Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/585238
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dc.date.accessioned2024-08-23T10:39:46Z-
dc.date.available2024-08-23T10:39:46Z-
dc.identifier.urihttp://hdl.handle.net/10603/585238-
dc.description.abstractnewlineThis thesis presents an in-depth investigation into adaptive control strategies applied to dynamical systems, with a focus on two representative systems: the Two-Tank Coupled System (TTCS) and the Inverted Pendulum System (IPS). The study begins by examining the impact of adaptation gain and reference model selection on both first and second-order systems, laying the groundwork for subsequent research. After that, conventional MIT (Massachusetts Institute of Technology), Lyapunov and fractional order MIT(FOMIT) rule-based Model Reference Adaptive Controllers (MRAC) are designed and evaluated for the two-tank coupled system. Subsequently,the modifications in MRAC with PD (Proportional Derivative) and PID (Proportional Integral Derivative) controllers explored to enhance the performance. Transitioning to the inverted pendulum system, conventional MIT,fractional order MIT and modified rule-based MRAC schemes are developed to tackle the inherent instability of the Hinged Inverted Pendulum System. At the end of this thesis, a range of control methodologies including PID, PID with LQR (Linear Quadratic Regulator), Model Predictive Control (MPC), and Adaptive Model Predictive Control (AMPC) are implemented and compared for an Inverted Pendulum Cart System (IPCS). This comprehensive investigation offers valuable insights and methodologies personalized to the complexities of dynamical systems, contributing to the advancement of adaptive control strategies. newlineAn adaptive control law encompasses a regulating control rule compensating for system dynamics variations by adjusting the controller characteristics to maintain the overall system performance. Recently some techniques have been developed based on fundamental aspects of the adaptability of living organisms. The adaptive control method is a technique that measures the dynamic characteristics of the plant automatically and continuously to make a comparison with its required output. It utilizes the difference between plant output and reference output to commut
dc.format.extentXXIX, 183
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleInvestigations on Adaptive Control Schemes to Dynamical Systems
dc.title.alternative
dc.creator.researcherGupta, Dhananjay
dc.subject.keyword
dc.subject.keywordAdaptive control systems
dc.subject.keywordControl theory
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordLyapunov stability
dc.description.note
dc.contributor.guideKumar, Awadhesh and Giri, V K
dc.publisher.placeGorakhpur
dc.publisher.universityMadan Mohan Malaviya University of Technology
dc.publisher.institutionDepartment of Electrical Engineering
dc.date.registered2020
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical Engineering

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01_title.pdfAttached File188.72 kBAdobe PDFView/Open
02_prelim pages.pdf3.83 MBAdobe PDFView/Open
03_contents.pdf854.26 kBAdobe PDFView/Open
04_abstract.pdf1.48 MBAdobe PDFView/Open
05_chapter 1.pdf4.97 MBAdobe PDFView/Open
06_chapter 2.pdf9.24 MBAdobe PDFView/Open
07_chapter 3.pdf7.53 MBAdobe PDFView/Open
08_chapter 4.pdf4.76 MBAdobe PDFView/Open
09_chapter 5.pdf4.23 MBAdobe PDFView/Open
10_chapter 6.pdf9.39 MBAdobe PDFView/Open
11_chapter 7.pdf1.51 MBAdobe PDFView/Open
12_annexures.pdf11.3 MBAdobe PDFView/Open
80_recommendation.pdf1.7 MBAdobe PDFView/Open


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