Knowledge Based Engineering to Support Automotive Conceptual Design and Automatic Control Software Development

Tian, Fengnian; Voskuijl, Mark

doi:10.1007/978-3-642-33829-8_37

Cited by 2 publications

(4 citation statements)

References 4 publications

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“…Thereby, an aircraft concept can be defined quickly by selecting the parametric geometric elements from the database. The DEE has been proven useful for aircraft and automotive conceptual design [8], [17]. So far, the E/E systems have not been considered in the DEE.…”

Section: Related Workmentioning

confidence: 99%

Mechatronic Design and Optimization Using Knowledge Based Engineering Applied to an Inherently Unstable and Unmanned Aerial Vehicle

Tian

Voskuijl

2015

IEEE/ASME Trans. Mechatron.

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A novel design method for mechatronic systems, based on knowledge based engineering techniques, is proposed in this research study. The method is particularly suited for mechatronic vehicles which are inherently unstable and require control systems for stabilization. The method is implemented in a dedicated software tool in which physical entities of the product are defined as classes with attributes. Non-physical elements of the system and procedures for the design and analysis of the system are defined as functions with variables. The method has two key features. First, multiphysics simulation models and associated analysis functions are generated automatically within a multidisciplinary analysis and optimization framework. These models are not restricted to geometrical aspects for mechanical design, but also include the system architecture, dynamics, aerodynamics, electronic control systems and associated software codes. Second, for each representation of a design, a dedicated control system is developed completely automatically, based on the multiphysics simulation model, using model inversion control. These two features make it possible to analyse the dynamics and performance of inherently unstable mechatronic vehicles already in the early design phases when the vehicle is still subject to large configuration design changes. The method is demonstrated for the design of a multirotor unmanned aerial vehicle. Thirty thousand possible design solutions are evaluated by the system without manual interference. For each design, a dedicated control system is created and five flight test maneuvers are simulated in order to assess the aircraft performance and flying qualities. A global optimization process is applied for two conflicting requirements and the process is convergent at two optimum solutions.

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Section: Related Workmentioning

confidence: 99%

Mechatronic Design and Optimization Using Knowledge Based Engineering Applied to an Inherently Unstable and Unmanned Aerial Vehicle

Tian

Voskuijl

2015

IEEE/ASME Trans. Mechatron.

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“…In the current research study, a novel electric vehicle configuration named A-line, where passengers are seated in line, has been proposed [5]. Because of its narrow track, the braking distance has to be tested.…”

Section: Test Case -The Development Of the Anti-lock Braking System (mentioning

confidence: 99%

“…Previously, the concept of the Design and Engineering Engine (DEE) has been proposed for automobile conceptual design [5]. The heart of the DEE,designated Multi-Model Generator (MMG), which is a Knowledge Based Engineering (KBE) application, has been tested for the generation geometric models for a series of novel electric vehicle configurations [5].…”

Section: Introductionmentioning

confidence: 99%

“…The heart of the DEE,designated Multi-Model Generator (MMG), which is a Knowledge Based Engineering (KBE) application, has been tested for the generation geometric models for a series of novel electric vehicle configurations [5]. The ability of the MMG is expended in the current study, which allows the designer to take the development of the E/E systems including logical system architecture, technical system architecture and control software, into account already in the automotive conceptual design stage.…”

Section: Introductionmentioning

confidence: 99%

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Knowledge Based Engineering to support electric and electronic system design and automatic control software development

Tian

Voskuijl

2013

2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC)

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The level of software integration in vehicles, such as electric cars and aircraft, is rapidly increasing. Due to the increasing complexity of the embedded control software, significant delays can occur in development programs or even errors can be present in the control software of the final product. In the development of the electric and electronic system (E/E system), the analysis and specification for the architecture of the logical system, technical system and software itself includes many repetitive (manual) processes. Those repetitive processes are time consuming and are prone to errors. This research proposes new methods and tools that allow the designer to take electronic components, including control software, into account already in the conceptual design stage of complex systems. These new methods are based upon the principles of Knowledge Based Engineering (KBE), which is essentially a combination of computer aided design (CAD) and artificial intelligence (AI). The proposed methods can establish the relationship from the logical system architecture to the technical system architecture and finally the software components. Moreover, the proposed tools can model the logical, technical architecture and automatically generate the software components. The software language GDL, which is particularly suitable for the representation of complex systems and the development of KBE applications, has been used to develop the tools. The development of an Anti-lock Braking System (ABS) for a novel electric vehicle configuration has been chosen as test case. Based on a single intelligent product model, that contains the main design parameters of the vehicle specified by the designer, two models are generated automatically; (1) the simulation model of the physical plant and the associated control system, and (2) the control software. For a specific vehicle configuration, the simulation model can be used to test the control system and to optimize the parameters of the control system. In the case of an ABS, a braking maneuver is simulated. Next, the software components are generated automatically. The simulation model is used to test the software components for a range of conditions. The results show that the of the software components are automatically updated when the physical plant of the E/E systems or top level overall design changes. The final source code is wellstructured and easy to understand due to the fact that there is a direct relation between the vehicle design parameters specified in the original product model and the variables and their values in the data model of the software components. The proposed design methods and tools can in principle be applied to any dynamic system with a high level of software integration, such as e.g. unmanned aerial vehicles.

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Knowledge Based Engineering to Support Automotive Conceptual Design and Automatic Control Software Development

Cited by 2 publications

References 4 publications

Mechatronic Design and Optimization Using Knowledge Based Engineering Applied to an Inherently Unstable and Unmanned Aerial Vehicle

Mechatronic Design and Optimization Using Knowledge Based Engineering Applied to an Inherently Unstable and Unmanned Aerial Vehicle

Knowledge Based Engineering to support electric and electronic system design and automatic control software development

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