3 edition of A sensor failure simulator for control system reliability studies found in the catalog.
A sensor failure simulator for control system reliability studies
by National Aeronautics and Space Administration, For sale by the National Technical Information Service in [Washington, DC], [Springfield, Va
Written in English
|Statement||Kevin J. Melcher ... [et al.].|
|Series||NASA technical memorandum -- 87271.|
|Contributions||Melcher, Kevin J., United States. National Aeronautics and Space Administration.|
|The Physical Object|
An analytical redundancy scheme for flight control systems. The normal practice for achieving some specified degree of reliability in automatic flight control systems has been to use methods which employ several identical feedback channels. The use of such methods requires additional sensors and other hardware by: 2. Abstract: The jam fault of electro-hydraulic servo valve in steam turbine EHC (electro-hydraulic control) system sadly affects the security of unit. For normal detection method, due to the inaccuracy of non-fault characteristic parameter of object as well as the issue of the reliability and accuracy of sensor itself, the sensitivity and reliability of result can't be by: 1.
Automation and Control Books / Guides. This section covers guides related to automation and control systems as well as information technologies that will help you to reduce the need for human work in the production of goods and services.. Industrial automation and control guides (photo credit: ). From the results it is possible to obtain information regarding the development of the reliability of the digital water level control system created for this study. Observing Figure 4, it is possible to verify that the failure with the largest probability of occurrence is low water by: 1.
However, centralized systems can be sensitive to sensor failure, controller failure, and the reliability of sensor links. The recent study of wireless control systems has encouraged decentralized control approaches to overcome wireless structural control challenges, including limiting the wireless communication required and the associated slow Author: Reuben Verdoljak. The dangerous failure modes of the control system should be determined and taken into account in overall safety system specification. The control system should also be sufficiently independent of the safety systems. The control system may provide steady state or change of state (start-up, shutdown, batch) control functions.
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Outputs of defective sensors simulated for studies of reliability of control systems. Real-time sensor-failure simulator (SFS) designed and built for. A sensor failure simulator for control system reliability studies - NASA/ADS A real-time Sensor Failure Simulator (SFS) was designed and assembled for the Advanced Detection, Isolation, and Accommodation (ADIA) program.
Various designs were considered. The design chosen features an IBM-PC/ by: 2. A user defined scenario describes the failure simulation for each of the five incoming sensor signals.
Capabilities exist for editing, saving, and retrieving the failure scenarios. The SFS has been tested closed-loop with the Controls Interface and Monitoring (CIM) unit, the ADIA control, and a real-time F hybrid simulation.
by detecting sensor failures using analytical redundancy. Various redundancy management techniques have been applied to both the total control system and to individual components.
The least reliable of the control system components are the engine sensors. Typically, sensor redundancy 1s required to achieve adequate control system reliability. A Luenberger observer is used to estimate the torque sensor fault.
The FTC is performed to compensate this sensor fault by using the inverse bond graph (BG) modeling. Our simulations reveal the importance of proposed control strategy to improve the EPS system performance but also to reduce the system : Manel Allous, Kais Mrabet, Nadia Zanzouri. Sensor failure detection and identification (SFDI) is an important issue, particularly when the measurements from a failed sensor are used in the feedback loop of a control by: Reliability Data for Safety Instrumented Systems PDS Data Handbook, Edition 3 PREFACE The present report is an update of the edition of the Reliability Data for Control and Safety Systems, PDS Data Handbook .
The handbook presents data in line with the latest available data sources as well as data for some new equipment. technique in the event of sensor failure or recovery.
In , a method to detect sensor faults and an algorithm to reconﬁgure the control system for interior permanent magnet motor drive have been described. The study focused on the detection of current sensor faults, the analysis of a current observer, and the resilient control of the drive.
sensors in control systems, the increasing reliability of sensors, and the like are topics whose relevance today is not limited to sensor application specialists.
Our objective in this chapter is to discuss sensors from these points of view. Our focus is on the role of sensors in control systems and the trends and outstanding needs by: 6.
A system reliability analysis method based on a dynamic fault tree was proposed to analyse possible fault causes of a whole system in a HLA (High Level Architecture) simulation platform, and according to the principle of the dynamic fault tree model, the conversion from dynamic logic gates to Markov Chain was : W ShangGuan, J Xiao, B Cai, B Heydecker, Jian Wang.
Get this from a library. A sensor failure simulator for control system reliability studies. [Kevin J Melcher; United States. National Aeronautics and Space Administration.]. simulator consists of pedal feel simulator, pedal sensors, pedal and the support frame. Once the sensor failure, the driver's braking intention can't be described correctly, it will cause the failure of the whole EMB system, and even will lead to traffic.
So the electronic brake pedal simulator File Size: KB. Figure Industrial Control System control system, the controller always plays a signi cant role to transact the operating conditions of the system. In most industry implementation, the Programmable Logic Controller (PLC) is used due to its advantages, such as fast response, quick and simple trouble-shoot, low cost and high reliability.
individual components. One of the least reliable of the control system components is the engine sensor. In particular, a study of fault-tolerant electronic engine control s1 shows that sensor redundancy wi 11 be required to achieve adequate control system reliability.
There are three types of sensor redundancy: direct, analytical, and by: 6. The function the optimal value of the periodicity of control.
Conclusion In the paper Markov model for reliability analyses of sensor node in wireless sensor networks is proposed. It is shown that reliability of the sensor node depends on the strategy of it monitoring and is unimodal function of test by: 6.
Reliability-based control optimization for active base isolation systems the ‘failure’ of a control system is related to the states relating to the control law, sensor and actuator dynamics, and the stochastic ground acceleration input model .
The dynamics of the sensors and ground acceleration are modeled. Abstract: In this paper, dynamic simulation methods for reliability evaluation of common industry-based control system architectures are investigated.
Control system design often employs complex reliability structures in the forms of several levels of software and hardware redundancies, hot and cold standby by: 2. • Erratic: output consists of correct sensor values offset by varying amounts in time • Intermittent: occur only occasionally, disrupting whit is otherwise a valid sensor output • Transient: usually due to failure of electronics associated with the sensor (too large current or voltage, interferences, e.g., lightning, radio -interference)File Size: KB.
speed will cause the control command of the operator failure even cause dangerous accidents. Thus, the problem of the control command failure must be taken to resolve because of the speed sensor failure. This paper uses a fault-tolerant control block diagram shown in Fig. Fig.
Four typical encoder Size: 2MB. A Safety Instrumented System (SIS) is designed for the purpose of mitigating a risk or bringing the process to a safe state in the case of a process failure.
This study investigates application of analytical sensor redundancy to improve reliability of gas turbine control system. Analytical redundancy, which uses a reference engine model to provide redundant estimates of a measured engine variables, has been utilized as a basis for the proposed sensor fault detection and accommodation : Vili Panov, Sepehr Maleki.Similar studies related to this topic: • A Monte Carlo Method for Estimating Reliability Parameters of a Complex Repairable Technical System With Inter-Component Dependencies (March ; Malinowski J.) – involves exponential distributions and Monte Carlo Simulations.
• Reliability Analysis of Systems With Operation-Time Management (March ; Ramesh, A., File Size: KB.Reliability, Availability and Maintainability (RAM) Analysis, system duty cycle, breakdown/shutdown, MTTF/MTBF/MTTR, survival, failure/hazard rate, Quantitative Risk Analysis: basic statistics, distributions of failure, probability of failure, consequences of failure, Monte-Carlo Simulation (MCS).