Abstract:Objective:This paper deals with the design and the optimization of mechatronic devices.
Introduction:Comparing with existing works, the design approach presented in this paper aims to integrate optimization in the design phase of complex mechatronic systems in order to increase the efficiency of this method.
Methods:To solve this problem, a novel mechatronic system design approach has been developed in order to take the multidisciplinary aspect and to consider optimization as a tool that can be used within the embodiment design process to build mechatronic solutions from a set of solution concepts designed with innovative or routine design methods.
Conclusions:This approach has then been applied to the design and optimization of a wind turbine system that can be implemented to autonomously supply a mountain cottage.
This paper deals with the fast modeling and fast multiobjective optimal design of mechatronic systems. To solve this problem, the object-oriented modeling language Modelica and object-oriented programming language Java have been used to build an innovate software platform. This platform has been designed to allow multidisciplinary design optimization of complex systems using a free platform. This platform only contains open-source tools and frameworks and was validated on an optimization application: the stabilization of a quarter-car system.
Multidisciplinary systems, such as mechatronic systems, are particularly complex to design because the designer needs knowledge in many fields. This paper is part of a routine process design to optimize the topology of a multidisciplinary system, which is difficult when dealing with more than one discipline or when solutions must be chosen within a set of components and combined. To solve this problem, an approach for the design and optimization of such systems is proposed. It is based on topology optimization, which combines the parametric optimization, using tools like genetic algorithms or particle swarm optimization, and the Case-Based Reasoning to find the best possible solutions by combining and adapting cases within a database or a set of components. This approach is then applied to the design of a gripping tool which will be mounted as a robot effector. This system belongs to the family of mechatronic systems which integrates mechanical, electrical, control and software engineering.
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