A new inverter drive for position control of brushless motors

Cogging Torque Reduction in Brushless Motors by a Nonlinear Control Technique

Energies ◽

10.3390/en12112224 ◽

2019 ◽

Vol 12 (11) ◽

pp. 2224 ◽

Cited By ~ 8

Author(s):

Pierpaolo Dini ◽

Sergio Saponara

Keyword(s):

Permanent Magnet ◽

Electric Drive ◽

Feedback Linearization ◽

Permanent Magnets ◽

Position Control ◽

Angular Position ◽

Control Technique ◽

Electrical Machine ◽

Brushless Motors ◽

Cogging Torque

This work addresses the problem of mitigating the effects of the cogging torque in permanent magnet synchronous motors, particularly brushless motors, which is a main issue in precision electric drive applications. In this work, a method for mitigating the effects of the cogging torque is proposed, based on the use of a nonlinear automatic control technique known as feedback linearization that is ideal for underactuated dynamic systems. The aim of this work is to present an alternative to classic solutions based on the physical modification of the electrical machine to try to suppress the natural interaction between the permanent magnets and the teeth of the stator slots. Such modifications of electric machines are often expensive because they require customized procedures, while the proposed method does not require any modification of the electric drive. With respect to other algorithmic-based solutions for cogging torque reduction, the proposed control technique is scalable to different motor parameters, deterministic, and robust, and hence easy to use and verify for safety-critical applications. As an application case example, the work reports the reduction of the oscillations for the angular position control of a permanent magnet synchronous motor vs. classic PI (proportional-integrative) cascaded control. Moreover, the proposed algorithm is suitable to be implemented in low-cost embedded control units.

Download Full-text

A new Technique for Position Control of Induction Motor Using Adaptive Inverse Control

Iraqi Journal for Electrical And Electronic Engineering ◽

10.33762/eeej.2010.54880 ◽

2010 ◽

Vol 6 (2) ◽

pp. 116-122

Author(s):

Aamir Hashim Obeid Ahmed ◽

Martino O. Ajangnay ◽

Shamboul A. Mohamed ◽

Matthew W. Dunnigan

Keyword(s):

Induction Motor ◽

Position Control ◽

New Technique ◽

Adaptive Inverse Control ◽

Inverse Control ◽

A New Technique

Download Full-text

Embedded System for Front Differential Drive of Rotational and Translational Vehicle Position Control

International Review of Automatic Control (IREACO) ◽

10.15866/ireaco.v10i4.11802 ◽

2017 ◽

Vol 10 (4) ◽

pp. 325

Author(s):

Angie Julieth Valencia Castañeda ◽

Mauricio Felipe Mauledoux Monroy ◽

Oscar Fernando Avilés Sánchez ◽

Paola Andrea Niño Suarez ◽

Edgar Alfredo Portilla Flores

Keyword(s):

Embedded System ◽

Position Control ◽

Differential Drive ◽

Vehicle Position

Download Full-text

Precision position control of ionic polymer metal composite

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1383693 ◽

2004 ◽

Cited By ~ 5

Author(s):

N.D. Bhat ◽

Won-jong Kim

Keyword(s):

Position Control ◽

Metal Composite ◽

Ionic Polymer Metal Composite ◽

Ionic Polymer ◽

Polymer Metal

Download Full-text

Position control of planar three-link underactuated manipulator based on wavelet neural network model

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189192 ◽

2020 ◽

Author(s):

Yawu Wang ◽

Huiqing Yang ◽

Pan Zhang

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Position Control ◽

Wavelet Neural Network ◽

Underactuated Manipulator

Download Full-text

Controllable Compliance Joint For Human Oriented Robots

Journal of Theoretical and Applied Mechanics ◽

10.2478/jtam-2013-0005 ◽

2013 ◽

Vol 43 (1) ◽

pp. 47-60

Author(s):

Mihail Tsveov ◽

Dimitar Chakarov

Keyword(s):

Numerical Experiments ◽

Position Control ◽

Joint Stiffness ◽

Joint Motion ◽

Compliance Control ◽

Leaf Springs ◽

Antagonistic Actuation

Abstract In the paper, different approaches for compliance control for human oriented robots are revealed. The approaches based on the non- antagonistic and antagonistic actuation are compared. In addition, an approach is investigated in this work for the compliance and the position control in the joint by means of antagonistic actuation. It is based on the capability of the joint with torsion leaf springs to adjust its stiffness. Models of joint stiffness are presented in this paper with antagonistic and non-antagonistic influence of the spring forces on the joint motion. The stiffness and the position control possibilities are investigated and the opportunity for their decoupling as well. Some results of numerical experiments are presented in the paper too.

Download Full-text