Optimization procedures in design of electrical machines
Data is displayed for academic year: 2023./2024.
Lecturers
Course Description
Electrical machine design as a multiphysical problem. Introduction to optimization of electrical machines: review of optimisation algorithms, typical variables and variable boundaries, constraints, objective functions, Pareto front. Design of experiments and sensitivity analysis in electrical machine design. Application of meta-models: response surface method, Kriging method. Computationally efficient optimization based on finite element method calculations.
Study Programmes
Postgraduate doctoral study programme
Literature
Gang Lei, Jianguo Zhu, Youguang Guo (2016.), Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems, Springer
Marius Rosu, Ping Zhou, Dingsheng Lin, Dan M. Ionel, Mircea Popescu, Frede Blaabjerg, Vandana Rallabandi, David Staton (2017.), Multiphysics Simulation by Design for Electrical Machines, Power Electronics and Drives, Wiley-IEEE Press
Mohammad Fathi, Hassan Bevrani (2019.), Optimization in Electrical Engineering, Springer
For students
General
ID 215095
Winter semester
6 ECTS
L1 English Level