Adaptive Horizon Model Predictive Control with Equivalent-Input-Disturbance for Vibration Suppression
This paper presents a vibration suppression method for two-inertia mechanical transmission systems, combining adaptive horizon model predictive control (AHMPC) with the equivalent-input-disturbance (EID) approach. First, conventional model predictive control (MPC) is extended to an adaptive horizon formulation to reduce computational cost while effectively attenuating vibrations. Second, a quadratic-programming-based method is designed to efficiently solve the AHMPC optimization problem. Third, the EID approach is integrated to compensate for external disturbances. Finally, simulation studies on a two-inertia system demonstrate the effectiveness of the proposed method in achieving significant vibration suppression.
Authors
- Ruoyu Jiang
- Jinhua She
- Xiang Yin
- Seiichi Kawata
Institutions
- North China University of Technology (CN)
- Tokyo University of Technology (JP)
- China University of Geosciences (CN)
- Shandong Institute of Automation (CN)
Publication Details
- Journal
- Journal of Advanced Computational Intelligence and Intelligent Informatics
- Published
- 2026-01-19
- DOI
- https://doi.org/10.20965/jaciii.2026.p0176
- Primary Topic
- Control Systems in Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00