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Blending algorithm for position control with a hybrid actuator made of DC servomotor and brake

Berk Gonenc (School of Engineering and Computer Science, Washington State University, Vancouver, Washington, USA)
Hakan Gurocak (School of Engineering and Computer Science, Washington State University, Vancouver, Washington, USA)

Industrial Robot

ISSN: 0143-991x

Article publication date: 23 August 2011

Abstract

Purpose

This paper aims to present a hybrid actuator controller to obtain fast and stiff position response without any overshoot by blending input signals of a DC servomotor and a particle brake.

Design/methodology/approach

The hybrid actuator controller has a module to estimate instantaneous changes in inertia and a blending algorithm that adjusts input signals to the motor and the brake so that together, as a hybrid actuator, they can achieve a fast, stiff position response without overshoot. The control logic implemented in the controller is derived from the kinematics of the system. For the blending algorithm, two separate cases are explored in which the user has the option to either utilize the full‐braking capacity or specify a safe deceleration limit for the system.

Findings

The blending algorithm enables the system to operate nearly twice as fast as the motor‐only case without any overshoot or oscillations. The controller can reject inertial load changes and significant external disturbances.

Originality/value

Such hybrid actuators along with the developed controller can be used in robotics and automation to increase the system accuracy and operational speed resulting in higher production rates. In addition, much stiffer haptic force feedback interfaces for virtual reality applications can be designed with smaller actuators. The blending algorithm provides considerable improvements and uses a physics‐based simple and easy‐to‐implement structure.

Keywords

Citation

Gonenc, B. and Gurocak, H. (2011), "Blending algorithm for position control with a hybrid actuator made of DC servomotor and brake", Industrial Robot, Vol. 38 No. 5, pp. 492-499. https://doi.org/10.1108/01439911111154063

Publisher

:

Emerald Group Publishing Limited

Copyright © 2011, Emerald Group Publishing Limited