Alireza Sahab
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Alireza Sahab has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
Chao Wu
School of Electronics and Information Engineering, Anhui Jianzhu University, Hefei, Anhui, People’s Republic of China
1 shared publicationHongkai Zhang
School of Electronics and Information Engineering, Anhui Jianzhu University, Hefei, Anhui, People’s Republic of China
1 shared publicationJie Hao
Xi’an Aeronautical University, Xi ‘An, Shaanxi, People’s Republic of China
1 shared publicationYang Li
School of Electronics and Information Engineering, Anhui Jianzhu University, Hefei, Anhui, People’s Republic of China
1 shared publication
Latest Publications
- Open Access
- 1 January 2019
- Published by Taylor & Francis in Systems Science & Control Engineering
- Vol. 7 (1) , 311-320
A novel LMI-based robust adaptive model predictive control for DFIG-based wind energy conversion system
In wind turbine systems, the optimal, effective and robust operation of the doubly fed induction generator (DFIG) is especially important. This paper presents a new robust adaptive control method for DFIG generator in a variety of operating conditions. First, an adaptive observer is used for parametric uncertainty, external disturbances and nonlinear terms effects estimation with reasonable assumptions. Then through obtained estimation and using the LMI method, the robust adaptive model predictive control controller is designed for DFIG dynamics and its robust stability is shown against the mentioned effects. Simulation results indicate that the proposed controller is capable to meet the required specifications for active and reactive power control of DFIG in different operating conditions.
- 1 January 2019
- Published by Taylor & Francis in Systems Science & Control Engineering
- Vol. 7 (1) , 311-320
Open AccessA novel LMI-based robust adaptive model predictive control for DFIG-based wind energy conversion system
In wind turbine systems, the optimal, effective and robust operation of the doubly fed induction generator (DFIG) is especially important. This paper presents a new robust adaptive control method for DFIG generator in a variety of operating conditions. First, an adaptive observer is used for parametric uncertainty, external disturbances and nonlinear terms effects estimation with reasonable assumptions. Then through obtained estimation and using the LMI method, the robust adaptive model predictive control controller is designed for DFIG dynamics and its robust stability is shown against the mentioned effects. Simulation results indicate that the proposed controller is capable to meet the required specifications for active and reactive power control of DFIG in different operating conditions.