Experimental design for verification and validation of harmonic vibration control systems

2021 ◽  
Vol 69 (5) ◽  
pp. 460-465
Author(s):  
J. Wang
Keyword(s):  
Control System ◽  
Experimental Design ◽  
Systems Engineering ◽  
Verification And Validation ◽  
Physical Parameters ◽  
Simple Method ◽  
Performance Limit ◽  
Design Procedures ◽  
Iterative Procedures ◽  
Model Based Systems Engineering

Verification and validation represent an important procedure for model-based systems engineering design processes. One of the crucial tasks for verification and validation is to test whether the control system has reached performance limit. This is challenging since complicated theories and complex steps are often involved to achieve such an objective; meanwhile, the state of the art for testing performance limit requires iterative procedures. A simple and one-off experimental design for telling whether a control system reaches its performance limit is thus necessitated. This article introduces a remarkable test criterion for fulfilling the requirement. Both theoretical foundation and experiment design procedures are presented. Numerical examples are illustrated for the proposed method, where it is also shown that the simple method can be generalized to determining performance limit maps over both frequencies and physical parameters.

scholarly journals Model-Based Systems Engineering Approach with SysML for an Automatic Flight Control System

2021 ◽  
Author(s):  
Haluk Altay ◽  
M. Furkan Solmazgül
Keyword(s):  
Control System ◽  
Complex Systems ◽  
Systems Engineering ◽  
Flight Control ◽  
Flight Control System ◽  
Engineering Approach ◽  
Model Based ◽  
Multidisciplinary Study ◽  
Model Based Systems Engineering

Systems engineering is the most important branch of engineering in interdisciplinary study. Successfully performing a multidisciplinary complex system is one of the most challenging tasks of systems engineering. Multidisciplinary study brings problems such as defining complex systems, ensuring communication between stakeholders, and common language among different design teams. In solving such problems, traditional systems engineering approach cannot provide an efficient solution. In this paper, a model-based systems engineering approach is applied with a case study and the approach is found to be more efficient. In the case study, the design of the helicopter automatic flight control system was realized by applying model-based design processes with integration of tools. Requirement management, system architecture management and model-based systems engineering processes are explained and applied of the case study. Finally, model-based systems engineering approach is proven to be effective compared with the traditional systems engineering methods for complex systems in aviation and defence industries.

scholarly journals From automation to autonomy - designing a complete ship control system

2018 ◽  
Author(s):  
C J Field
Keyword(s):  
Control System ◽  
Systems Engineering ◽  
Open Architecture ◽  
Functional Requirements ◽  
Ship Control ◽  
Unmanned Ship ◽  
High Level ◽  
Model Based Systems Engineering ◽  
Selection Of ◽  
The Way

This paper describes the way in which Systems Engineering has been used to map out and address the technical, operational and regulatory considerations necessary for autonomous platform management of Unmanned Surface Vehicles. Building on an approach originally developed for Unmanned Aerial Vehicles, Model-Based Systems Engineering has been used to derive the context and requirements for this high-level ship control system to ensure that it is properly structured, adaptable and re-useable. Mapping out use cases of the platform systems of a large, complex unmanned ship has allowed the functional requirements to be derived rigorously and therefore informs the selection of the most efficient architecture and interfaces ahead of software creation. This practical application of Systems Engineering has paved the way to the creation of robust, open-architecture control of platform systems which enables vessel autonomy in the Naval domain.

Structural Design for Vibration Distribution: Limit of Performance

2020 ◽  
Vol 20 (05) ◽  
pp. 2050060
Author(s):  
Jiqiang Wang
Keyword(s):  
Structural Design ◽  
Physical Parameters ◽  
Solution Existence ◽  
Challenging Problem ◽  
Design Constraints ◽  
Performance Limit ◽  
New Approach ◽  
Numerical Examples ◽  
Iterative Procedures ◽  
Conventional Optimization

The vibration distribution across a structure at different nodes represents an emerging and challenging problem to be addressed. Conventional optimization-based approaches can be utilized, yet they are relatively difficult to handle the issue of performance limit or to evaluate the influence of constraints on the best achievable performance, particularly over discrete frequencies. A new approach is proposed in this paper, which possesses a distinctive visibility feature towards issues such as solution existence, uniqueness, optimality, and limit of performance. A number of results are obtained to illustrate treatment on these fundamental issues. The important problem of design constraints arising from realization of physical parameters is also addressed. A geometric design framework is thus established that does not require any iterative procedures to approaching the performance limit. These claims have been illustrated and validated through the numerical examples and simulations.

Model-Based Systems Engineering and Control System Development via Virtual Hardware-in-the-Loop Simulation

2010 ◽  
Author(s):  
Lawrence Michaels ◽  
Sylvain Pagerit ◽  
Aymeric Rousseau ◽  
Phillip Sharer ◽  
Shane Halbach ◽  
...  
Keyword(s):  
Control System ◽  
Systems Engineering ◽  
System Development ◽  
Hardware In The Loop ◽  
Model Based ◽  
And Control ◽  
Model Based Systems Engineering

Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit/Information Quality in Product Engineering: Model-Based Systems Engineering in Explicit Consideration of Uncertainty

Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler
Keyword(s):  
Systems Engineering ◽  
Information Quality ◽  
Engineering Model ◽  
Model Based ◽  
Product Engineering ◽  
Explicit Consideration ◽  
Model Based Systems Engineering

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.

scholarly journals PROPOSING A SPECIFICATION STRUCTURE FOR COMPLEX PRODUCTS IN MODEL-BASED SYSTEMS ENGINEERING (MBSE)

2021 ◽  
Vol 1 ◽  
pp. 2481-2490
Author(s):  
Joshua Fahl ◽  
Tobias Hirschter ◽  
Gabriel Wöhrle ◽  
Albert Albers
Keyword(s):  
Systems Engineering ◽  
Student Development ◽  
Success Factors ◽  
Research Work ◽  
Development Project ◽  
Product Complexity ◽  
Complex Product ◽  
Complex Products ◽  
Model Based Systems Engineering ◽  
Product Specification

AbstractThis research work presents a methodological support for the specification of complex products. This is achieved by developing a specification structure in a MBSE environment. The new method draws on success factors of complex product specification, principles of MBSE and the explanatory model of PGE – Product Generation Engineering. For evaluation, the method is applied within a student development project. A high applicability and the realization of novel synergies for coping with continuously increasing product complexity is demonstrated.

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