Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2020.1814601
A new robust LMI-based model predictive control for continuous-time uncertain nonlinear systems
Luo Huofa
; School of Marxism, Jiaxing University, Jiaxing Zhejiang, People’s Republic of China
Hashem Imani Marrani
; Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran
Sažetak
This paper presents a new robust predictive controller for a special class of continuous-time non-linear systems with uncertainty. These systems have bounded disturbances with unknown upper bound as well as constraints on input states. The controller is designed in the form of an optimization problem of the ‘worst-case’ objective function over an infinite moving horizon. Through this objective function, constraints and uncertainties can be applied explicitly on the
controller design, which guarantees the system stability. Next, LMI tool is used to improve the calculation time and complexity. To do this, in order to find the optimum gain for state-feedback, the optimization problem is solved using LMI method in each time step. Finally, to show the efficiency and effectiveness of the proposed algorithm, a surge phenomenon avoidance problem in centrifugal compressors is solved.
Ključne riječi
Robust model predictive control; LMI; surge; centrifugal compressors
Hrčak ID:
258405
URI
Datum izdavanja:
23.9.2020.
Posjeta: 431 *