Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/379736
Title: Predictive Controller Based Delay Compensation Approaches in Networked Control System
Researcher: Kumar, Ratish
Guide(s): Kumar, Rajiv and Nigam, Madhav Ji
Keywords: Digital control systems
Electronic controllers
Engineering
Engineering and Technology
Engineering Electrical and Electronic
Estimation theory
Health and hygiene
Kalman filtering
Markov processes
University: Jaypee University of Information Technology, Solan
Completed Date: 2021
Abstract: This is an application-oriented thesis with the aim of developing new algorithms to develop controller within the framework of NCS. newlineScience and Technology advancements contributed significantly to the robustness and efficiency of the Control System. The Fourth Industrial Revolution introduced a holistic approach to the control system. The concept of the control system in-coagulation with communication network transformed to Networked Control System (NCS). Hence, Networked Control System implies a feedback control system in which the controller and the plant, are located at geographically distant locations but, via a communication network or the Internet, share the control signals from the controller to the plant and feedback signals from the sensor to controller. This approach improves the proximity and approachability of NCS. Its applications include remote polyhouse monitoring, remotely controlled defense operations, teleoperation or telesurgery and unmanned aerial vehicles are few to name. These applications rely on quick actuator or control signal manipulation to get the expected outcomes. A significant delay in the processing may have catastrophic consequences. newlineIn the literature, the problem of minimization of time delay is achieved through predictive approaches. The network induced delay is primarily; controller-to-actuator delay (and#964;_ca) and sensor-to-controller delay (and#964;_sc). When the controller directs a control signal to the plant through the network then the time taken by the control signal to reach the plant is termed as sensor-to-controller delay, the time taken by the plant to act accordingly to control signal is included in this delay. Whereas; the delay observed in receiving the feedback signal by the controller from the sensor through the network is termed as sensor-to-controller delay. It also includes the delay observed by the sensor to perceive the output from the plant. The maximum delay observed to stabilize the plant after receiving the control signal is called the deadtime. The deadtime inf
Pagination: xxi,133p.
URI: http://hdl.handle.net/10603/379736
Appears in Departments:Department of Electronics and Communication Engineering

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01_title.pdfAttached File23.62 kBAdobe PDFView/Open
02_declaration.pdf108.54 kBAdobe PDFView/Open
03_certificate.pdf98.31 kBAdobe PDFView/Open
04_acknowledgement.pdf130.27 kBAdobe PDFView/Open
05_content.pdf144.96 kBAdobe PDFView/Open
06_list of graph and table.pdf508.28 kBAdobe PDFView/Open
07_abstract.pdf78.9 kBAdobe PDFView/Open
08_chapter 1.pdf781.91 kBAdobe PDFView/Open
09_chapter 2.pdf100.59 kBAdobe PDFView/Open
10_chapter 3.pdf419.41 kBAdobe PDFView/Open
11_chapter 4.pdf828.36 kBAdobe PDFView/Open
12_chapter 5.pdf1.03 MBAdobe PDFView/Open
13_chapter 6.pdf1.85 MBAdobe PDFView/Open
14_chapter 7.pdf13 kBAdobe PDFView/Open
15_references.pdf221.54 kBAdobe PDFView/Open
16_appendices.pdf153.82 kBAdobe PDFView/Open
80_recommendation.pdf124.24 kBAdobe PDFView/Open
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