Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules
High integration of multi-functional instruments raises a critical issue in temperature control that is challenging due to its spatial–temporal complexity. This paper presents a multi-input multi-output (MIMO) self-tuning temperature sensing and control system for efficiently modulating the temperat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-10-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/10/1709 |
| _version_ | 1828275376375201792 |
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| author | Zhen Zhang Cheng Ma Rong Zhu |
| author_facet | Zhen Zhang Cheng Ma Rong Zhu |
| author_sort | Zhen Zhang |
| collection | DOAJ |
| description | High integration of multi-functional instruments raises a critical issue in temperature control that is challenging due to its spatial–temporal complexity. This paper presents a multi-input multi-output (MIMO) self-tuning temperature sensing and control system for efficiently modulating the temperature environment within a multi-module instrument. The smart system ensures that the internal temperature of the instrument converges to a target without the need of a system model, thus making the control robust. The system consists of a fully-connected proportional–integral–derivative (PID) neural network (FCPIDNN) and an on-line self-tuning module. The experimental results show that the presented system can effectively control the internal temperature under various mission scenarios, in particular, it is able to self-reconfigure upon actuator failure. The system provides a new scheme for a complex and time-variant MIMO control system which can be widely applied for the distributed measurement and control of the environment in instruments, integration electronics, and house constructions. |
| first_indexed | 2024-04-13T06:46:44Z |
| format | Article |
| id | doaj.art-8f671968553b4da0a9382d8c80360dd3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T06:46:44Z |
| publishDate | 2016-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8f671968553b4da0a9382d8c80360dd32022-12-22T02:57:33ZengMDPI AGSensors1424-82202016-10-011610170910.3390/s16101709s16101709Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-ModulesZhen Zhang0Cheng Ma1Rong Zhu2Department of Precision Instrument, Tsinghua University, Beijing 100084, ChinaDepartment of Precision Instrument, Tsinghua University, Beijing 100084, ChinaDepartment of Precision Instrument, Tsinghua University, Beijing 100084, ChinaHigh integration of multi-functional instruments raises a critical issue in temperature control that is challenging due to its spatial–temporal complexity. This paper presents a multi-input multi-output (MIMO) self-tuning temperature sensing and control system for efficiently modulating the temperature environment within a multi-module instrument. The smart system ensures that the internal temperature of the instrument converges to a target without the need of a system model, thus making the control robust. The system consists of a fully-connected proportional–integral–derivative (PID) neural network (FCPIDNN) and an on-line self-tuning module. The experimental results show that the presented system can effectively control the internal temperature under various mission scenarios, in particular, it is able to self-reconfigure upon actuator failure. The system provides a new scheme for a complex and time-variant MIMO control system which can be widely applied for the distributed measurement and control of the environment in instruments, integration electronics, and house constructions.http://www.mdpi.com/1424-8220/16/10/1709MIMOself-tuningtemperature controlinstrumenthigh reliability |
| spellingShingle | Zhen Zhang Cheng Ma Rong Zhu Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules Sensors MIMO self-tuning temperature control instrument high reliability |
| title | Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules |
| title_full | Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules |
| title_fullStr | Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules |
| title_full_unstemmed | Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules |
| title_short | Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules |
| title_sort | self tuning fully connected pid neural network system for distributed temperature sensing and control of instrument with multi modules |
| topic | MIMO self-tuning temperature control instrument high reliability |
| url | http://www.mdpi.com/1424-8220/16/10/1709 |
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