Depth-Keeping Control for a Deep-Sea Self-Holding Intelligent Buoy System Based on Inversion Time Constraint Stability Strategy Optimization
Based on the nonlinear disturbance observer (NDO), the inversion time-constraint stability strategy (ITCS) is designed to make the deep-sea self-holding intelligent buoy (DSIB) system hovered at an appointed depth within a specified time limit. However, it is very challenging to determine the optima...
| Main Authors: | , , , , , |
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| Format: | Article |
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MDPI AG
2022-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/3/1096 |
| _version_ | 1797484680022327296 |
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| author | Qiang Wang Xingfei Li Zurong Qiu Shizhong Yang Wei Zhou Jingbo Zhao |
| author_facet | Qiang Wang Xingfei Li Zurong Qiu Shizhong Yang Wei Zhou Jingbo Zhao |
| author_sort | Qiang Wang |
| collection | DOAJ |
| description | Based on the nonlinear disturbance observer (NDO), the inversion time-constraint stability strategy (ITCS) is designed to make the deep-sea self-holding intelligent buoy (DSIB) system hovered at an appointed depth within a specified time limit. However, it is very challenging to determine the optimal parameters of an ITCS depth controller. Firstly, a genetic algorithm based on quantum theory (QGA) is proposed to obtain the optimal parameter combination by using the individual expression form of quantum bit and the adjustment strategy of quantum rotary gate. To improve the speed and accuracy of global search in the QGA optimization process, taking the number of odd and even evolutions as the best combination point of the genetic and chaos particle swarm algorithm (GACPSO), an ITCS depth controller based on GACPSO strategy is proposed. Besides, the simulations and hardware-in-the-loop system experiments are conducted to examine the effectiveness and feasibility of the proposed QGA–ITCS and GACPSO–ITCS depth controller. The results show that the proposed GACPSO–ITCS depth controller provides higher stability with smaller steady-state error and less settling time in the depth-control process. The research of the proposed method can provide a stable operation condition for the marine sensors carried by the DSIB. |
| first_indexed | 2024-03-09T23:07:53Z |
| format | Article |
| id | doaj.art-728dab3315bd480395cb0a4214299343 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T23:07:53Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-728dab3315bd480395cb0a42142993432023-11-23T17:50:24ZengMDPI AGSensors1424-82202022-01-01223109610.3390/s22031096Depth-Keeping Control for a Deep-Sea Self-Holding Intelligent Buoy System Based on Inversion Time Constraint Stability Strategy OptimizationQiang Wang0Xingfei Li1Zurong Qiu2Shizhong Yang3Wei Zhou4Jingbo Zhao5School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, ChinaState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, ChinaState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, ChinaBased on the nonlinear disturbance observer (NDO), the inversion time-constraint stability strategy (ITCS) is designed to make the deep-sea self-holding intelligent buoy (DSIB) system hovered at an appointed depth within a specified time limit. However, it is very challenging to determine the optimal parameters of an ITCS depth controller. Firstly, a genetic algorithm based on quantum theory (QGA) is proposed to obtain the optimal parameter combination by using the individual expression form of quantum bit and the adjustment strategy of quantum rotary gate. To improve the speed and accuracy of global search in the QGA optimization process, taking the number of odd and even evolutions as the best combination point of the genetic and chaos particle swarm algorithm (GACPSO), an ITCS depth controller based on GACPSO strategy is proposed. Besides, the simulations and hardware-in-the-loop system experiments are conducted to examine the effectiveness and feasibility of the proposed QGA–ITCS and GACPSO–ITCS depth controller. The results show that the proposed GACPSO–ITCS depth controller provides higher stability with smaller steady-state error and less settling time in the depth-control process. The research of the proposed method can provide a stable operation condition for the marine sensors carried by the DSIB.https://www.mdpi.com/1424-8220/22/3/1096deep-sea self-holding intelligent buoy (DSIB)inversion time-constraint stability (ITCS)quantum genetic algorithm (QGA)chaotic particle swarm optimization (CPSO)depth control |
| spellingShingle | Qiang Wang Xingfei Li Zurong Qiu Shizhong Yang Wei Zhou Jingbo Zhao Depth-Keeping Control for a Deep-Sea Self-Holding Intelligent Buoy System Based on Inversion Time Constraint Stability Strategy Optimization Sensors deep-sea self-holding intelligent buoy (DSIB) inversion time-constraint stability (ITCS) quantum genetic algorithm (QGA) chaotic particle swarm optimization (CPSO) depth control |
| title | Depth-Keeping Control for a Deep-Sea Self-Holding Intelligent Buoy System Based on Inversion Time Constraint Stability Strategy Optimization |
| title_full | Depth-Keeping Control for a Deep-Sea Self-Holding Intelligent Buoy System Based on Inversion Time Constraint Stability Strategy Optimization |
| title_fullStr | Depth-Keeping Control for a Deep-Sea Self-Holding Intelligent Buoy System Based on Inversion Time Constraint Stability Strategy Optimization |
| title_full_unstemmed | Depth-Keeping Control for a Deep-Sea Self-Holding Intelligent Buoy System Based on Inversion Time Constraint Stability Strategy Optimization |
| title_short | Depth-Keeping Control for a Deep-Sea Self-Holding Intelligent Buoy System Based on Inversion Time Constraint Stability Strategy Optimization |
| title_sort | depth keeping control for a deep sea self holding intelligent buoy system based on inversion time constraint stability strategy optimization |
| topic | deep-sea self-holding intelligent buoy (DSIB) inversion time-constraint stability (ITCS) quantum genetic algorithm (QGA) chaotic particle swarm optimization (CPSO) depth control |
| url | https://www.mdpi.com/1424-8220/22/3/1096 |
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