Online tuning of fuzzy logic controller using Kalman algorithm for conical tank system
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional Autónoma de México
2017
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| _version_ | 1876461567500877824 |
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| author | G.M. Tamilselvan |
| author_facet | G.M. Tamilselvan |
| contents | Online tuning of fuzzy logic controller using Kalman algorithm for conical tank system G.M. Tamilselvan P. Aarthy Ingeniería Matlab Kalman algorithm Fuzzy logic controller Proportional integral derivative controller n a non-linear process like conical tank system, controlling the liquid level was carried out by proportional integral derivative (PID) controller. But then it does not provide an accurate result. So in order to obtain accurate and effective response, intelligence is added into the system by using fuzzy logic controller (FLC). FLC which helps in maintaining the liquid level in a conical tank has been developed and applied to various fields. The result acquired using FLC will be more precise when compared to PID controller. But FLC cannot adapt a wide range of working environments and also there is no systematic method to design the membership functions (MFs) for inputs and outputs of a fuzzy system. So an adaptive algorithm called Kalman algorithm which employs fuzzy logic rules is used to adapt the Kalman filter to accommodate changes in the system parameters. The Kalman algorithm which employs fuzzy logic rules adjust the controller parameters automatically during the operation process of a system and controller is used to reduce the error in noisy environments. This technique is applied in a conical tank system. Simulations and results show that this method is effective for using fuzzy controller. 2017 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47453722009 https://www.redalyc.org/journal/474/47453722009/ https://www.redalyc.org/journal/474/47453722009/html/ https://www.redalyc.org/journal/474/47453722009/47453722009.epub https://www.redalyc.org/journal/474/47453722009/movil en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.5 Vol.15 |
| format | Artículo científico |
| id | redalyc_47453722009 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Online tuning of fuzzy logic controller using Kalman algorithm for conical tank system G.M. Tamilselvan Ingeniería Matlab Kalman algorithm Fuzzy logic controller Proportional integral derivative controller Online tuning of fuzzy logic controller using Kalman algorithm for conical tank system G.M. Tamilselvan P. Aarthy Ingeniería Matlab Kalman algorithm Fuzzy logic controller Proportional integral derivative controller n a non-linear process like conical tank system, controlling the liquid level was carried out by proportional integral derivative (PID) controller. But then it does not provide an accurate result. So in order to obtain accurate and effective response, intelligence is added into the system by using fuzzy logic controller (FLC). FLC which helps in maintaining the liquid level in a conical tank has been developed and applied to various fields. The result acquired using FLC will be more precise when compared to PID controller. But FLC cannot adapt a wide range of working environments and also there is no systematic method to design the membership functions (MFs) for inputs and outputs of a fuzzy system. So an adaptive algorithm called Kalman algorithm which employs fuzzy logic rules is used to adapt the Kalman filter to accommodate changes in the system parameters. The Kalman algorithm which employs fuzzy logic rules adjust the controller parameters automatically during the operation process of a system and controller is used to reduce the error in noisy environments. This technique is applied in a conical tank system. Simulations and results show that this method is effective for using fuzzy controller. 2017 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47453722009 https://www.redalyc.org/journal/474/47453722009/ https://www.redalyc.org/journal/474/47453722009/html/ https://www.redalyc.org/journal/474/47453722009/47453722009.epub https://www.redalyc.org/journal/474/47453722009/movil en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.5 Vol.15 |
| title | Online tuning of fuzzy logic controller using Kalman algorithm for conical tank system |
| topic | Ingeniería Matlab Kalman algorithm Fuzzy logic controller Proportional integral derivative controller |
| url | https://www.redalyc.org/articulo.oa?id=47453722009 https://www.redalyc.org/journal/474/47453722009/ https://www.redalyc.org/journal/474/47453722009/html/ https://www.redalyc.org/journal/474/47453722009/47453722009.epub https://www.redalyc.org/journal/474/47453722009/movil |