| 改进的多目标遗传算法及其在PID优化设计中的应用 |
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| 引用本文： | 刘楠楠,石玉,程卫平,秦福高. 改进的多目标遗传算法及其在PID优化设计中的应用[J]. 应用科学学报, 2010, 28(1): 83-89 |
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| 作者姓名： | 刘楠楠 石玉 程卫平 秦福高 |
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| 作者单位： | 1. 南京航空航天大学自动化学院，南京2100162. 中国直升机设计研究所飞行控制暨仿真研究室，江西景德镇3330013. 常州工学院计算机信息工程学院，江苏常州2130024. 河海大学计算机及信息工程学院，南京210098 |
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| 摘 要： | 该文提出一种多目标遗传算法，采用新的拥挤距离计算方法，改进非支配性的比较方法，并引入双重精英策略，提高了进化效率和解的质量，更有效地保持了解的多样性. 将该算法应用于PID优化设计，使系统可同时兼顾快速性、稳定性和鲁棒性，决策者可根据当前工作需求在所得的Pareto解集中选择最终的满意解. 仿真结果表明提出的设计方法有效.
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| 关 键 词： | 多目标优化 遗传算法 Pareto最优解 PID控制 |
| 收稿时间： | 2009-06-16 |
| 修稿时间： | 2009-10-10 |
Improved Multi-objective Genetic Algorithm with Application to PID Optimization Design |
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| LIU Nan-nan,SHI Yu,CHENG Wei-ping,QIN Fu-gao. Improved Multi-objective Genetic Algorithm with Application to PID Optimization Design[J]. Journal of Applied Sciences, 2010, 28(1): 83-89 |
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| Authors: | LIU Nan-nan SHI Yu CHENG Wei-ping QIN Fu-gao |
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| Affiliation: | 1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics,;Nanjing 210016, China;2. Design Institute of China Aviation, China Helicopter Research and Development Institute,;Jingdezhen 333001, Jiangxi Province, China;3. School of Computer and Information Engineering, Changzhou Institute of Technology, Changzhou 213002,;Jiangsu Province, China;4. College of Computer and Information Engineering, Hohai University, Nanjing 210098, China |
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| Abstract: | We propose a multi-objective optimization genetic algorithm,which uses a new method to calculate crowding distance and improves the comparative method of non-domination.Double elitism-mechanism is introduced to improve efficiency of evolution and solution quality,and more effectively increase diversity of the solution.The algorithm is applied to optimal design of PID.In this way,the system is capable of considering requirements for quickness,reliability and robustness.A satisfactory solution is selected in ... |
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| Keywords: | multi-objective optimization genetic algorithms Pareto optimal solution PID control |
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