Hybrid Analytical Analysis in the Design of Mechatronic Systems

2015 ◽  
Vol 762 ◽  
pp. 243-248 ◽  
Author(s):  
Olimpiu Hancu ◽  
Mihaela Simion ◽  
Ciprian Lăpuşan
Keyword(s):  
Structural Analysis ◽  
Motion Analysis ◽  
Control Strategy ◽  
Mechatronic System ◽  
Hybrid Analysis ◽  
Structural Element ◽  
Mechatronic Systems ◽  
Resources Management ◽  
Optimal Approach ◽  
Multiple Task

Coupling the structural analysis with the motion analysis in one simulation (hybrid analysis) provides an important mechanism which allows an integrated and optimal approach in the design of mechatronic systems. Such a procedure which includes Matlab/Simulink calculus and visualization of main efforts variation in each structural element of a robot during an entire operational task, allowing coupling structural analysis with motion analysis and testing the virtual prototype on multiple task scenarios is detailed in this paper. Also, the utility of this analysis (information) and ways to improving the control strategy for resources management of an intelligent mechatronic system are emphasized.

Some Key Issues in Using Bond Graphs and Genetic Programming for Mechatronic System Design

2001 ◽  
Author(s):  
R. C. Rosenberg ◽  
E. D. Goodman ◽  
Kisung Seo
Keyword(s):  
Genetic Programming ◽  
System Design ◽  
Design Space ◽  
Bond Graph ◽  
Mechatronic System ◽  
Bond Graphs ◽  
Mechatronic Systems ◽  
Energy Behavior ◽  
Key Issues ◽  
Bond Graph Modeling

Abstract Mechatronic system design differs from design of single-domain systems, such as electronic circuits, mechanisms, and fluid power systems, in part because of the need to integrate the several distinct domain characteristics in predicting system behavior. The goal of our work is to develop an automated procedure that can explore mechatronic design space in a topologically open-ended manner, yet still find appropriate configurations efficiently enough to be useful. Our approach combines bond graphs for model representation with genetic programming for generating suitable design candidates as a means of exploring the design space. Bond graphs allow us to capture the common energy behavior underlying the several physical domains of mechatronic systems in a uniform notation. Genetic programming is an effective way to generate design candidates in an open-ended, but statistically structured, manner. Our initial goal is to identify the key issues in merging the bond graph modeling tool with genetic programming for searching. The first design problem we chose is that of finding a model that has a specified set of eigenvalues. The problem can be studied using a restricted set of bond graph elements to represent suitable topologies. We present the initial results of our studies and identify key issues in advancing the approach toward becoming an effective and efficient open-ended design tool for mechatronic systems.

Structured Modeling of Mechatronic Components Using Multiport Templates

2000 ◽  
Author(s):  
Michael K. Hales ◽  
Ronald C. Rosenberg
Keyword(s):  
Mathematical Modeling ◽  
Product Development ◽  
New Product Development ◽  
Lead Time ◽  
New Product ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
Engineering Knowledge ◽  
Structured Modeling ◽  
Design Alternatives

Abstract Mathematical modeling of mechatronic systems is increasing in its importance to industry for product development. Mathematical modeling helps companies reduce the lead time for new product development, allows for consideration of more design alternatives, provides a means for capture of engineering knowledge, and facilitates sharing of engineering efforts with suppliers. Structured modeling further assists engineers in meeting these goals by supporting effective, clear communication of model information. This paper describes a modeling environment for mechatronic system design based on structured modeling concepts. Structured modeling is implemented using a multiport template approach. A multiport template allows the engineer to create new user-defined model types, which are in turn used to create computational instances. The focus is on mechatronic component modeling. Illustrations of the method are given.

Control of Vibration Flow at the Joint of an L-Shaped Frame

2007 ◽  
Author(s):  
C. Mei
Keyword(s):  
Vibration Control ◽  
Control Strategy ◽  
Mechanical Systems ◽  
Structural Elements ◽  
Structural Components ◽  
Structural Element ◽  
Shaped Beam ◽  
Structural Joint ◽  
Structural Joints ◽  
Vibration Problems

There has been an increasing interest in vibration control in recent years. This is due to demands for mechanical structures to be lighter and faster. Lighter and faster structures are more prone to vibrations. Hence, there is an imperative need for practical solutions to vibration problems in complex practical mechanical systems. Regardless of the complexity of a structure, from wave vibration standpoint, it consists of only two basic types of structural components, namely, structural elements and structural joints. In this paper, a control strategy is developed for controlling vibrations flowing from one structural element to another through the structural joint. An L-shaped beam is studied as an example structure. Numerical results are given.

