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- W2123667156 abstract "Complex systems are characterized by architectural complexity, dynamic interaction between subsystems, and complex functionality, understood only by teams from dieren t disciplines. 20 years ago the major challenge was the multidisciplinary design of avionics. Over the past 20 years, design methods and tools have been developed to cope with these challenges. Today the complexity of networked electronics and the interaction of hardware and software impose similar complexity and design challenges. According to Moore’s Law, closely followed by industry, the complexity of electronics increases by a factor 100 every 10 years, requiring to increase abstraction in the design methodology, in order to cope with this increase of complexity. This paper shows the move towards performance and mission level design and its advantages over functional level design approaches in combination with how developments from UML 2.0 can be used for complex system design and what extensions are neccessary. 1 The challenge of complexity Aerospace systems are characterized by architectural complexity, dynamic interaction between subsystems, and complex interdisciplinary functionality. The challenges of designing these complex system with more than 1000 electronic control units (ECUs) include not only the architectural and functional complexity of the avionics systems themselves, but also the complexity of the organizational structure of the design teams from mission specication, design, implementation, test, training, and operation. The introduction of stability augmentation systems in the 1960th and 1970th coupled dierent areas of engineering developments and caused interdisciplinary problems in the designs. Every aircraft prototype tested exhibited aero-servo-elasticity problems. The analysis of these problems showed that the main cause for these problems was a wed specications resulting from insucien t communication between design engineers of dieren t areas, and use of incompatible modeling techniques and tools. Multidisciplinary research led to modeling and design methodologies that considered engineering expertise and the limit of it for the design o w, e.g., for the development of integrated igh t propulsion control systems. Multidisciplinary research sponsored by AFWAL [Salzwedel u. Vincent 1984] let to the development of generic software tools like Ctrl-C r , MatriX r and their derivatives Matlab r and Octave TM , that permitted to combine functional level models from dieren t disciplines to reduce these problems. An example of successful multidisciplinary modeling can be found in the design of a transfer alignment lter. This lter is responsible for the transfer of navigational information from an aircraft navigation system to that of a missile under a wing. Early developments for this lter considered a rigid body connection between the aircraft and the missile, and treated all other eects as white noise, causing large alignment errors and large alignment times. Large research eorts and tests could not solve the problem. The availability of Ctrl-C permitted to easily combine models from structural dynamics, aerodynamics and igh t control into a unied model. This permitted to identify structural exing as the major problem for lter accuracy and alignment time. The inclusion of these eects improved the accuracy by more than a factor 100 and reduced the alignment time by more than a factor 100 [Salzwedel u. a. 1985]. With the proliferation of electronics in nearly all type of engineering systems, and the rapid increase of the complexity of electronics, the major challenge of" @default.
- W2123667156 created "2016-06-24" @default.
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- W2123667156 date "2005-01-01" @default.
- W2123667156 modified "2023-09-27" @default.
- W2123667156 title "Mission Level System Design using UML 2.0" @default.
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- W2123667156 hasPublicationYear "2005" @default.
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