Document Type
Article
Publication Date
3-2013
Publication Title
Asian Journal of Control
Abstract
This study concerns the resonance problems found in motion control, typically described in a two‐inertia system model as compliance between the motor and the load. We reformulate the problem in the framework of active disturbance rejection control (ADRC), where the resonance is assumed to be unknown and treated as disturbance, estimated and mitigated. This allows the closed‐loop bandwidth to go well beyond the resonant frequency, which is quite difficult using existing methods. In addition, such level of performance is achieved with minimum complexity in the controller design and tuning: no parameter estimation or adaptive algorithm is needed, and the controller is tuned by adjusting one parameter, namely, the bandwidth of the control loop. It is also shown that the proposed solution applies to both the velocity and position control problems, and the fact that ADRC offers an effective and practical motion control solution, in the presence of unknown resonant frequency within the bandwidth of the control system. Finally, frequency response analysis is performed where stability margin is obtained before the simulation results are verified in the hardware experiments.
Repository Citation
Zhao, Shen and Gao, Zhiqiang, "An Active Disturbance Rejection Based Approach to Vibration Suppression in Two‐Inertia Systems" (2013). Electrical and Computer Engineering Faculty Publications. 438.
https://engagedscholarship.csuohio.edu/enece_facpub/438
DOI
10.1002/asjc.552
Version
Postprint
Publisher's Statement
This is the accepted version of the following article: S. Zhao and Z. Gao, "An Active Disturbance Rejection Based Approach to Vibration Suppression in Two-Inertia Systems," Asian Journal of Control, vol. 15, no. 2, pp. 350-362, 2013/03/01 2013. doi:10.1002/asjc.552, which has been published in final form at https://onlinelibrary.wiley.com/doi/10.1002/asjc.552
Volume
15
Issue
2
Comments
An earlier version of this paper was presented at American Control Conference, June 30–July 02, 2010, Baltimore, USA.