Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment
Ventilator is important equipment for mines as it safeguards the lives under the shaft and ensures other equipment’s proper functioning by providing fresh air. Therefore, how to effectively control the ventilator system becomes more significant. In order to acquire the commonly used model and contro...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/9861642 |
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| _version_ | 1832566319065595904 |
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| author | Ranhui Liu Xinyan Hu Chengyuan Zhang Chuanxi Liu |
| author_facet | Ranhui Liu Xinyan Hu Chengyuan Zhang Chuanxi Liu |
| author_sort | Ranhui Liu |
| collection | DOAJ |
| description | Ventilator is important equipment for mines as it safeguards the lives under the shaft and ensures other equipment’s proper functioning by providing fresh air. Therefore, how to effectively control the ventilator system becomes more significant. In order to acquire the commonly used model and control strategy for ventilator systems, a new universal ventilator model is established based on the blast capacity differential pressure in the ventilating duct and the ventilator motor model. Then, an adaptive Chebyshev neural network (ACNN) controller is proposed to effectively control the ventilator system where the unknown load torque and the unknown disturbance caused by the complex environment under the shaft are approximated by the Chebyshev neural network (CNN). Afterwards, an appropriate Lyapunov function candidate is designed to guarantee the stability of the proposed controller and the closed-loop ventilator system. Finally, the ACNN controller has been demonstrated to be effective in terms of validity and precision for the new proposed ventilator model through the simulations. |
| format | Article |
| id | doaj-art-0e22405db1db4471bf0144fb22ad05c1 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-0e22405db1db4471bf0144fb22ad05c12025-02-03T01:04:28ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/98616429861642Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine EnvironmentRanhui Liu0Xinyan Hu1Chengyuan Zhang2Chuanxi Liu3Intelligent Equipment Academy, Shandong University of Science and Technology, Tai’an 271019, ChinaIntelligent Equipment Academy, Shandong University of Science and Technology, Tai’an 271019, ChinaIntelligent Equipment Academy, Shandong University of Science and Technology, Tai’an 271019, ChinaIntelligent Equipment Academy, Shandong University of Science and Technology, Tai’an 271019, ChinaVentilator is important equipment for mines as it safeguards the lives under the shaft and ensures other equipment’s proper functioning by providing fresh air. Therefore, how to effectively control the ventilator system becomes more significant. In order to acquire the commonly used model and control strategy for ventilator systems, a new universal ventilator model is established based on the blast capacity differential pressure in the ventilating duct and the ventilator motor model. Then, an adaptive Chebyshev neural network (ACNN) controller is proposed to effectively control the ventilator system where the unknown load torque and the unknown disturbance caused by the complex environment under the shaft are approximated by the Chebyshev neural network (CNN). Afterwards, an appropriate Lyapunov function candidate is designed to guarantee the stability of the proposed controller and the closed-loop ventilator system. Finally, the ACNN controller has been demonstrated to be effective in terms of validity and precision for the new proposed ventilator model through the simulations.http://dx.doi.org/10.1155/2020/9861642 |
| spellingShingle | Ranhui Liu Xinyan Hu Chengyuan Zhang Chuanxi Liu Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment Complexity |
| title | Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment |
| title_full | Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment |
| title_fullStr | Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment |
| title_full_unstemmed | Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment |
| title_short | Adaptive Chebyshev Neural Network Control for Ventilator Model under the Complex Mine Environment |
| title_sort | adaptive chebyshev neural network control for ventilator model under the complex mine environment |
| url | http://dx.doi.org/10.1155/2020/9861642 |
| work_keys_str_mv | AT ranhuiliu adaptivechebyshevneuralnetworkcontrolforventilatormodelunderthecomplexmineenvironment AT xinyanhu adaptivechebyshevneuralnetworkcontrolforventilatormodelunderthecomplexmineenvironment AT chengyuanzhang adaptivechebyshevneuralnetworkcontrolforventilatormodelunderthecomplexmineenvironment AT chuanxiliu adaptivechebyshevneuralnetworkcontrolforventilatormodelunderthecomplexmineenvironment |