Design of a NARX-ANN-Based SP Controller for Control of an Irrigation Main Canal Pool
The management of irrigation main canals are studied in this research. One way of improving this is designing an efficient automatic control system of the water that flows through the canal pools, which is usually carried out by PI controllers. However, since canal pools are systems with large time...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/18/9180 |
| _version_ | 1827663775916883968 |
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| author | Ybrain Hernandez-Lopez Raul Rivas-Perez Vicente Feliu-Batlle |
| author_facet | Ybrain Hernandez-Lopez Raul Rivas-Perez Vicente Feliu-Batlle |
| author_sort | Ybrain Hernandez-Lopez |
| collection | DOAJ |
| description | The management of irrigation main canals are studied in this research. One way of improving this is designing an efficient automatic control system of the water that flows through the canal pools, which is usually carried out by PI controllers. However, since canal pools are systems with large time delays and nonlinear hydrodynamics, these PIs are tuned in a very conservative way so that the closed-loop instability that may appear depending on the chosen operation regime is avoided. These controllers are inefficient because they have slow time responses. In order to obtain faster responses that remain stable independently of the operation regime, a control system that combines a Smith predictor, which is appropriate to control linear systems with large time delays, with a NARX artificial neural network (ANN), that models the nonlinear dynamics of the pools, is proposed. By applying system identification procedures, two nonlinear NARX-ANN-based models and a linear mathematical model of a real canal pool were obtained. These models were applied to implement a modified NARX-ANN-based SP controller and a conventional linear SP controller. Experimental results on our real canal pool showed that our modified NARX-ANN-based SP controller overcomes conventional linear SP controllers in both setpoint tracking and load disturbance rejection. |
| first_indexed | 2024-03-10T00:49:16Z |
| format | Article |
| id | doaj.art-b79e60eaa6ac4e5695e994cad9d1d4f4 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:49:16Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-b79e60eaa6ac4e5695e994cad9d1d4f42023-11-23T14:54:18ZengMDPI AGApplied Sciences2076-34172022-09-011218918010.3390/app12189180Design of a NARX-ANN-Based SP Controller for Control of an Irrigation Main Canal PoolYbrain Hernandez-Lopez0Raul Rivas-Perez1Vicente Feliu-Batlle2Departamento de Automática y Computación, Universidad Tecnológica de la Habana José Antonio Echeverría (CUJAE), La Habana 19390, CubaDepartamento de Automática y Computación, Universidad Tecnológica de la Habana José Antonio Echeverría (CUJAE), La Habana 19390, CubaEscuela Técnica Superior de Ingeniería Industrial de Ciudad Real, Universidad de Castilla-La Mancha (UCLM), Av. Camilo José Cela s/n, 13071 Ciudad Real, SpainThe management of irrigation main canals are studied in this research. One way of improving this is designing an efficient automatic control system of the water that flows through the canal pools, which is usually carried out by PI controllers. However, since canal pools are systems with large time delays and nonlinear hydrodynamics, these PIs are tuned in a very conservative way so that the closed-loop instability that may appear depending on the chosen operation regime is avoided. These controllers are inefficient because they have slow time responses. In order to obtain faster responses that remain stable independently of the operation regime, a control system that combines a Smith predictor, which is appropriate to control linear systems with large time delays, with a NARX artificial neural network (ANN), that models the nonlinear dynamics of the pools, is proposed. By applying system identification procedures, two nonlinear NARX-ANN-based models and a linear mathematical model of a real canal pool were obtained. These models were applied to implement a modified NARX-ANN-based SP controller and a conventional linear SP controller. Experimental results on our real canal pool showed that our modified NARX-ANN-based SP controller overcomes conventional linear SP controllers in both setpoint tracking and load disturbance rejection.https://www.mdpi.com/2076-3417/12/18/9180NARX-ANN-based modelsmodified SP controller designirrigation main canal pool automationsystem identificationmanagement of water resources |
| spellingShingle | Ybrain Hernandez-Lopez Raul Rivas-Perez Vicente Feliu-Batlle Design of a NARX-ANN-Based SP Controller for Control of an Irrigation Main Canal Pool Applied Sciences NARX-ANN-based models modified SP controller design irrigation main canal pool automation system identification management of water resources |
| title | Design of a NARX-ANN-Based SP Controller for Control of an Irrigation Main Canal Pool |
| title_full | Design of a NARX-ANN-Based SP Controller for Control of an Irrigation Main Canal Pool |
| title_fullStr | Design of a NARX-ANN-Based SP Controller for Control of an Irrigation Main Canal Pool |
| title_full_unstemmed | Design of a NARX-ANN-Based SP Controller for Control of an Irrigation Main Canal Pool |
| title_short | Design of a NARX-ANN-Based SP Controller for Control of an Irrigation Main Canal Pool |
| title_sort | design of a narx ann based sp controller for control of an irrigation main canal pool |
| topic | NARX-ANN-based models modified SP controller design irrigation main canal pool automation system identification management of water resources |
| url | https://www.mdpi.com/2076-3417/12/18/9180 |
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