| Design of PID controller with incomplete derivation based on ant system algorithm |
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| 作者姓名： | Guanzheng Tan Qingdong Zeng Wenbin Li |
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| 作者单位： | SchoolofInformationScienceandEngineering,CentralSouthUniversity,ChangshaHunan410083,China |
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| 基金项目： | This work was supported by the National Natural Science Foundation of China (No. 50275150)，the Foundation of Robotics Laboratory, Chinese Academy of Sciences( No. RL200002). |
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| 摘 要： | A new and intelligent design method for PID controller with incomplete derivation is proposed based on the ant system algorithm (ASA). For a given control system with this kind of PlD controller, a group of optimal PID controller parameters Kp^*, Ti^*, and Td^* can be obtained by taking the overshoot, settling time, and steady-state error of the system‘s unit step response as the penfomunce indexes and by use of our improved ant system algorithm. Kp^*, Ti^*, and Td^* can be used in real-time control. This kind of controller is called the ASA-PID controller with incomplete derivation. To verify the performance of the ASA-PID controller, three different typical transfer functions were tested, and three existing typical tunmg methods of PID controller parameters,including the Ziegler-Nichols method (ZN), the genetic algnrithrn (GA), and the simulated annealing (SA), were adopted for comparison. The simulation results showed that the ASA-PID controller can be used to control different objects and has better performance compared with the ZN-PID and GA-PID controllers, and comparable performance compared with the SA-PID controller.
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| 关 键 词： | PID控制器 不完全导出 蚂蚁系统算法 参数调整 遗传算法 模拟退火 |
Design of PID controller with incomplete derivation based on ant system algorithm |
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| Guanzheng Tan,Qingdong Zeng,Wenbin Li.Design of PID controller with incomplete derivation based on ant system algorithm[J].Journal of Control Theory and Applications,2004,2(3):246-252. |
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| Authors: | Guanzheng Tan Qingdong Zeng Wenbin Li |
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| Affiliation: | School of Information Science and Engineering, Central South University, Changsha Hunan 410083,China |
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| Abstract: | A new and intelligent design method for PID controller with incomplete derivation is proposed based on the ant system algorithm ( ASA) . For a given control system with this kind of PID controller, a group of optimal PID controller parameters K p * , T i * , and T d * can be obtained by taking the overshoot, settling time, and steady-state error of the system's unit step response as the performance indexes and by use of our improved ant system algorithm. K p * , T i * , and T d * can be used in real-time control. This kind of controller is called the ASA-PID controller with incomplete derivation. To verify the performance of the ASA-PID controller, three different typical transfer functions were tested, and three existing typical tuning methods of PID controller parameters, including the Ziegler-Nichols method (ZN),the genetic algorithm (GA),and the simulated annealing (SA), were adopted for comparison. The simulation results showed that the ASA-PID controller can be used to control different objects and has better performance compared with the ZN-PID and GA-PID controllers, and comparable performance compared with the SA-PID controller. |
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| Keywords: | PID controller Incomplete derivation Parameter tuning Ant system algorithm Genetic algorithm Simulated annealing |
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