Function Basis for Mechatronic System Design

2011 ◽  
Vol 284-286 ◽  
pp. 1401-1407
Author(s):  
Yong Xu
Keyword(s):  
Information Processing ◽  
System Design ◽  
Theoretical Basis ◽  
State Transition ◽  
Transformation Function ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
Design Models ◽  
Functional Description ◽  
Function Transformation

A new function-oriented theoretical basis for mechatronic system design is presented in the paper, with a technology-independent functional description of such aspects in a mechatronic system as 1) relations and distinctions among purpose function, transformation function and state transition and 2) structure of information processing. All discussions are summarized in a set of principles, which consequently form the basis for devising design models and methods for mechatronic systems.

Virtual Development Environment for Fluid Power Mechatronic Systems

2009 ◽  
Author(s):  
Torsten Verkoyen ◽  
Rene´ von Dombrowski ◽  
Hubertus Murrenhoff
Keyword(s):  
Development Process ◽  
Simulation Models ◽  
Fluid Power ◽  
Hardware In The Loop ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
Development Environment ◽  
German State ◽  
Long Time ◽  
Soft And Hardware

In this paper the results of the German state-funded research project “Fluidtronic”, that deals with a virtual development environment for fluid technical mechatronic systems, is presented. Firstly the conventional development process of a fluid technical mechatronic system is introduced. The conventional development process typically takes a long time because design failures are often only identified during the plant commissioning. Secondly the new virtual development environment, which is worked out in the “Fluidtronic” project is presented. It shows how both the system performance can be optimized and also how the commissioning time can be reduced extensively, if the interactions between mechanical, electrical and fluid power parts are tested at an early point of time in the development process. Optimizations in the development process are realized with the help of new and improved simulation models as well as soft- and hardware in the loop simulations.

scholarly journals Comparison of Existing Agile Approaches in the Context of Mechatronic System Development: Potentials and Limits in Implementation

2019 ◽  
Vol 1 (1) ◽  
pp. 2199-2208 ◽  
Author(s):  
Jonas Heimicke ◽  
Manuel Niever ◽  
Valentin Zimmermann ◽  
Monika Klippert ◽  
Florian Marthaler ◽  
...  
Keyword(s):  
Software Development ◽  
Physical Properties ◽  
System Development ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
Dynamic Changes ◽  
Physical Systems ◽  
Development Context ◽  
Development Processes ◽  
Relevant Factors

AbstractThe development of mechatronic systems has always been characterized by continuous handling of uncertainties. This challenge, which is associated with dynamic changes in the development context, is increasingly met by companies in the development of physical systems with the implementation of agile approaches in their development processes. However, since established approaches have their origin in software development, they reach various limits in the context of the development of mechatronic systems, e.g. due to the physical properties of the systems. Other features, such as transparent and flexible project management or targeted and early involvement of customers and users in development processes, can also be implemented in mechatronic system development. In order to derive the potentials and limits of existing agile approaches for the context of mechatronic system development, the present paper compares existing approaches with regard to relevant factors from the context of mechatronic system development. The aim is to create a basis for the targeted development, adaptation and use of agile approaches in the field of mechatronic system development.

SDRE-based high performance feedback control for nonlinear mechatronic systems

2019 ◽  
Vol 38 (4) ◽  
pp. 1164-1176
Author(s):  
Slawomir Jan Stepien ◽  
Paulina Superczynska ◽  
Damian Dobrowolski ◽  
Jerzy Dobrowolski
Keyword(s):  
Control Problem ◽  
High Performance ◽  
Computational Effort ◽  
Control Technique ◽  
Feedback Gain ◽  
Nonlinear Feedback ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
Content Type ◽  
State Dependent

