Home/ Knowledge Hub

Low Cogging Torque Permanent Magnet Motor Design

Sep 30, 2026

Permanent Magnet Motor Engineering

Low Cogging Torque Permanent Magnet Motor Design

How slot-pole selection, magnet pole arc, skew, air-gap geometry and production tolerances work together to reduce no-current torque ripple.

BLDC & PMSMCogging TorqueMagnet OptimizationFEA & Prototype
Meta TitleLow Cogging Torque Permanent Magnet Motor Design
Meta DescriptionReduce cogging torque in BLDC and PMSM motors through slot-pole selection, pole-arc optimization, skew, tolerances and prototype validation.
SEO Keywordslow cogging torque motor, cogging torque reduction, magnet pole arc optimization, permanent magnet motor design

Low-speed smoothness begins before current is applied

Cogging torque is the position-dependent torque created by the interaction between permanent magnets and stator slotting when the windings are not energized. It can be felt as detent positions during manual rotation and may contribute to low-speed vibration, acoustic noise, speed ripple and difficult servo tuning.

Reducing cogging torque is not a single-dimension exercise. Slot and pole numbers determine harmonic order, while magnet pole arc, skew, tooth geometry, air-gap length and manufacturing variation determine amplitude and repeatability. A useful design balances smoothness with torque density, back EMF, efficiency, cost and manufacturability.

Primary SourceSlot permeance variation

Rotor magnets see changing magnetic reluctance as they pass stator teeth and slots.

Architecture LeverSlot-pole combination

The relationship between slot and pole counts shapes cogging order and periodicity.

Geometry LeverMagnet pole arc

Magnet coverage changes the harmonic content of air-gap flux.

Production RiskEccentricity and variation

Runout, magnet position and air-gap variation can erase simulation gains.

Rotor, stator and air-gap features that influence cogging

Common approaches to cogging torque reduction

Design Lever How It Helps Possible Tradeoff Manufacturing Consideration
Slot-pole combination Changes the number, order and phase relationship of cogging events per revolution Influences winding factor, end-turn length, electrical frequency and control strategy Must match lamination tooling and winding process capability
Magnet pole arc Adjusts spatial harmonics and alignment between magnet edges and slot openings Can reduce average torque or alter back EMF if over-optimized Requires consistent arc, width, position and adhesive gap
Rotor or stator skew Averages torque variation across axial positions May reduce fundamental torque and complicate axial force or end effects Raises lamination, magnet segmentation, stacking and inspection complexity
Tooth-tip shaping Smooths permeance change at the slot opening Can affect saturation, leakage, winding insertion and tooling strength Small dimensions demand robust stamping and burr control
Magnet edge shaping Redistributes local air-gap flux near leading and trailing edges May increase magnet machining cost and reduce usable volume Profile tolerance and orientation must be inspection-friendly
Air-gap adjustment A larger effective gap can reduce sensitivity to slotting harmonics Usually lowers torque density and can require more magnet material Housing, bearing and rotor runout must support the selected gap

Optimization note: The lowest simulated cogging torque is not automatically the best motor. Back EMF, torque, losses, demagnetization margin, noise, tolerance sensitivity and manufacturing cost must be reviewed together.

Why slot and pole counts matter

  • Periodicity: the least-common-multiple relationship between slots and poles influences cogging event count.
  • Phase cancellation: distributed interactions can partially cancel when geometry is selected well.
  • Winding factor: a favorable cogging combination must still produce useful fundamental torque.
  • Radial force modes: electromagnetic force order influences vibration and acoustic response.
  • Control interaction: cogging torque combines with current-related torque ripple and inverter harmonics.
  • Tolerance sensitivity: symmetry assumed in FEA can be broken by eccentricity or pole variation.

Qualitative sensitivity chain

Slot openingStrong influence
Pole arcStrong influence
EccentricityHigh risk
Skew angleDesign dependent
Magnet variationProduction dependent

The relative importance changes with topology. Sensitivity studies should vary several parameters around their production tolerance ranges.

Pole arc must be optimized, not guessed

01

Coverage ratio

Magnet arc relative to pole pitch changes both average air-gap flux and the harmonics interacting with slot openings.

02

Edge position

Small shifts in magnet edges relative to stator teeth can move cogging peaks and change cancellation.

03

Edge profile

Chamfers, tapers or profiled magnet thickness can soften local flux transitions when supported by analysis.

04

Segmentation

Segment gaps and angular accumulation must be modeled because they modify the effective pole shape.

Select skew according to electromagnetic benefit and buildability

Skew Method Typical Application Advantages Production Risks
Continuous lamination skew Stator or rotor stacks designed for a smooth axial offset Effective averaging of slot interaction along stack length Complex tooling or stacking, axial geometry control and winding difficulty
Discrete step skew Rotor stacks or magnet groups divided into axial steps Approximates continuous skew with defined manufacturing increments Angular indexing, accumulated tolerance and step-to-step magnetic variation
Magnet-only skew Surface-mounted rotors where magnet placement creates the offset Avoids skewing the lamination stack Complex fixtures, variable end overhang and bondline control
Tooth or slot skew Stator-focused designs where rotor geometry should remain straight Can reduce cogging while preserving magnet assembly simplicity Stamping, stacking and winding process complexity
No skew Designs achieving targets through slot-pole and profile optimization Simpler parts, assembly, inspection and axial alignment Less averaging of slotting harmonics and greater tolerance sensitivity

From requirements to a production-capable low-cogging motor

01Define targetsCogging, loaded ripple, speed stability, acoustic limits, torque and efficiency.
02Screen architectureSlot-pole combinations, winding factor, electrical frequency and package limits.
03Optimize geometryPole arc, slot opening, tooth tip, skew, magnet profile and air gap.
04Apply tolerancesEccentricity, runout, magnet position, remanence spread and stack variation.
05Build & correlatePrototype measurement, waveform comparison and model update before release.

