Optimal PID control of self-adapted ant colony algorithm based on genetic gene

Tien Tzu Hsueh Pao/Acta Electronica Sinica

Volumn 34, Issue 6, 2006, Pages 1109-1113

  Peng, Pei Fu ^a,b   Lin, Ya Ping ^b   Hu, Bin ^c   Zhang, Gui Fang ^d  

^a HUNAN NORMAL UNIVERSITY   (China)

^b HUNAN UNIVERSITY   (China)

^c CENTRAL SOUTH UNIVERSITY   (China)

^d Hunan International Economics University   (China)

Author keywords

Ant colony algorithm; Genetic gene; Information element; PID control

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; OPTIMIZATION; PARAMETER ESTIMATION;

ANT COLONY ALGORITHMS; GENETIC GENES; INFORMATION ELEMENTS; OPTIMAL PID CONTROL; PARAMETER OPTIMIZED DIAGRAMS; SIMULATIVE EVOLUTION ALGORITHMS;

THREE TERM CONTROL SYSTEMS;

EID: 33748150948     PISSN: 03722112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Ziegler J G. Nichols N B. Optimum setting for automatic controllers[J]. ASME Transactions, 1942(11): 759-768.
2. TAN Guarr-Zhrng Li Aroping. Fuzzy-GA PID controller with in complete derivation and its application to intelligent bionic artificial leg[J]. Journal of Central South University of Technology, 2003, 10(3): 237-243.
3. S Goss S Aron, J L Deneubourg, J M Pasteels. Self-organized shortcuts in the Argentine ant[J]. Naturwissenchafien, 1989, 76: 579-581.
4. A Colorni, M Dorigo, V Maniezzo. An investibation of some Properties of an ant algorithm[A]. Proceeding of the Parallel Problem Solving from Nature Conference[C]. Belgium: Elsevier Publishing Brussels, 1992. 509-520.
5. TAN Guan-zheng, LI Wen-bin. Design of ant algorithm-based optimal PID controller and its application to intelligent artificial leg[J]. J Cent South Univ. (Natural Science), 2004, 35(1), 91-96.(in Chinese)
6. PENG Pei-fu, LIN Ya-ping, ZHANG Gui-fang. The research on optimization of linearly direct current servo fixed system by genetic algorithm[J]. Jour Nat Scie Hunan Norm Univ, 2004, 27(4): 47-50.(in Chinese)
7. MA Cui-hong. Optimising the PID parameters by using the genetic algorithm[J]. Process Automation Instrumentation, 1998, 19(1), 10-12.(in Chinese)
8. DING Jian-li, CHEN Zeng-qiang, YUAN Zhu-zhi. On the combination of genetic algorithm and ant algorithm[J]. Journal of Computer Research and Development, 2003, 40(9): 1351-1356.(in Chinese)
9. WENG Ying, XIE Jian-ying. An adaptive ant colony optimization algorithm and simulation[J]. Journal of System Simulation, 2002, 14(1), 31-33.(in Chinese)