventive action to be taken. This preliminary detection is integrated into the existing control loop without requiring separate safety circuits.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements a feedback mechanism where the BEMF observer continuously estimates rotor behavior and feeds this information back to the control algorithm. The FOC algorithm uses this feedback to detect anomalies indicating locked rotor conditions, creating a closed-loop safety monitoring system that works seamlessly with the existing sensorless control architecture.

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

The solution enables reliable and efficient detection of locked rotor conditions, enhancing safety protection in motor operations and aligning with safety standards without the need for additional sensors, thus addressing the limitations of existing sensorless control methods.

Implementation Method 1

one position-indicating arrangement is to detect the potential or electromotive force (EMF) generated in the windings which gives rise to secondary magnetic field that opposes the original change in magnetic flux driving the motor's rotation. In resisting the motor's natural movement, the EMF is referred to as a 'back' EMF.

Methodology Applied
Scientific EffectBack electromotive force (BEMF): Electromagnetic Induction

Data Source

PatentEP3185411B1Method and apparatus for motor lock or stall detection
Publication Date: 2020.08.05 NXP USA INC
  • EP3185411B1 patent drawingFigure 1
  • EP3185411B1 patent drawingFigure 2
  • EP3185411B1 patent drawingFigure 3~4

AI summary

A method and apparatus are provided for detecting a rotor lock condition in a sensorless permanent magnet synchronous motor. A BEMF observer determines an estimated rotor speed ω̂ and a first BEMF voltage value in an estimated rotor-related γ,δ reference frame. In addition, a second estimated BEMF voltage value is calculated in a rotor-related d,q reference frame based on at least a first motor constant and an estimated rotor speed ω̂. After generating a BEMF error filter value from the first and second estimated BEMF voltage values and calculating a BEMF error threshold value as a function of the estimated rotor speed ω̂ that is subject to a minimum threshold BEMF value, a rotor lock condition is detected based on at least the BEMF error filter value and the BEMF error threshold value.