Research on Speed Control Strategies for Explosion-Proof Diesel Engine Monorail Cranes
This paper introduces a control method tailored for the speed regulation of monorail cranes in coal mines. Initially, an analysis of the structure and load conditions of the monorail crane drive components is conducted to calculate the traction force, clamping force, and target travel speed across v...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Actuators |
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| Online Access: | https://www.mdpi.com/2076-0825/13/12/467 |
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| _version_ | 1846106512100950016 |
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| author | Hai Jiang Dongjie Wang Jiameng Cheng Penghui Li Xiaodong Ji Yang Shen Miao Wu |
| author_facet | Hai Jiang Dongjie Wang Jiameng Cheng Penghui Li Xiaodong Ji Yang Shen Miao Wu |
| author_sort | Hai Jiang |
| collection | DOAJ |
| description | This paper introduces a control method tailored for the speed regulation of monorail cranes in coal mines. Initially, an analysis of the structure and load conditions of the monorail crane drive components is conducted to calculate the traction force, clamping force, and target travel speed across varying operational scenarios. Subsequently, the hydraulic system schematic of the monorail crane is analyzed to develop a mathematical model for speed control, enabling the assessment of system stability using transfer functions. A simulation model of the monorail crane speed control loop is then created in AMESim, where fuzzy adaptive PID controllers and MPC controllers are optimized in a collaborative simulation with Simulink. Experimental findings reveal that in a single acceleration condition, both controllers demonstrate superior dynamic response compared to a traditional PID controller, with the MPC controller exhibiting an overshoot of merely 8.9%. In speed variation conditions, the MPC controller achieved a settling time in the range of 0.26–0.3 s. Notably, the MPC controller displays a maximum overshoot of 11%, substantially enhancing the dynamic response performance of speed regulation in monorail cranes. |
| format | Article |
| id | doaj-art-bfb486b7f5044c4fa0153aab5b63b25c |
| institution | Kabale University |
| issn | 2076-0825 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Actuators |
| spelling | doaj-art-bfb486b7f5044c4fa0153aab5b63b25c2024-12-27T14:01:57ZengMDPI AGActuators2076-08252024-11-01131246710.3390/act13120467Research on Speed Control Strategies for Explosion-Proof Diesel Engine Monorail CranesHai Jiang0Dongjie Wang1Jiameng Cheng2Penghui Li3Xiaodong Ji4Yang Shen5Miao Wu6School of Mechanical Electronic and Information Engineering, China University of Mining & Technology, Beijing 100083, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining & Technology, Beijing 100083, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining & Technology, Beijing 100083, ChinaCCTEG Taiyuan Research Institute Co., Ltd., Taiyuan 030032, ChinaState Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaSchool of Vehicle and Transportation Engineering, Tsinghua University, Beijing 100084, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining & Technology, Beijing 100083, ChinaThis paper introduces a control method tailored for the speed regulation of monorail cranes in coal mines. Initially, an analysis of the structure and load conditions of the monorail crane drive components is conducted to calculate the traction force, clamping force, and target travel speed across varying operational scenarios. Subsequently, the hydraulic system schematic of the monorail crane is analyzed to develop a mathematical model for speed control, enabling the assessment of system stability using transfer functions. A simulation model of the monorail crane speed control loop is then created in AMESim, where fuzzy adaptive PID controllers and MPC controllers are optimized in a collaborative simulation with Simulink. Experimental findings reveal that in a single acceleration condition, both controllers demonstrate superior dynamic response compared to a traditional PID controller, with the MPC controller exhibiting an overshoot of merely 8.9%. In speed variation conditions, the MPC controller achieved a settling time in the range of 0.26–0.3 s. Notably, the MPC controller displays a maximum overshoot of 11%, substantially enhancing the dynamic response performance of speed regulation in monorail cranes.https://www.mdpi.com/2076-0825/13/12/467monorail cranehydraulic systemspeed control loopsimulation modelfuzzy adaptive controlMPC controller |
| spellingShingle | Hai Jiang Dongjie Wang Jiameng Cheng Penghui Li Xiaodong Ji Yang Shen Miao Wu Research on Speed Control Strategies for Explosion-Proof Diesel Engine Monorail Cranes Actuators monorail crane hydraulic system speed control loop simulation model fuzzy adaptive control MPC controller |
| title | Research on Speed Control Strategies for Explosion-Proof Diesel Engine Monorail Cranes |
| title_full | Research on Speed Control Strategies for Explosion-Proof Diesel Engine Monorail Cranes |
| title_fullStr | Research on Speed Control Strategies for Explosion-Proof Diesel Engine Monorail Cranes |
| title_full_unstemmed | Research on Speed Control Strategies for Explosion-Proof Diesel Engine Monorail Cranes |
| title_short | Research on Speed Control Strategies for Explosion-Proof Diesel Engine Monorail Cranes |
| title_sort | research on speed control strategies for explosion proof diesel engine monorail cranes |
| topic | monorail crane hydraulic system speed control loop simulation model fuzzy adaptive control MPC controller |
| url | https://www.mdpi.com/2076-0825/13/12/467 |
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