Reference design and comparative analysis of model reference adaptive control for steam turbine speed control

Feyo, Abu; Thelkar, Amruth Ramesh; Bharatiraja, C.; Adedayo, Yusuff

doi:10.5937/fme2002329f

Cited by 7 publications

(2 citation statements)

References 23 publications

(21 reference statements)

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“…This rule was devised by the Massachusetts Institute of Technology (MIT); therefore, it is commonly known as the MIT rule. It applies the MRAC scheme [20][21][22] to real-world systems. For the stability analysis of the system by the MIT rule, we needed a loss function J, often known as the cost function, which may be illustrated using [23][24][25][26][27],…”

Section: Mit Rulementioning

confidence: 99%

Investigations on MIT and Lyapunov rule-based modified MRAC for noninteracting and interacting two-tank coupled systems

Gupta,

Kumar,

Kumar

2024

FME Transactions

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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 compute adaptable system parameters to maintain optimal performance regardless of the system variations. The behavior of the adaptation rule is significantly affected by the adaptation gain value. This paper describes the design of MIT (Massachusetts Institute of Technology) and Lyapunov rule-based modified Model Reference Adaptative Controller (MRAC) to stabilize a non-interacting and interacting two-tank process system. Investigation of variation in adaptation gain has also been done. Initially, a traditional MIT and Lyapunov rule-based MRAC is designed to stabilize the non-interacting and interacting tow-tank coupled system and it is found that both the systems are stable only for a few values of adaptation gain. To overcome this problem the modified MRAC is planned to stabilize and improve the response of the system. The modified MRAC scheme is just the PD (Proportional Derivative) controller superimposed on the MRAC control method. Now with the modified MRAC, the systems have been stabilized and their response has been improved for the wide range of adaptation gains. The comparative analysis of traditional and modified MRAC has also been presented. The performance analysis in terms of rise time, settling time, and peak overshoot has been carried out by comparing the results obtained for all the mentioned rules with the variations in the adaptation gain, on the MATLAB/Simulink platform. The obtained results present encouraging outcomes.

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Section: Mit Rulementioning

confidence: 99%

Investigations on MIT and Lyapunov rule-based modified MRAC for noninteracting and interacting two-tank coupled systems

Gupta,

Kumar,

Kumar

2024

FME Transactions

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“…When the fluid stature is low, the framework might need to have inconsistent meanings. Due to their non-straight element conduct, current interactions present several shifting control challenges [1]. Nonlinear models are utilized where precision over a more extensive scope of tasks is required and where they can be straightforwardly fused into the regulator calculation.…”

Section: Introductionmentioning

confidence: 99%

Modeling and performance analysis of FOPID controller for interacting coupled tank system

Ramesh,

Bharatiraja,

Teka

et al. 2023

FME Transactions

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Process control is fundamental in modern interaction since it ensures security and improvement in a cycle. Furthermore, process control is a valuable apparatus to fulfill the ecological strategy and item quality necessities. In ventures, one of the controlling system factors is fluid level, the fluid level regulators are a critical concern and well-known interaction, and the aggregate illustrative additionally genuine world in designing techniques. Fluid-level coupled tank framework can be set up into two popular types of interfacing and non-associating structure. This work centers around associating coupled tank control frameworks, numerous issues impacting the fluid level like nonlinearity of the framework, displaying vulnerabilities, and complex investigation, so to conquer those issues, to acquire steady stable results and quick reactions different regulators are required. The liquid must be transferred and kept in a holder for control design in the modern day. The study of a partial request proportional-integralderivative (PID) regulator for controlling a fluid level of the tank framework is presented in this work. FOPID and TID controller techniques are tested and demonstrated for coupling connected tank systems using several partial request regulators, including Commande Robuste d'Ordre Non-Entire (CRONE), Tilt-Integral Derivative (TID), and Fractional order PID (FOPID). The result reaction is directed with the MATLAB®/Simulink® circumstance to check the exhibition of the framework. The reproduction results showed that by controlling connecting coupled tank system (CTS) without aggravation, the reaction is great, however remembering outside unsettling influence for the subsequent tank, the regulator shows a feeble reaction aside from the FOPID regulator. The explanation is FOPID regulator has at least two changed boundaries that expand the vigor of the framework. From the regulators tried in this work, the partial request relative basic subordinate regulator (FOPID) has great execution contrasted with PID, TID, and digital-PID regulators. The accomplished presentation particularly of the FOPID regulator is a better performance for CTS compared to the other listed controllers.

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Design of low-power coupled chopper instrumentation amplifier using pin pong ripple reduction for biomedical applications

Krishnamoorthy¹,

Kodandapani

Kasilingam³

et al. 2021

Materials Today: Proceedings

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Reference design and comparative analysis of model reference adaptive control for steam turbine speed control

Cited by 7 publications

References 23 publications

Investigations on MIT and Lyapunov rule-based modified MRAC for noninteracting and interacting two-tank coupled systems

Investigations on MIT and Lyapunov rule-based modified MRAC for noninteracting and interacting two-tank coupled systems

Modeling and performance analysis of FOPID controller for interacting coupled tank system

Design of low-power coupled chopper instrumentation amplifier using pin pong ripple reduction for biomedical applications

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