Multi-agent approach based on a design process for the optimization of mechatronic systems

In this article, we investigate the potential of using a synthesis of organizational research, traditional systems analysis techniques, and agent-based computing in the creation and teaching of a Contingency Theoretic Systems Design (CTSD) model. To facilitate understanding of the new design model, we briefly provide the necessary background of these diverse fields, describe the conceptualization used in the integration process, and give a non-technical overview of an example implementation in a very complex design environment. The example utilized in this article is a Smart Agent Resource for Advising (SARA), an intelligent multi-agent advising system for college students. To test all of the potential of our CTSD model, we created SARA utilizing a distributed instructional model in a multi-university, multi-disciplinary cooperative design process.

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Design of a human-like biped locomotion system based on a novel mechatronic methodology

Concurrent Engineering ◽

10.1177/1063293x19857784 ◽

2019 ◽

Vol 27 (3) ◽

pp. 249-267

Author(s):

JA Vazquez-Santacruz ◽

J Torres-Figueroa ◽

R de J Portillo-Velez

Keyword(s):

Design Process ◽

Three Dimensional ◽

Systems Design ◽

Biped Robot ◽

Algorithm Optimization ◽

Mechatronic Systems ◽

Joint Torques ◽

Mechatronic Design ◽

Euler Model ◽

Robot Configuration

In this article, a formal mechatronic design of a biped robot is addressed. It is considered a model-based system engineering methodology since the continuous updating of information, from analysis and evolution of conceptual designs, demands a large volume of data. The definition of a biped robot comes from the need of a system to perform human-like walking as the problem to be solved. A specific robot configuration results from the analysis of conceptual solutions throughout SysML as the language for modeling the synergistic and automatic integration among engineering disciplines. The general design process is developed according to the well-known V-model for mechatronic systems design; however, a three-dimensional focus is proposed in order to address a variety of domains and their interaction along the design process. The detailed study of the solution is evaluated in order to optimize the joint torques and limbs shape from an anthropometric robot to achieve effective human-like motion. Although the mechatronic design is done for the overall biped robot system, this work is particularly focused on mechanical features as the most representative subsystem that incorporates genetic algorithm optimization based on a numerical Newton–Euler model merged with topology optimization tools to define final geometry of limbs with stiffness maximization.

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Survey of Mechatronic Techniques in Modern Machine Design

Journal of Robotics ◽

10.1155/2012/932305 ◽

2012 ◽

Vol 2012 ◽

pp. 1-9

Author(s):

Devdas Shetty ◽

Lou Manzione ◽

Ahad Ali

Keyword(s):

Design Process ◽

Machining Process ◽

Frame Structure ◽

Automated System ◽

Product Development Process ◽

Mechatronic Systems ◽

Adaptive Controls ◽

Feed Drives ◽

Simulation Based ◽

Smart Machine

Increasing demands on the productivity of complex systems, such as manufacturing machines and their steadily growing technological importance will require the application of new methods in the product development process. A smart machine can make decisions about the process in real-time with plenty of adaptive controls. This paper shows the simulation based mechatronic model of a complex system with a better understanding of the dynamic behavior and interactions of the components. This offers improved possibilities of evaluating and optimizing the dynamic motion performance of the entire automated system in the early stages of the design process. Another effect is the growing influence of interactions between machine components on achievable machine dynamics and precision and quality of components. The examples cited in this paper, demonstrate the distinguishing feature of mechatronic systems through intensive integration. The case studies also show that it will no longer be sufficient to focus solely on the optimization of subsystems. Instead it will be necessary to strive for optimization of the complete system. The interactions between machine components, the influence of the control system and the machining process will have to be considered during the design process and the coordination of feed drives and frame structure components.

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Mechatronics Engineering on the Example of a Multipurpose Mobile Robot

Solid State Phenomena ◽

10.4028/www.scientific.net/ssp.147-149.61 ◽

2009 ◽

Vol 147-149 ◽

pp. 61-66 ◽

Cited By ~ 5

Author(s):

Marek Stania ◽

Ralf Stetter

Keyword(s):

Mobile Robot ◽

Design Process ◽

Level Control ◽

Mechatronic System ◽

Mechatronic Systems ◽

Mechatronic Design ◽

Planning And Control ◽

And Control

This paper presents the patented mechanical concept for steering and level control of a mobile robot equipped with four driving units and the methods that lead to the development of this mechatronic system. The mobile robot exhibits excellent maneuverability and considerable advantages when moving in difficult environments such as rough landscapes. The paper discusses a refined approach to develop mechatronic systems which is based on the well-known V-model. The refined approach allows a conscious planning and control of a mechatronic design process.

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COORDINATION OF SELF-OPTIMIZING MECHATRONIC SYSTEMS - A New Application for Multi-Agent Planning

Proceedings of the International Conference on Agents and Artificial Intelligence ◽

10.5220/0001794903120317 ◽

2009 ◽

Keyword(s):

Mechatronic Systems ◽

Multi Agent ◽

Multi Agent Planning

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A formal representation of the process of product design of case furniture in multi-agent medium

Forestry Engineering Journal ◽

10.12737/6289 ◽

2014 ◽

Vol 4 (3) ◽

pp. 205-212 ◽

Cited By ~ 1

Author(s):

Мешков ◽

Dmitriy Meshkov ◽

Стариков ◽

Aleksandr Starikov

Keyword(s):

Design Process ◽

Design Problem ◽

Dynamic Structure ◽

Logical Structure ◽

Level Of Detail ◽

Formal Representation ◽

Virtual Design ◽

Design Procedures ◽

Design Office ◽

Multi Agent

We consider the logical structure of the technological design process (TDP) running in multi-agent medium of virtual design office of furniture (DOF) provided by a set of design procedures, each of which, in its turn, includes a number of project activities related to each other. There is formalized presentation of TDP as Metagraphy. Such formalized presentation provides opportunities to simplify the process control with dynamic structure and allow enterprises to obtain required level of detail of their structure when modeling a particular design problem.

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Case-Based Expert System to Support Electronics Design in Mechatronic System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.229-231.2793 ◽

2012 ◽

Vol 229-231 ◽

pp. 2793-2797

Author(s):

Samir El-Nakla

Keyword(s):

Expert System ◽

Design Process ◽

Mechatronic System ◽

Mechatronic Systems ◽

Overall Design ◽

Individual Domain ◽

Access Information ◽

The Individual ◽

Current Systems ◽

Case Based

Many current systems rely for their performance on achieving a balance between electronics, software and mechanical systems and the transfer of functionality between those domains. The design of such mechatronic systems therefore relies on the ability of the individual domain specialists to transfer knowledge about their domain within the overall design process. Enhancing the ability of non-specialists to understand the relationships between the various system elements and to communicate with the domain specialists will serve to enhance and support the design process. The paper therefore considers a tool based around the use of case-based expert system which is intended to provide such support by allowing a non-specialist to access information from a range of domains in a way which is easy to use and understand and which will establish and define the links between the various areas of technology.

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