Parameters Optimization of PID Controller for an Artillery Coordinator Based on Multi-Objective Genetic Algorithm
The Artillery coordinator is vital important to the accuracy of artillery firing. However, state-of-the-art optimization methods to the control parameters of artillery coordinator, always utilize single subject modeling and analysis, which result in the coupling effects between different disciplines...
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| Veröffentlicht in: | International Conference on Industrial Mechatronics and Automation (Online) S. 1332 - 1337 |
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| Format: | Tagungsbericht |
| Sprache: | Englisch |
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IEEE
13.10.2020
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| ISSN: | 2152-744X |
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| Abstract | The Artillery coordinator is vital important to the accuracy of artillery firing. However, state-of-the-art optimization methods to the control parameters of artillery coordinator, always utilize single subject modeling and analysis, which result in the coupling effects between different disciplines are not considered, In this paper, we propose a multi-objective optimization analysis method to decrease the mechanical vibration of the artillery coordinator and improve its control performance. Specifically, we take the mechanical structure, control parameters and hydraulic characteristics of the artillery coordinator into consideration and formulate the mathematical multidisciplinary model of the artillery. For this model, we target on the PID controller's variables optimization, and adopt the genetic algorithm to realize the multi-objective optimization analysis. Finally, three examples are adopted to verify the effectiveness of the optimization results. Simulation results show that the proposed multi-objective model is efficient and feasible. |
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| AbstractList | The Artillery coordinator is vital important to the accuracy of artillery firing. However, state-of-the-art optimization methods to the control parameters of artillery coordinator, always utilize single subject modeling and analysis, which result in the coupling effects between different disciplines are not considered, In this paper, we propose a multi-objective optimization analysis method to decrease the mechanical vibration of the artillery coordinator and improve its control performance. Specifically, we take the mechanical structure, control parameters and hydraulic characteristics of the artillery coordinator into consideration and formulate the mathematical multidisciplinary model of the artillery. For this model, we target on the PID controller's variables optimization, and adopt the genetic algorithm to realize the multi-objective optimization analysis. Finally, three examples are adopted to verify the effectiveness of the optimization results. Simulation results show that the proposed multi-objective model is efficient and feasible. |
| Author | Chen, Junhua Miao, Wei Chen, Guangsong Chen, Longmiao |
| Author_xml | – sequence: 1 givenname: Junhua surname: Chen fullname: Chen, Junhua email: swat_cjh@163.com organization: Nanjing University of Science and Technology,Nanjing,Jiangsu Province,China – sequence: 2 givenname: Longmiao surname: Chen fullname: Chen, Longmiao organization: Nanjing University of Science and Technology,Nanjing,Jiangsu Province,China – sequence: 3 givenname: Wei surname: Miao fullname: Miao, Wei organization: Nanjing University of Science and Technology,Nanjing,Jiangsu Province,China – sequence: 4 givenname: Guangsong surname: Chen fullname: Chen, Guangsong organization: Nanjing University of Science and Technology,Nanjing,Jiangsu Province,China |
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| Snippet | The Artillery coordinator is vital important to the accuracy of artillery firing. However, state-of-the-art optimization methods to the control parameters of... |
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| SubjectTerms | Analytical models Coordinator Couplings Evolutionary computation Hydraulic control Hydraulic systems Multi-objective evolutionary algorithm Multidisciplinary optimization PI control Simulation Vibrations |
| Title | Parameters Optimization of PID Controller for an Artillery Coordinator Based on Multi-Objective Genetic Algorithm |
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