Regression model for tuning the PID controller with fractional order time delay system
In this paper a regression model based for tuning proportional integral derivative (PID) controller with fractional order time delay system is proposed. The novelty of this paper is that tuning parameters of the fractional order time delay system are optimally predicted using the regression model. I...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2014-12-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447914000495 |
| _version_ | 1818737560520753152 |
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| author | S.P. Agnihotri Laxman Madhavrao Waghmare |
| author_facet | S.P. Agnihotri Laxman Madhavrao Waghmare |
| author_sort | S.P. Agnihotri |
| collection | DOAJ |
| description | In this paper a regression model based for tuning proportional integral derivative (PID) controller with fractional order time delay system is proposed. The novelty of this paper is that tuning parameters of the fractional order time delay system are optimally predicted using the regression model. In the proposed method, the output parameters of the fractional order system are used to derive the regression function. Here, the regression model depends on the weights of the exponential function. By using the iterative algorithm, the best weight of the regression model is evaluated. Using the regression technique, fractional order time delay systems are tuned and the stability parameters of the system are maintained. The effectiveness and feasibility of the proposed technique is demonstrated through the MATLAB/Simulink platform, as well as testing and comparison using the classical PID controller, Ziegler–Nichols tuning method, Wang tuning method and curve fitting technique base tuning method. |
| first_indexed | 2024-12-18T00:54:59Z |
| format | Article |
| id | doaj.art-b379969c7dc84b57b67547db66899982 |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-12-18T00:54:59Z |
| publishDate | 2014-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-b379969c7dc84b57b67547db668999822022-12-21T21:26:33ZengElsevierAin Shams Engineering Journal2090-44792014-12-01541071108110.1016/j.asej.2014.04.007Regression model for tuning the PID controller with fractional order time delay systemS.P. AgnihotriLaxman Madhavrao WaghmareIn this paper a regression model based for tuning proportional integral derivative (PID) controller with fractional order time delay system is proposed. The novelty of this paper is that tuning parameters of the fractional order time delay system are optimally predicted using the regression model. In the proposed method, the output parameters of the fractional order system are used to derive the regression function. Here, the regression model depends on the weights of the exponential function. By using the iterative algorithm, the best weight of the regression model is evaluated. Using the regression technique, fractional order time delay systems are tuned and the stability parameters of the system are maintained. The effectiveness and feasibility of the proposed technique is demonstrated through the MATLAB/Simulink platform, as well as testing and comparison using the classical PID controller, Ziegler–Nichols tuning method, Wang tuning method and curve fitting technique base tuning method.http://www.sciencedirect.com/science/article/pii/S2090447914000495Regression modelPID controllerIterative algorithmFractional orderTime delay and system |
| spellingShingle | S.P. Agnihotri Laxman Madhavrao Waghmare Regression model for tuning the PID controller with fractional order time delay system Ain Shams Engineering Journal Regression model PID controller Iterative algorithm Fractional order Time delay and system |
| title | Regression model for tuning the PID controller with fractional order time delay system |
| title_full | Regression model for tuning the PID controller with fractional order time delay system |
| title_fullStr | Regression model for tuning the PID controller with fractional order time delay system |
| title_full_unstemmed | Regression model for tuning the PID controller with fractional order time delay system |
| title_short | Regression model for tuning the PID controller with fractional order time delay system |
| title_sort | regression model for tuning the pid controller with fractional order time delay system |
| topic | Regression model PID controller Iterative algorithm Fractional order Time delay and system |
| url | http://www.sciencedirect.com/science/article/pii/S2090447914000495 |
| work_keys_str_mv | AT spagnihotri regressionmodelfortuningthepidcontrollerwithfractionalordertimedelaysystem AT laxmanmadhavraowaghmare regressionmodelfortuningthepidcontrollerwithfractionalordertimedelaysystem |