Purpose The purpose of the paper is to present modeling and control of a nonlinear mechatronic system. To solve the control problem, the modified state-dependent Riccati equation (SDRE) method is applied. The control problem is designed and analyzed using the nonlinear feedback gain strategy for the infinite time horizon problem. Design/methodology/approach As a new contribution, this paper deals with state-dependent parametrization as an effective modeling of the mechatronic system and shows how to modify the classical form of the SDRE method to reduce computational effort during feedback gain computation. The numerical example compares described methods and confirms usefulness of the proposed technique. Findings The proposed control technique can ensure optimal dynamic response, reducing computational effort during control law computation. The effectiveness of the proposed control strategy is verified via numerical simulation. Originality/value The authors introduced an innovative approach to the well-known SDRE control methodology and settled their research in the newest literature coverage for this issue.

Design on Manipulator Hand Structure Working in the Radiation Environment

2013 ◽  
Vol 807-809 ◽  
pp. 1376-1379
Author(s):  
Yong Xia Liu ◽  
Shu Liang Zou ◽  
Zhi Feng He ◽  
De Zhang
Keyword(s):  
Control System ◽  
Structural Analysis ◽  
Modeling And Simulation ◽  
Motion Analysis ◽  
Radiation Environment ◽  
Simulation Technology ◽  
Kinematic Characteristics ◽  
Hydraulic Manipulator ◽  
Simulation Results

On the basis of the design and calculation, motion analysis and structural analysis were carried out on hydraulic manipulator hand structure working in the radiation environment by using modeling and simulation technology. Concluded that the simulation results can be intuitive to inspect the kinematic characteristics of the manipulator hand structure, and provide the basis for the design of the control system.

Expert Formation of Functional Parameters Composition in Digital Mechatronic Systems

2019 ◽  
Vol 20 (2) ◽  
pp. 97-105
Author(s):  
A. V. Gulay ◽  
V. M. Zaitsev
Keyword(s):  
Empirical Studies ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
Internal System ◽  
System Solution ◽  
System Functioning ◽  
Control Procedures ◽  
System States ◽  
Methodological Aspects ◽  
Effective Output

In the process of the mechatronic system functioning respective effective output parameters and parameters of its internal system state are generated. Preliminary selection of composition of the indicated parameters is a rather complicated task due to objective complexity of systems, availability of evident and latent interrelations between parameters. This task is complicated due to the necessity of simultaneous reduction of dimension and variation of control procedures and management in the mechatronic system. Solution of this problem may be attained with the aid of preliminary expert and empirical studies of complex models and mock-up specimens of designed mechatronic systems. In this regard, this work contains presentation of methodological aspects of adequately supported formation of composition of controlled parameters, their tolerance limits and other system features required for intellectual management. Rational sequence is described for performance of focused researches in order to reveal most important effective output parameters and parameters of internal system states. In accordance with the proposed algorithm the initial information and parameter picture of the intelligent mechatronic system is formed, studied and revised, its group expert evaluation and subsequent "thinning-out" of lists of its constituent parameters. A regression model is developed, which determines the form of interrelation between the parameters, as well as of the correlation model, which allows assessment of the volume of statistical interrelation between the system parameters. In the process of model analysis extremely weak dependences are detected between parameters, negative collinearity of factor variables is eliminated.

Motion Analysis of Human Lifting Works with Heavy Objects

2005 ◽  
Vol 17 (6) ◽  
pp. 628-635 ◽  
Author(s):  
Nobutomo Matsunaga ◽  
◽  
Shigeyasu Kawaji
Keyword(s):  
Motion Control ◽  
Motion Analysis ◽  
Real World ◽  
Control Strategy ◽  
Robot Control ◽  
Autonomous Robots ◽  
Biped Robot ◽  
Weight Lifting ◽  
The Real ◽  
Lower Back

Advances in robot development involves autonomous work in the real world, where robots may lift or carry heavy objects. Motion control of autonomous robots is an important issue, in which configurations and motion differ depending on the robot and the object. Isaka et al. analyzed that lifting configuration is important in realizing efficient lifting minimizing the burden on the lower back, but their analysis was limited to weight lifting of a fixed object. Biped robot control requires analyzing different lifting in diverse situations. Thus, motion analysis is important in clarifying control strategy. We analyzed dynamics of human lifting of barbells in different situations, and found that lifting can be divided into four motions.

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