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Avionics System
The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
Levent Guvenc – One of the best experts on this subject based on the ideXlab platform.
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development of a cross compatible micro Avionics System for aerorobotics
IEEE Intelligent Vehicles Symposium, 2007Co-Authors: T Mutlu, Sertac Karaman, S Comak, Ismail Bayezit, Gokhan Inalhan, Levent GuvencAbstract:In this work, we present a micro-Avionics System structured around the controller area network (CAN) bus data backbone. The System is designed to be cross-compatible across our experimental mini-helicopters and ground vehicles, and it is tailored to allow autonomous navigation and control for a variety of different research test cases. The expandable architecture deploys a hybrid selection of COTS Motorola (MPC555) and Arm processor boards (LPC2294), each with different operating Systems and coding techniques (such as rapid algorithmic prototyping using automatic code generation via Matlab/Real Time Workshop Embedded Target). The micro-Avionics System employs a complete sensor suite that provides real-time position, orientation and associated time-rate information. As a part of the on-going fleet autonomy experiments, we present the design of a novel wireless SmartCan node. This wireless node allows seamless CAN Bus access of low-level sensor and operational data of other vehicles within close proximity.
Guoqing Wang – One of the best experts on this subject based on the ideXlab platform.
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The organization and architecture of the Avionics System
The Principles of Integrated Technology in Avionics Systems, 2020Co-Authors: Guoqing Wang, Wenhao ZhaoAbstract:Abstract The organization architecture of the Avionics System is a System organization architecture oriented to System applications, System functions, and System resource requirements, which builds organization of System capabilities, System processes, and System performance, to achieve System application goals, System function processing, and System resource operations. The Avionics System architecture is a flight application mode based on multiple applications, multiple objectives, and multitype tasks. It covers the System functional capability with a wide range of disciplines, multitype domains, and multiple capabilities, supporting the Systemic organization of multiple resources, multiple environment, and multiple performance resource operations, and it provides the flight application task organization mode and architecture, System functional processing and architecture, and System physical resource organization mode and architecture. According to the illustration on the concept and organization of the Avionics System architecture, this chapter can be divided into three sections, where Section 2.1 introduces the current organization architecture of Avionics System, including separated, federated, integrated modular, and distributed integrated modular Avionics System. Section 2.2 discusses the hierarchical organization of applications, functions, and resources. Finally, Section 2.3 further discusses the organization mode of the hierarchical Avionics System, including task, function, and physical equipment as well.
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The integration of Avionics System organization
The Principles of Integrated Technology in Avionics Systems, 2020Co-Authors: Guoqing Wang, Wenhao ZhaoAbstract:Abstract The Avionics System organization is a Systemic structured organization. The application task layer, System function layer, and physical equipment layer have independent organization, operation and management modes, supporting System tasks, functions and equipment operation and management, and providing overall System organization and management capabilities. By building an Avionics System application task layer, System function layer, and physical equipment layer integrated organization and management, the Avionics System integration constructs System application tasks, function processing, and physical resources integration operation process to achieve System application tasks, function processing, and physics resource integration optimization goals. Chapter 7 can be divided into five sections. Section 1 introduces the System applications, capabilities, and equipment components. Section 2 describes the flight application mission, System function capabilities, and equipment physical resources integration mode. For the System integration organization, Section 3 describes the System task composition and organization process oriented to the target requirements of flight applications, the System function structure and organization process oriented to application task operation requirements, and the equipment resource composition and organization process oriented to System function processing requirements. Section 4 describes the System function mode of System applications, functions, and equipment. Finally, Section 5 describes the comprehensive technical organization architecture of System application tasks, System functions, and equipment resources.
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The integrated architecture of typical Avionics Systems
The Principles of Integrated Technology in Avionics Systems, 2020Co-Authors: Guoqing Wang, Wenhao ZhaoAbstract:Abstract Typical Avionics System integration architecture describes representatives of typical engineering integrated technical architecture in the development history of Avionics Systems. Through the balance between technological advancement and technological effectiveness, the balance between System organization and System complexity, and the balance between application requirements and development costs, the typical representatives of Avionics System integration technology architecture are formed: the federated System architecture, integrated modular Avionics (IMA) System architecture, and distributed integrated modular Avionics (DIMA) System architecture. Chapter 8 can be divided into three sections where it introduces the federated, IMA, and DIMA System integration one by one. Section 1 discusses that the federated System architecture is based on the digital technology, bus technology, and software technology capabilities at that time, and the application tasks of the System with different equipment are integrated. Section 2 describes that the IMA System architecture is based on the System general computing platform, hosted System application integration, and System network organization technologies to realize the integration of tasks based on IMA platform resources, IMA System functions, and Avionics System applications. And Section 3 describes that the DIMA System architecture is a distributed technology based on the application distributed organization, function distribution processing, and resource distribution operations of the System to achieve the task mode integration, function capability integration, and resource operation integration of Avionics System.
T Mutlu – One of the best experts on this subject based on the ideXlab platform.
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development of a cross compatible micro Avionics System for aerorobotics
IEEE Intelligent Vehicles Symposium, 2007Co-Authors: T Mutlu, Sertac Karaman, S Comak, Ismail Bayezit, Gokhan Inalhan, Levent GuvencAbstract:In this work, we present a micro-Avionics System structured around the controller area network (CAN) bus data backbone. The System is designed to be cross-compatible across our experimental mini-helicopters and ground vehicles, and it is tailored to allow autonomous navigation and control for a variety of different research test cases. The expandable architecture deploys a hybrid selection of COTS Motorola (MPC555) and Arm processor boards (LPC2294), each with different operating Systems and coding techniques (such as rapid algorithmic prototyping using automatic code generation via Matlab/Real Time Workshop Embedded Target). The micro-Avionics System employs a complete sensor suite that provides real-time position, orientation and associated time-rate information. As a part of the on-going fleet autonomy experiments, we present the design of a novel wireless SmartCan node. This wireless node allows seamless CAN Bus access of low-level sensor and operational data of other vehicles within close proximity.