Performance improvement by optimal reset dynamic output feedback control based on model predictive strategy. (April 2020)
- Record Type:
- Journal Article
- Title:
- Performance improvement by optimal reset dynamic output feedback control based on model predictive strategy. (April 2020)
- Main Title:
- Performance improvement by optimal reset dynamic output feedback control based on model predictive strategy
- Authors:
- Yazdi, Sepide
Khayatian, Alireza - Abstract:
- Highlights: A systematic approach for designing a reset dynamic output feedback controller is presented. The D-stability approach is used to design a DOFC for the base system. The after reset value at each reset time is designed by solving an optimization problem based on model prediction strategy. The best times for resetting action are derived by genetic algorithm based on minimizing a multivariable cost function which contains certain transient performances. The merits of the proposed controller are demonstrated by applying it on a continuous stirred tank reactor and a distillation column. Abstract: This paper proposes a systematic approach for designing a reset dynamic output feedback controller (DOFC). The reset controller is designed in three steps. First, the D-stability approach is used to design the gain matrices of the DOFC for the base system such that the poles of the closed-loop system are placed in a predefined region. This region is chosen based on the control objectives. Moreover, the sufficient conditions for existence of base controller are formulated in terms of linear matrix inequalities. Second, the reset times are derived by applying genetic algorithm to minimize a novel cost function of certain transient performances. Third, an optimization problem based on model prediction strategy is solved for finding the after reset value at each reset time. The proposed method is applied to two different systems: continuous stirred tank reactor and distillationHighlights: A systematic approach for designing a reset dynamic output feedback controller is presented. The D-stability approach is used to design a DOFC for the base system. The after reset value at each reset time is designed by solving an optimization problem based on model prediction strategy. The best times for resetting action are derived by genetic algorithm based on minimizing a multivariable cost function which contains certain transient performances. The merits of the proposed controller are demonstrated by applying it on a continuous stirred tank reactor and a distillation column. Abstract: This paper proposes a systematic approach for designing a reset dynamic output feedback controller (DOFC). The reset controller is designed in three steps. First, the D-stability approach is used to design the gain matrices of the DOFC for the base system such that the poles of the closed-loop system are placed in a predefined region. This region is chosen based on the control objectives. Moreover, the sufficient conditions for existence of base controller are formulated in terms of linear matrix inequalities. Second, the reset times are derived by applying genetic algorithm to minimize a novel cost function of certain transient performances. Third, an optimization problem based on model prediction strategy is solved for finding the after reset value at each reset time. The proposed method is applied to two different systems: continuous stirred tank reactor and distillation column. The effectiveness of the proposed reset controller is shown by comparing the results with other approaches. … (more)
- Is Part Of:
- Journal of process control. Volume 88(2020)
- Journal:
- Journal of process control
- Issue:
- Volume 88(2020)
- Issue Display:
- Volume 88, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 88
- Issue:
- 2020
- Issue Sort Value:
- 2020-0088-2020-0000
- Page Start:
- 78
- Page End:
- 85
- Publication Date:
- 2020-04
- Subjects:
- Reset control -- Dynamic output feedback controller -- Linear matrix inequality (LMI) -- Genetic algorithm (GA) -- Continuous stirred tank reactor (CSTR) -- Distillation column
Process control -- Periodicals
Fabrication -- Contrôle -- Périodiques
Process control
Periodicals
Electronic journals
660.281 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09591524 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jprocont.2020.02.008 ↗
- Languages:
- English
- ISSNs:
- 0959-1524
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5042.645000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13454.xml