Increasingly, there is a move towards in-built intelligence for sensors and actuators to produce "smart" components leading to distributed heterogeneous systems. Of particular interest to safety-critical sys...
详细信息
Increasingly, there is a move towards in-built intelligence for sensors and actuators to produce "smart" components leading to distributed heterogeneous systems. Of particular interest to safety-critical systems is utilisation of the local intelligence to provide health monitoring, fault detection and fault tolerance. However, crucial to system safety is the ability to predict time delays in the system and analyse their effect on control system perfonnance. For real-time systems the delays associated with communicating diagnostic messages may result in safety deadlines being missed. At present, smart components are integrated in an ad-hoc way. This research is exploring how distributed processing capability can be exploited to improve controller performance and increase fault tolerant capability to create high availability systems for gas turbine engine control.
Over the past 10 years the cost of embedding intelligence into sensors and actuators directly has dramatically reduced. This has led to the recent explosion of smart sensors and actuators available from manufacturers....
详细信息
Over the past 10 years the cost of embedding intelligence into sensors and actuators directly has dramatically reduced. This has led to the recent explosion of smart sensors and actuators available from manufacturers. Initially, these have been developed for the process control industries but increasingly applications in aerospace are being found. Integration of intelligent components is being done in an ad hoc manner by incorporating smart elements in inherently centralised architectures. This paper discusses the application of multi-disciplinary, multi-objective optimisation to a military gas turbine engine control system architecture design where implementation benefits need to be traded off against implementation penalties.
In aerospace, adoption of a distributed control strategy has many advantages such as: fewer and shorter buses, intrinsic partitioning, smaller control box size, increased health monitoring, increased system flexibilit...
详细信息
In aerospace, adoption of a distributed control strategy has many advantages such as: fewer and shorter buses, intrinsic partitioning, smaller control box size, increased health monitoring, increased system flexibility and reduced vulnerability to hazardous events. However, this has to be traded off against the problems of greater complexity, processor diversity, accessibility, exposure of electronics to severe environments, power distribution, software production costs and management. This paper discusses the application of multi-disciplinary multi-objective optimisation to military gas turbine engine controller architecture design.
Functional Hazard Assessment (FHA) is being increasingly recommended (e.g. by the Aerospace Recommended Practice-ARP 4754 [SAE94]) as a means of performing hazard identification. However, many of the available example...
Functional Hazard Assessment (FHA) is being increasingly recommended (e.g. by the Aerospace Recommended Practice-ARP 4754 [SAE94]) as a means of performing hazard identification. However, many of the available example applications of this approach (including that given in ARP 4761 [SAE95]) are illustrated either for aircraft-level functions or sub-system functions with obvious and visible functional effects. Our experience is that it can be difficult to apply FHA for lower level aircraft systems (specifically at the level of the engine controller) where, due to the level of complexity and integration with other systems, the overall effects of functional failure are far from obvious. In this paper, we describe the problems we have encountered when applying FHA and the (partial) solutions we have proposed in order to overcome these problems.
Highly sophisticated control strategies are generally employed to control aircraft gas turbine engines which have to operate in harsh environmental conditions. Faults are difficult to detect with this increased comple...
详细信息
Highly sophisticated control strategies are generally employed to control aircraft gas turbine engines which have to operate in harsh environmental conditions. Faults are difficult to detect with this increased complexity and the present fault detection systems sometimes indicate the wrong components to be faulty. These faults cost the airline industry millions of pounds each year. To improve the performance of these existing systems an autonomously learning fault detection system is proposed. The system is capable of detecting new faults and also adapting to faults that are similar to faults previously encountered. This paper presents the performance of this system when applied to real engine data and gives details on the improvements made to the system.
This paper describes a reuse-oriented approach to software development currently being investigated at rolls Smith Engine controls Limited (RoSEC). It argues that reuse be structured at three levels: domain, component...
详细信息
This paper describes a reuse-oriented approach to software development currently being investigated at rolls Smith Engine controls Limited (RoSEC). It argues that reuse be structured at three levels: domain, component and artifact. The authors demonstrate how these three levels have been used to achieve the systematic reuse of requirements for engine control software. Practical lessons from applying domain-specific techniques to system development are also discussed.
Gas turbine engines are highly non-linear, multi-sample rate, multi-input/multioutput systelus with fast changing dynamics. As a consequence a representative gas turbine engine model that comprises of the engine, its ...
详细信息
Gas turbine engines are highly non-linear, multi-sample rate, multi-input/multioutput systelus with fast changing dynamics. As a consequence a representative gas turbine engine model that comprises of the engine, its accessories and the controller, is extremely complex and interactive, incorporating look-up tables derived from real engine data and a mixture of continuous and logical functions. In this paper, a SIMULINK model of the gas turbine engine and controller is described. This model is being primarily used for generating simulated fault data that is being used to train neural networks for fault diagnosis. The current work focuses on using Resource Allocating Networks (RAN) to not only identify faults but to give an indication of the duration of the faults
暂无评论