Adaptive Horizon Model Predictive Control with Equivalent-Input-Disturbance for Vibration Suppression
Abstract
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.
Fields of Study & Subjects
Control Systems in Engineering
Advanced Control Systems Optimization
Control Systems and Identification
Publication details
- Journal / source
- Journal of Advanced Computational Intelligence and Intelligent Informatics
- Publisher
- Fuji Technology Press Ltd.
- Volume
- 30
- Issue
- 1
- Pages
- 176–183
- Publication date
- 19 January 2026
- Language
- EN