Degeneration Methods in Intelligent Building Control System Design

Arakaki, Julio

doi:10.1007/978-0-387-36594-7_50

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…It consists of a knowledge base, a feature recognition, an inference engine and so on [5]. The knowledge base stores the rule models, steady state mathematical models, empirical knowledge, and operating laws for the process, etc [6][7][8][9].…”

Section: Expert Control Systemmentioning

confidence: 99%

Expert controller in multi-variable System of Temperature and Humidity

Yinping¹,

Lu²

2017

International Journal of Engineering &Amp; Applied Sciences

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In order to ensure the humidity-and heat-resistance ability of the equipment, this paper, combined with the environment simulation test of an engineering equipment system, designs the control system of humidity-heat simulation test with S7-300 as the control core. This paper analyzes the temperature and humidity model in laboratory, and applies the principle of the expert control to the system control algorithm to improve the control performance of the system, which shows the characteristics of lagging, nonlinearity, interactive coupling of temperature control and humidity control, etc.

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Section: Expert Control Systemmentioning

confidence: 99%

Expert controller in multi-variable System of Temperature and Humidity

Yinping¹,

Lu²

2017

International Journal of Engineering &Amp; Applied Sciences

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“…On the other hand, to assure that a FPS does not suffer interruption due to faults of its components, an AFTCS (active fault-tolerant control system) mechanism must be considered [4]. This mechanism involve the detection of the fault, study of its effects, identification of causes and finally, the system reconfiguration that is done by relocating processes and choosing alternative interaction paths between processes [5]. In case of faults the strategy is to recover the system functionalities (regeneration) or to maintain critical operations in such a way that some parts of the system are disabled, but not affecting other parts of the system (degeneration).…”

Section: Introductionmentioning

confidence: 99%

Design of Active Holonic Fault-Tolerant Control Systems

Silva¹,

Filho²

2011

Technological Innovation for Sustainability

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The adequate evaluation of new technologies in productive systems that perform multiple and simultaneous processes, exploring the intense sharing of resources, demands the updating of supervision and control systems. On the other hand, totally infallible systems are unviable, and for a flexible productive system (FPS) does not to suffer interruptions due to component failure, the concept of AFTCS (active fault-tolerant control system) mechanism must be adopted. In this sense, holonic control system (HCS) is considered a trend for an intelligent automation and the combination of HCS techniques and AFTCS is fundamental to assure efficiency, flexibility and robustness of FPSs. Therefore, this work presents a procedure for the modeling of active holonic fault-tolerant control system (AHFTCS) that considers AFTCS' requirements and interpreted Petri net for the description of the systems' behavior. This method is applied to an intelligent building (IB) as a class of FPS and the results are presented.

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