Robotics: Science and Systems X

Cogging Torque Ripple Minimization via Position Based Characterization

Matthew Piccoli, Mark Yim


Smooth motion is critical to some robotic applications such as haptics or those requiring high precision force control. These systems are often direct-drive, so any torque ripple in the motor output must be minimal. Unfortunately, low inherent torque ripple motors are expensive. Low cost brushless DC motors are becoming more prevalent, especially from the hobby RC community. These motors often have the required high torque density; however, they also have significant torque ripple. This paper presents a system that is low cost using a method for anticogging - the compensation of cogging torque in low cost, high torque motors. While other methods exist to compensate for current-based torque ripple (mutual or reluctance torque), none have addressed cogging torque, except by adding expensive force sensors. This paper presents two methods that use a position sensor (already present for servo motors) to map cogging torque to rotor position. The map is played back according to position reported from the sensor to cancel the cogging torque. The design and testing of a low cost haptic arm using anticogging shows validation; however, the approach is much broader, and can be applied to any precision force application. Test results on eleven different motors show an average removal of 69% of torque ripple with no added cost in robotic servo applications.



    AUTHOR    = {Matthew Piccoli AND Mark Yim}, 
    TITLE     = {Cogging Torque Ripple Minimization via Position Based Characterization}, 
    BOOKTITLE = {Proceedings of Robotics: Science and Systems}, 
    YEAR      = {2014}, 
    ADDRESS   = {Berkeley, USA}, 
    MONTH     = {July},
    DOI       = {10.15607/RSS.2014.X.042}