Design optimization of PM couplings using hybrid Particle Swarm Optimization-Simplex Method (PSO-SM) Algorithm
•A PSO-SM optimization technique has been proposed to optimize the design of the PM coupling drive.•The coupling performance is predicted using a layer model approach that compared with FEA for validation.•The proposed PSO-SM technique is compared to other published techniques like PSO, and GA-SM.•T...
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| Published in | Electric power systems research Vol. 116; pp. 29 - 35 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.11.2014
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0378-7796 1873-2046 |
| DOI | 10.1016/j.epsr.2014.05.003 |
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| Abstract | •A PSO-SM optimization technique has been proposed to optimize the design of the PM coupling drive.•The coupling performance is predicted using a layer model approach that compared with FEA for validation.•The proposed PSO-SM technique is compared to other published techniques like PSO, and GA-SM.•The simulation showed that the proposed algorithm (PSO-SM) is the most efficient one.
The aim of this paper is to explore the use of the proposed hybrid Particle Swarm Optimization-Simplex Method (PSO-SM) algorithm to optimize the design of PM couplings subject to several key design constraints. The proposed hybrid optimization algorithm is constructed based on combining two well-known optimization techniques: Particle Swarm Optimization (PSO) and Simplex Method (SM). The PSO has obvious capabilities in global search while the SM has exceptional advantages in local search. As a hybrid algorithm, the PSO-SM has the outstanding feature of combining the ability of global searching and local canvassing. On the other hand, Permanent Magnet (PM) drive couplings are used in power transmission in a wide range of industrial applications. A standard coupling design is used as a good starting point for the conventional Simplex Method and to define the performance constraints for the proposed hybrid optimization algorithm. New coupling designs are developed and optimized to demonstrate the superior capabilities of PSO-SM algorithm as a global optimization technique. |
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| AbstractList | •A PSO-SM optimization technique has been proposed to optimize the design of the PM coupling drive.•The coupling performance is predicted using a layer model approach that compared with FEA for validation.•The proposed PSO-SM technique is compared to other published techniques like PSO, and GA-SM.•The simulation showed that the proposed algorithm (PSO-SM) is the most efficient one.
The aim of this paper is to explore the use of the proposed hybrid Particle Swarm Optimization-Simplex Method (PSO-SM) algorithm to optimize the design of PM couplings subject to several key design constraints. The proposed hybrid optimization algorithm is constructed based on combining two well-known optimization techniques: Particle Swarm Optimization (PSO) and Simplex Method (SM). The PSO has obvious capabilities in global search while the SM has exceptional advantages in local search. As a hybrid algorithm, the PSO-SM has the outstanding feature of combining the ability of global searching and local canvassing. On the other hand, Permanent Magnet (PM) drive couplings are used in power transmission in a wide range of industrial applications. A standard coupling design is used as a good starting point for the conventional Simplex Method and to define the performance constraints for the proposed hybrid optimization algorithm. New coupling designs are developed and optimized to demonstrate the superior capabilities of PSO-SM algorithm as a global optimization technique. |
| Author | El-Wakeel, Amged S. |
| Author_xml | – sequence: 1 givenname: Amged S. surname: El-Wakeel fullname: El-Wakeel, Amged S. email: A.S.El-Wakeel@ieee.org, dramgedelwakeel@gmail.com organization: Department of Electric Power and Energy, MTC, Cairo, Egypt |
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| Keywords | Simplex Method Hybrid optimization Techniques Particle Swarm Optimization Permanent Magnet Drive Coupling Performance evaluation Motor drives Industrial application Power transmission Global optimum Algorithm Particle swarm optimization Standards Magnetic coupling Simplex method Starting Permanent magnet machine Permanent magnet |
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| SubjectTerms | Applied sciences Electrical engineering. Electrical power engineering Electrical machines Exact sciences and technology Hybrid optimization Techniques Miscellaneous Particle Swarm Optimization Permanent Magnet Drive Coupling Regulation and control Simplex Method |
| Title | Design optimization of PM couplings using hybrid Particle Swarm Optimization-Simplex Method (PSO-SM) Algorithm |
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