Progressive design methodology for complex engineering systems based on multiobjective genetic algorithms and linguistic decision making

Progressive design methodology for complex engineering systems based on multiobjective genetic algorithms and linguistic decision making

Kumar, P.
Bauer, P.

Electrical Engineering, Mathematics and Computer Science

Electrical Sustainable Energy

2008-09-24

This work focuses on a design methodology that aids in design and development of complex engineering systems. This design methodology consists of simulation, optimization and decision making. Within this work a framework is presented in which modelling, multi-objective optimization and multi criteria decision making techniques are used to design an engineering system. Due to the complexity of the designed system a three-step design process is suggested. In the first step multi-objective optimization using genetic algorithm is used. In the second step a multi attribute decision making process based on linguistic variables is suggested in order to facilitate the designer to express the preferences. In the last step the fine tuning of selected few variants are performed. This methodology is named as progressive design methodology. The method is applied as a case study to design a permanent magnet brushless DC motor drive and the results are compared with experimental values.

BLDC motors
PDM
Voltage source inverter
Genetic algorithms
Linguistic variables
Multi attribute decision making
Multi-objective optimization (MOOP)

http://resolver.tudelft.nl/uuid:8df50036-b0ab-42a2-ae0a-32dede396f76

https://doi.org/10.1007/s00500-008-0371-3

Springer

1433-7479

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 13 (7), 2009

Institutional Repository

journal article

(c) 2008 The Authors