OPTIMIZATION OF DESIGN PARAMETERS FOR A VARIABLE FREQUENCY 3-PHASE INDUCTION MOTOR

This report describes the method of optimizing a variable frequency 3-phase Induction
Motor. The objective of this project is to come up with a final design of a 3-phase induction
motor that is optimum in weight and cost and maximum in efficiency (weight and cost) without
violating the constraints provided. The design of induction motor chosen for this purpose is a
squirrel cage design motor as it is more robust and is widely used in the industry. C-language is
used to describe the design of the machine. The machine design mainly involves non linear
equations such as the magnetizing current flows and motor losses . The objective function
achieved from the design are cost, efficiency and weight. The optimization technique used to
optimize this objective functions is Genetic Algorithm (GA) which is a Non -Linear
Programming technique. Twelve (12) design variables are identified and used in the design
process. The objective of this project is to come up with the optimized variable which produces
the highest motor efficiency, minimum weight and cost. The results of the optimized values will
be compared with the values obtained before optimizing. The comparison is shown in scatter line
graph. The final design obtained is the improved the improved version of the design parameters
compared with the one used as the input to the optimizing program.