Adaptive TS fuzzy MPC based on Particle Swarm Optimization-Cuckoo Search algorithm. (December 2022)
- Record Type:
- Journal Article
- Title:
- Adaptive TS fuzzy MPC based on Particle Swarm Optimization-Cuckoo Search algorithm. (December 2022)
- Main Title:
- Adaptive TS fuzzy MPC based on Particle Swarm Optimization-Cuckoo Search algorithm
- Authors:
- Taieb, Adel
Salhi, Hichem
Chaari, Abdelkader - Abstract:
- Abstract: A novel technique to building an adaptable fuzzy model predictive control (AFMPC) is suggested in this study, based on the algorithm Particle Swarm Optimization-Cuckoo Search (PSOCS). This technique combines the particle swarm optimization (PSO) algorithm's iterative scheme with the Cuckoo Search (CS) algorithm's searching approach. To identify the system parameters at each time step, an on-line adaptive fuzzy identification is used. Based on a predictive technique, these factors are utilized to generate the goal function. The PSOCS method is then used to solve the optimization issue and select the best control signal. The suggested controller's utility is demonstrated using an experimental communicating three-tank system, in which the proposed approach-based PSOCS algorithm outperforms both the approach-based CS and the approach-based PSO algorithms. Highlights: Formulate a PSOCS algorithm and analyzes its performance by numerical computing. The PSOCS is applied to calculate the predictive control of a nonlinear system. The PSOCS is able to handle a nonlinear system manipulated under hard constraints. The WRLS is used to adapt the consequent parameters in a recursive way.
- Is Part Of:
- ISA transactions. Volume 131(2022)
- Journal:
- ISA transactions
- Issue:
- Volume 131(2022)
- Issue Display:
- Volume 131, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 131
- Issue:
- 2022
- Issue Sort Value:
- 2022-0131-2022-0000
- Page Start:
- 598
- Page End:
- 609
- Publication Date:
- 2022-12
- Subjects:
- Adaptive Model Predictive Control -- Takagi–Sugeno -- Cuckoo Search -- Particle Swarm Optimization -- Nonlinear system
Engineering instruments -- Periodicals
Engineering instruments
Periodicals
Electronic journals
629.805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00190578 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.isatra.2022.05.018 ↗
- Languages:
- English
- ISSNs:
- 0019-0578
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4582.700000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24630.xml