| Design of PID Controllers System with Multiple of Anti-aircraft Artillery Servo Performance Specifications |
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| 作者姓名： | 李银伢 盛安冬 王远钢 |
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| 作者单位： | School of Automatic Control Nanjing University of Science and Technology, Nanjing China210094 |
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| 基金项目： | Sponsored by National Nature Science Foundation of China （60174028） |
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| 摘 要： | A novel design method for determining the proportional-integral-derivative（PID） controller gains of an anti-aircraft artillery servo system with multiple performance specificauons based on a particle swarm optimization （PSO） algorithm is proposed. First, a performance criterion evolution function combined with the system maximum displacement settling time, rise time, overshoot, steady state error, constant velocity tracking error and sine wave tracking error is defined. Second, the optimization problem of PID controller parameters and the searching procedure of PSO algorithm are constructed. Finally, the optimal or near optimal PID controller parameters are fast and easily obtained by solving the above optimization problem on the given controller parameter space following the PSO searching procedure. The simulation results show the effectiveness of the proposed controllers.
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| 关 键 词： | 自动控制技术 伺服系统 PID控制 粒子群最优化 |
| 文章编号： | 1673-002X（2007）03-0185-06 |
| 修稿时间： | 2007-01-28 |
Design of PID Controllers System with Multiple of Anti-aircraft Artillery Servo Performance Specifications |
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| LI Yin-ya,SHENG An-dong,WANG Yuan-gang,.Design of PID Controllers System with Multiple of Anti-aircraft Artillery Servo Performance Specifications[J].Journal of China Ordnance,2007,3(3):185-190. |
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| Authors: | LI Yin-ya SHENG An-dong WANG Yuan-gang |
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| Affiliation: | School of Automatic Control, Nanjing University of Science and Technology, Nanjing 210094, China |
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| Abstract: | A novel design method for determining the proportional-integral-derivative(PID) controller gains of an anti-aircraft artillery servo system with multiple performance specifications based on a particle swarm optimization (PSO) algorithm is proposed. First, a performance criterion evolution function combined with the system maximum displacement settling time, rise time, overshoot, steady state error, constant velocity tracking error and sine wave tracking error is defined. Second, the optimization problem of PID controller parameters and the searching procedure of PSO algorithm are constructed. Finally, the optimal or near optimal PID controller parameters are fast and easily obtained by solving the above optimization problem on the given controller parameter space following the PSO searching procedure. The simulation results show the effectiveness of the proposed controllers. |
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| Keywords: | automatic control technique servo system PID control particle swarm optimization |
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