Recent advances in smart actuator and fieldbus technologies are promoting changes in PID controller design issues. By employing a built-in microprocessor a smart actuator, in general, is capable of self-validation and...
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Recent advances in smart actuator and fieldbus technologies are promoting changes in PID controller design issues. By employing a built-in microprocessor a smart actuator, in general, is capable of self-validation and compensation. In this paper, online retuning of PID controller for a distributed system that contains a smart actuator is explored. The on-line controller retuning is carried out using a set of validation data generated by a smart actuator. The proposed approach is investigated by means of a distributed architecture demonstrator which consists of a set of PCs and a stepper-motor based smart actuator interconnected through fieldbus network.
Currently, there is considerable interest in adopting distributed controlsystems for aerospace applications. This is being driven by the perceived advantages: fewer and shorter buses, intrinsic partitioning, smaller ...
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Currently, there is considerable interest in adopting distributed controlsystems for aerospace applications. This is being driven by the perceived advantages: fewer and shorter buses, intrinsic partitioning, smaller control box size, increased health monitoring, increased system flexibility and reduced vulnerability to hazardous events and the advent of smart sensors and actuators. Designers are faced with a highly complex, laborious process of assessing the trade-offs and constraints from many different design disciplines. In this work a design environment is being developed to aid systems engineers in the selection and optimisation of controlsystems architectures
The increasing numbers of commercial decision support tools based on Case-Based Reasoning (CBR) technology reflects the interest in the use of this technology to aid fault diagnosis, not only in gas turbine applicatio...
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The increasing use of embedded intelligence to produce smart sensors and actuators offers great potential benefits in adopting a distributed control strategy in aerospace applications. There are many advantages to be ...
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The increasing use of embedded intelligence to produce smart sensors and actuators offers great potential benefits in adopting a distributed control strategy in aerospace applications. There are many advantages to be ...
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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...
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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....
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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...
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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...
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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.
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