Disturbance‐Observer‐Based Tube Model Predictive Control for Constrained Systems
Zhejiang Normal University · Shenyang Aluminum & Magnesium Engineering & Research Institute (China) · +2 more institutions
Abstract
ABSTRACT This paper proposes a disturbance‐observer‐based tube model predictive control (DTMPC) strategy to address the regulation problem of continuous‐time linear systems with additive bounded disturbances. The strategy integrates two elements: disturbance compensation and optimal control inputs. The former is designed using the estimation information from the disturbance observer to actively compensate for disturbances. The latter employs the estimation error bound to calculate the disturbance invariant set, which is then incorporated into the DTMPC design to determine the optimal control input. By compensating for the disturbances, the system's uncertainty and steady‐state error are minimized. As the…
Citation impact
- FWCI
- 88.23
- Percentile
- 100%
- References
- 88
Authors
7- YJYonghua Jiang
Zhejiang Normal University, Shenyang Aluminum & Magnesium Engineering & Research Institute (China), Xingzhi College Zhejiang Normal University
- JXJiali Xu
Zhejiang Normal University
- SLSiyu LiuCorresponding
Zhejiang Normal University, Wuhan Donghu University, Xingzhi College Zhejiang Normal University
- ZPZhichao Pan
Zhejiang Normal University
- HJHongkui JiangCorresponding
Zhejiang Normal University, Xingzhi College Zhejiang Normal University
Topics & keywords
- Control theory (sociology)
- Model predictive control
- Bounded function
- Stability (learning theory)
- Observer (physics)
- Compensation (psychology)
- Upper and lower bounds
- Invariant (physics)