scholarly journals PATTERN BASED SYSTEMS ENGINEERING – APPLICATION OF SOLUTION PATTERNS IN THE DESIGN OF INTELLIGENT TECHNICAL SYSTEMS

2020 ◽  
Vol 1 ◽  
pp. 1195-1204
Author(s):  
H. Anacker ◽  
R. Dumitrescu ◽  
A. Kharatyan ◽  
A. Lipsmeier
Keyword(s):  
System Design ◽  
Systems Engineering ◽  
Engineering Application ◽  
Systems Design ◽  
Mechatronic Systems ◽  
Knowledge Space ◽  
Technical Systems

AbstractFor the development of intelligent technical systems, Systems Engineering and Solution Patterns are the guarantee for success. In order to avoid cost-intensive iterations, the documentation and reuse of solution knowledge is addressed during the systems design. Using an interdisciplinary specification technique, a uniform structuring of Solution Patterns as well as the composition in a multidimensional knowledge space takes place. This is the basis of an associated systematics for a solution pattern-based system design of mechatronic systems, which is validated by two cooperating DeltaRobots.

Identification of Reusable Controller Strategies for the System Design of Advanced Mechatronic Systems

2013 ◽  
Vol 393 ◽  
pp. 579-585
Author(s):  
Harald Anacker ◽  
Roman Dumitrescu ◽  
Jürgen Gausemeier ◽  
Cheng Yee Low
Keyword(s):  
System Design ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
System Model ◽  
Time Cost ◽  
Mechatronic Systems ◽  
Control Engineering ◽  
Information And Communication ◽  
Technical Systems ◽  
Current Standards

Recently, mechatronics as a self-contained discipline has undoubtedly shaped the development of technical systems. Mechatronics stands for the close interaction of mechanics, electronics, control engineering and software engineering. Due to the advancement of information and communication technologies, the functionality of mechatronic systems will go far beyond current standards. The increasing complexity requires a consistent comprehension of the tasks between all the developers involved. Especially during the early design phases, the communication and cooperation between the engineers is necessary to design a first overall system model. In addition, reusing of once successfully implemented solution knowledge is becoming increasingly important related to the overall context of the triangle of tension formed by time, cost and quality. In our work, we will present an approach for the identification of reusable controller strategies for the system design of advanced mechatronic systems.

scholarly journals Potentials for the Integration of Design Thinking along Automotive Systems Engineering Focusing Security and Safety

2019 ◽  
Vol 1 (1) ◽  
pp. 2883-2892 ◽  
Author(s):  
Julian Tekaat ◽  
Aschot Kharatyan ◽  
Harald Anacker ◽  
Roman Dumitrescu
Keyword(s):  
System Design ◽  
Systems Engineering ◽  
Autonomous Vehicles ◽  
Design Thinking ◽  
Early Stage ◽  
Systems Design ◽  
Automotive Systems ◽  
Complex Technical Systems ◽  
Systematic Security ◽  
Early Phases

AbstractThe increasingly intelligent, highly complex, technical systems of tomorrow - for instance autonomous vehicles - result in the necessity for a systematic security- and safety-oriented development process that starts in the early phases of system design. Automotive Systems Engineering (ASE) as one approach is increasingly gaining ground in the automotive industry. However, this approach is still in a prototype stage. The consideration of security and safety within the early stages of systems design leads to so- called ill-defined problems. Such are not covered by ASE, but can be addressed by means of Design Thinking. Therefore we introduce an approach to combine both approaches. Based on this combination, we derive potentials in the context of the consideration of security and safety. Essential advantages are the possibility to think ahead of threat scenarios at an early stage in system design. Due to an incomplete database, this is not supported or only partially supported by conventional approaches. The resulting potentials are derived based upon a practical example.

scholarly journals Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies

2019 ◽  
Vol 18 (6) ◽  
pp. 461-470 ◽  
Author(s):  
M. Hirz ◽  
M. Hofstetter ◽  
D. Lechleitner
Keyword(s):  
System Design ◽  
Electric Propulsion ◽  
Systems Design ◽  
System Level ◽  
System Quality ◽  
Multi Objective Optimization ◽  
Mechatronic Systems ◽  
Propulsion Systems ◽  
Power Train ◽  
Multi Objective

Electric drive systems consisting of battery, inverter, electric motor and gearbox are applied in hybridor purely electric vehicles. The layout process of such propulsion systems is performed on system level under consideration of various component properties and their interfering characteristics. In addition, different boundary conditions are taken under account, e. g. performance, efficiency, packaging, costs. In this way, the development process of the power train involves a broad range of influencing parameters and periphery conditions and thus represents a multi-dimensional optimization problem. Stateof-the-art development processes of mechatronic systems are usually executed according to the V-model, which represents a fundamental basis for handling the complex interactions of the different disciplines involved. In addition, stage-gate processes and spiral models are applied to deal with the high level of complexity during conception, design and testing. Involving a large number of technical and economic factors, these sequential, recursive processes may lead to suboptimal solutions since the system design processes do not sufficiently consider the complex relations between the different, partially conflicting domains. In this context, the present publication introduces an integrated multi-objective optimization strategy for the effective conception of electric propulsion systems, which involves a holistic consideration of all components and requirements in a multi-objective manner. The system design synthesis is based on component-specific Pareto-optimal designs to handle performance, efficiency, package and costs for given system requirements. The results are displayed as Pareto-fronts of electric power train system designs variants, from which decision makers are able to choose the best suitable solution. In this way, the presented system design approach for the development of electrically driven axles enables a multi-objective optimization considering efficiency, performance, costs and package. It is capable to reduce development time and to improve overall system quality at the same time.

