| 摘要: |
|
| 关键词: |
| DOI： |
|
| 基金项目: |
|
| Design of PID controller with incomplete derivation based on ant system algorithm |
| Guanzheng Tan, Qingdong Zeng,Wenbin Li |
| (School of Information Science and Engineering, Central South University, 410083 Changsha Hunan, China) |
| 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. |
| Key words: PID controller Incomplete derivation Parameter tuning Ant system algorithm Genetic algorithm Simulated annealing |
