Design Optimization of Electric Motors by Multiobjective Fuzzy Genetic Algorithms
نویسندگان
چکیده
منابع مشابه
Design Optimization of Electric Motors by Multiobjective Fuzzy Genetic Algorithms
This paper presents a multiobjective fuzzy genetic algorithm optimization approach to design the submersible induction motor with two objective functions: the full load torque and the manufacturing cost. A multiobjective fuzzy optimization problem is formulated and solved using a genetic algorithm. The optimally designed motor is compared with an industrial motor having the same ratings. The re...
متن کاملMultiobjective Robust Design by Genetic Algorithms
One key feature of Japanese products is that their design quality is robust—it remains unaffected by the deleterious impact of environmental or other factors often beyond the user’s control. As a result, designing and producing such high-quality products have become the challenge for all manufacturers aspiring to be world-class in today’s marketplace. This article shows how expressly crafted ge...
متن کاملMultiobjective Optimization Techniques for the Design of Induction Motors
This paper deals with the optimization problem of induction motor design. In order to tackle all the conflicting goals that define the problem, the use of multiobjective optimization is investigated. The numerical results show that the approach is viable.
متن کاملGenetic Algorithms for Multiobjective Controller Design
Multiobjective optimization strategy so-called Physical Programming allows controller designers a flexible way to express design preferences with a ’physical’ sense. For each objective (settling time, overshoot, disturbance rejection, etc.) preferences are established through categories as desirable, tolerable, unacceptable, etc. assigned to numerical ranges. The problem is translated into a un...
متن کاملMultiobjective fuzzy optimization method
1 Technical University of Cluj-Napoca Abstract -The paper proposes a new multiobjective optimization method, based on fuzzy techniques. The method performs a real multiobjective optimization, every parameter modification taking into account the unfulfillment degrees of all the requirements. It uses fuzzy sets to define fuzzy objectives and fuzzy systems to compute new parameter values. The stra...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical and Computational Applications
سال: 2008
ISSN: 2297-8747
DOI: 10.3390/mca13030153