Production variation can dominate a highly optimized nominal design

Rotor eccentricity

Bearing fits, shaft runout and rotor concentricity create unequal air gap and asymmetric radial forces.

Magnet angle

Pole-to-pole angular error disrupts harmonic cancellation and changes local flux waveform.

Magnet strength

Remanence variation and magnetization differences can create pole imbalance.

Stack alignment

Lamination rotation, skew-step error and stack squareness affect the effective slot geometry.

Slot opening variation

Tool wear, burrs and coating buildup can change local tooth-tip dimensions.

Assembly deformation

Press fits, sleeves, welding and resin cure may shift runout or distort the air gap.

Separate cogging torque from other torque disturbances

Test Purpose Key Control Useful Result
Slow rotation, unpowered Measure position-dependent cogging waveform Low-friction fixture, stable angular speed and adequate encoder resolution Peak-to-peak torque and harmonic spectrum
Back-EMF test Check magnetic symmetry and waveform quality Controlled speed, phase measurement and temperature Amplitude, phase balance and harmonic content
Air-gap or runout inspection Identify mechanical asymmetry Datum strategy, bearing condition and full-revolution measurement Eccentricity map correlated to torque order
Loaded torque-ripple test Evaluate combined cogging, commutation and current harmonics Controller settings, current bandwidth and operating point Total torque ripple under representative load
Noise and vibration test Confirm system-level response to electromagnetic force Mounting, speed sweep, sensor position and background noise Order map and structural resonance correlation

Applications where low cogging torque matters most

Servo motors

Position accuracy and low-speed velocity control expose small periodic torque disturbances.

Robotics joints

Smooth backdrivability and quiet motion require low detent torque and controlled ripple.

Gimbals and scanners

Fine angular motion can be disturbed by repeatable magnetic torque peaks.

Direct-drive systems

Without gearbox reduction, motor torque ripple reaches the load more directly.

Information needed for a cogging torque optimization review

Motor geometry2D/3D data, slot and pole count, stack length, air gap, slot opening and rotor topology.
Performance targetsCogging limit, loaded ripple, rated torque, speed range, back EMF and efficiency.
Magnet definitionMaterial, grade, pole arc, thickness, segmentation, magnetization and tolerance.
Winding and controlWinding layout, phase current, commutation method, PWM and control bandwidth.
Mechanical tolerancesRotor runout, bearing fits, housing concentricity, stack alignment and balance requirement.
Validation dataExisting cogging waveform, back EMF, vibration orders, prototype history and failure concerns.

Low cogging torque motor questions

Is cogging torque the same as torque ripple?

No. Cogging torque exists without phase current and comes from magnet-slot interaction. Loaded torque ripple also includes current waveform, commutation, saturation, inverter harmonics and control effects.

Does a larger air gap always reduce cogging torque?

A larger gap often reduces sensitivity to slotting, but it also lowers air-gap flux and torque density. The resulting magnet volume, current demand, losses and package size must be evaluated.

Can skew eliminate cogging torque?

Skew can reduce selected harmonics by axial averaging, but it rarely removes every source. It can also reduce useful torque and increase manufacturing complexity, so the amount and method should be optimized.

Why is measured cogging higher than FEA prediction?

Common causes include rotor eccentricity, magnet position error, remanence variation, manufacturing tolerances, unmodeled end effects, bearing friction and measurement setup limitations.

Can Vanguard support motor geometry optimization?

Yes. Support can include topology screening, electromagnetic FEA, magnet and lamination DFM, prototype components, rotor-stator assembly coordination and test correlation.

Reduce cogging torque without sacrificing torque density or manufacturability

Send your motor geometry, performance targets and current test data for an electromagnetic and manufacturing review.

Request a Cogging Torque Review
0
Comments
Leave a Comment
Your email address will not be published. Required fields are marked *
Name can't be empty
Email error!
Message can't be empty
😍
😜
😳
😌
😄
😘
😝
😒
😃
😚
😚
😛
😟
😧
😀
😉
😓
😱
😤
😣
😂
😥
😩
😠
😢
😭
😰
😨
😡
😆
😪
😅
😐
😇
😋
😴
👿
😕
😏
😷
😵
😟
😮
😯
😑
👧
👴
😧
😬
😾
👶
👱
👵
👸
🙀
👺
👦
👩
👨
😽
😿
🙈
💩
💥
💤
😼
😹
🙉
🔥
✨
💦
👎
✌
👆
👈
💪
💹
👍
👊
💴
💶
💷
💸
👉
💵
🙏
🌎
🏧
👏
💳
👇
💑
🙆
🙅
💁
👫
👭
🙎
🙇
👑
👔
Submit Comment
Set A Consultation Today
Name can't be empty
Email error!
Send Your Message
*We respect your confidentiality and all information are protected.
Contact Us Now
Name can't be empty
Email error!
Message can't be empty
Send Message