Closed-Loop Quantification and Compensation of Friction in an Inverted Pendulum

In this paper, different approaches for friction estimation and compensation in an inverted pendulum are compared. The Coulomb, static, and viscous frictions are estimated using data only from a closed-loop operation. A control law using linear state feedback is designed to stabilize the pendulum, b...

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Bibliographic Details
Published in:Journal of control, automation & electrical systems automation & electrical systems, 2013-12, Vol.24 (6), p.794-805
Main Authors: Teixeira, Hugo Tanzarella, de Mattos Siqueira, Victor Semedo, Munaro, Celso José
Format: Article
Language:English
Subjects:
Control
Control and Systems Theory
Electrical Engineering
Engineering
Mechatronics
Robotics
Robotics and Automation
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Summary:In this paper, different approaches for friction estimation and compensation in an inverted pendulum are compared. The Coulomb, static, and viscous frictions are estimated using data only from a closed-loop operation. A control law using linear state feedback is designed to stabilize the pendulum, but limit cycles appear due to friction. Methods based on fitting an ellipse to the input–output plot and using least squares with the Karnopp friction model are employed to estimate the friction parameters to be used with the friction models considered. The values are then compared to those obtained in open-loop tests, obtained via application of a ramp of current to the motor of the cart. Friction compensation is carried out using the friction values in two strategies: model based compensation using the Karnopp and LuGre friction models and non-model based compensation using the knocker and constant reinforcement techniques. While model-based methods use the sign of the velocity to change the sign of the compensation, the non-model- based methods use the sign of the control signal for this decision, with an anticipatory action. Both strategies are compared through their application to a simulation model and to a real inverted pendulum, using the IAE and variance of position and angle for performance measurement. This comparison and the analysis about the difficulty for estimating the parameters to be used for each compensation indicate the best scheme for estimation and compensation method to be used for this benchmark.
ISSN:2195-3880
2195-3899
DOI:10.1007/s40313-013-0073-7