Interdisciplinary System Architecture for Intelligent Technical Systems

2015 ◽  
Author(s):  
Thorsten Westermann ◽  
Harald Anacker ◽  
Roman Dumitrescu ◽  
Ursula Frank ◽  
Axel Hessenkämper
Keyword(s):  
Information Technology ◽  
Systems Engineering ◽  
System Architecture ◽  
Mechanical Engineering ◽  
Modular System ◽  
Mechatronic Systems ◽  
System Architectures ◽  
Mechanical Parts ◽  
Technical Systems ◽  
Model Based Systems Engineering

Nowadays, mechanical engineering products change from mechatronic products, characterized by the close interplay of mechanics, electronics, control and software engineering to Intelligent Technical Systems (ITS). Intelligent Technical Systems are mechatronic systems with inherent partial intelligence. Mechanical engineering products will be a symbiosis of information technology and mechanical parts. This will entail a rising complexity of technical systems and its development. Therefore we introduce an approach to improve system architectures of mechanical engineering products to realize Intelligent Technical Systems. Our approach meets the following challenges: creating a domain-spanning description of the system with Model-Based Systems Engineering (MBSE); designing an interdisciplinary and modular system architecture by using the technological concept of Intelligent Technical Systems; identifying and implementing solution elements as reusable modules. Validated by a separator, our results clarify the benefits of MBSE and the technological concept of ITS to improve system architectures of mechanical engineering products to realize Intelligent Technical Systems.

scholarly journals Multiobjective Optimal Control of Wind Turbines: A Survey on Methods and Recommendations for the Implementation

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 567
Author(s):  
Adrian Gambier
Keyword(s):  
Control System ◽  
Power Systems ◽  
System Design ◽  
Wind Turbines ◽  
Systems Engineering ◽  
Engineering Application ◽  
Current Control ◽  
Optimization Techniques ◽  
Control System Design ◽  
Large Wind

advanced control system design for large wind turbines is becoming increasingly complex, and high-level optimization techniques are receiving particular attention as an instrument to fulfil this significant degree of design requirements. Multiobjective optimal (MOO) control, in particular, is today a popular methodology for achieving a control system that conciliates multiple design objectives that may typically be incompatible. Multiobjective optimization was a matter of theoretical study for a long time, particularly in the areas of game theory and operations research. Nevertheless, the discipline experienced remarkable progress and multiple advances over the last two decades. Thus, many high-complexity optimization algorithms are currently accessible to address current control problems in systems engineering. On the other hand, utilizing such methods is not straightforward and requires a long period of trying and searching for, among other aspects, start parameters, adequate objective functions, and the best optimization algorithm for the problem. Hence, the primary intention of this work is to investigate old and new MOO methods from the application perspective for the purpose of control system design, offering practical experience, some open topics, and design hints. A very challenging problem in the system engineering application of power systems is to dominate the dynamic behavior of very large wind turbines. For this reason, it is used as a numeric case study to complete the presentation of the paper.

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Systems Engineering ◽  
Evidence Based ◽  
Extensive Literature ◽  
Trace Theory ◽  
Fuzzy Trace Theory ◽  
Abstract Representations ◽  
Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

Multicriterial Optimization of Technical Systems Considering Multiple Load and Availability Scenarios

2015 ◽  
Vol 807 ◽  
pp. 247-256 ◽  
Author(s):  
Lena C. Altherr ◽  
Thorsten Ederer ◽  
Philipp Pöttgen ◽  
Ulf Lorenz ◽  
Peter F. Pelz
Keyword(s):  
System Design ◽  
Cost Effective ◽  
Optimization Methods ◽  
Technical System ◽  
Multicriterial Optimization ◽  
Fluid Systems ◽  
Rule Number ◽  
Technical Systems ◽  
Multiple Load ◽  
Modern Optimization

Cheap does not imply cost-effective -- this is rule number one of zeitgeisty system design. The initial investment accounts only for a small portion of the lifecycle costs of a technical system. In fluid systems, about ninety percent of the total costs are caused by other factors like power consumption and maintenance. With modern optimization methods, it is already possible to plan an optimal technical system considering multiple objectives. In this paper, we focus on an often neglected contribution to the lifecycle costs: downtime costs due to spontaneous failures. Consequently, availability becomes an issue.

A SysML-Based Modeling Language for Mechatronic System Architecture

2015 ◽  
Author(s):  
Ruirui Chen ◽  
Yusheng Liu ◽  
Yue Cao ◽  
Jing Xu
Keyword(s):  
Systems Engineering ◽  
System Architecture ◽  
Modeling Language ◽  
Mechatronic Systems ◽  
Geometric Information ◽  
Automatic Reasoning ◽  
Control Behavior ◽  
Reasoning System ◽  
And Control ◽  
Model Based Systems Engineering

Model Based Systems Engineering (MBSE) is the mainstream methodology for the design of complex mechatronic systems. It emphasizes the application of the system architecture, which highly depends on a formalized modeling language. However, such modeling language is less researched in previous studies. This paper proposes a general modeling language for representing the system architecture, aiming for representing function, physical effect, geometric information and control behavior which the system should satisfy. It facilitates the communication of designers from different technological domains and supports a series of applications such as automatic reasoning, system simulation, etc. The language is illustrated and verified with a practical mechatronic device finally.

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