Page 1005 - The Mechatronics Handbook

34

Design Optimization

of Mechatronic Systems

34.1 Introduction
34.2 Optimization Methods
Principles of Optimization • Parametric
Optimization • General Aspects of the Optimization
Process • Types of Optimization Methods • Selection of a
Suitable Optimization Method
Tomas Brezina
34.3 Optimum Design of Induction Motor (IM)
Technical University of Brno
IM Design Introduction • Classical IM Design
Ctirad Kratochvil Evaluation • Description of a Solved Problem • Achieved
Results
Technical University of Brno
34.4 The Use of a Neuron Network for the Identification of
Cestmir Ondrusek the Parameters of a Mechanical Dynamic System
Technical University of Brno Practical Application
34.1 Introduction

Electromechanical systems form an integral part of mechanical and mechatronic systems. Their optimi-
zation is a necessary condition for a product to be competitive. In engineering practice, a large number of
optimization and identification problems exist that could not be solved without the use of computers [5].
The present level of technological development is characterized by increasing the performance of
machines with the production costs kept at a satisfactory level. The demands on the reliability and safety
of operation of the designed machines are also considerable.
From practical experience we know that the dynamic properties of electromechanical systems have a
considerable influence on their reliability and safety. On the other hand, the tendency to push the price
of a machine down often leads to unfavorable dynamic properties that result in increased vibrations and
noise during operation. Also, electrical properties dramatically deteriorate as the amount of active
materials in a machine is reduced. The increased load leads to, among other things, excessive heat
formation, which, in turn, has a negative effect on insulation, shortening the service life of a machine.

34.2 Optimization Methods

Principles of Optimization

The properties of electromechanical systems can be described mathematically using physical quantities.
The degree of these properties is then described using mathematically formulated objective (preference)
functions. Structural parameters ranging between limit values given as satisfying secondary conditions
are the independent variables of these functions. The particular form of the functions depends on the type
of machine and its mathematical description. The solutions of a mathematically formulated optimization

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