Objective function selection of GA-based PID control optimization for automatic gantry crane

Proceedings of the International Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development

Volumn , Issue , 2008, Pages 883-887

  Solihin, Mahmud Iwan ^a   Wahyudi, ^a   Kamal, M A S ^a   Legowo, Ari ^a  

^a INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOELECTRIC PHENOMENA; CRANES; DIESEL ENGINES; FUZZY CONTROL; FUZZY NEURAL NETWORKS; GANTRY CRANES; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; TECHNOLOGY; THREE TERM CONTROL SYSTEMS; TIME VARYING CONTROL SYSTEMS; TWO TERM CONTROL SYSTEMS;

ANTI-SWING CONTROL; COMMUNICATION ENGINEERING; DESIRED POSITION; FLEXIBLE CABLES; HUMAN DEVELOPMENTS; INPUT SIGNALS; INTELLIGENT METHODS; INTERNATIONAL CONFERENCES; OBJECTIVE FUNCTION; P-I-D CONTROL; PD CONTROLLERS; PD STRUCTURE; PID CONTROLLERS; PID GAINS; POSITIONING-CONTROL; SIMULATION RESULTS; UNDER-ACTUATED SYSTEMS;

PROPORTIONAL CONTROL SYSTEMS;

EID: 51849125125     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCE.2008.4580732     Document Type: Conference Paper

References (12)

1. Omar, H.M. (2003). Control of gantry and tower cranes, PhD Dissertation, Virginia Polytechnic Institute and State University. Blacksburg, Virginia.
2. Singhose, W.E., Porter, L.J. & Seering, W.P. (1997). Input shaped control of a planar gantry crane with hoisting, Proceedings of the American Control Conference. pp. 97-100.
3. Park, B.J., Hong, K.S. & Huh, C.D. (2000). Time-efficient input shaping control of container crane systems, Proceedings of IEEE International Conference on Control Application. pp. 80-85.
4. Gupta, S. and Bhowal, P. (2004). Simplified open loop anti-sway technique. Proceedings of the IEEE India Annual Conference (INDICON), pp.225-228.
5. Zhao, Z.Y., Tomizuka, M. and Isaka, S. (1993) Fuzzy Gain Scheduling of PID Controllers. IEEE Transactions on System, Man and Cybernetics. Vol 23, no 5,
6. th World Congress on Intelligent Control and Automation.
7. th Conference on Decision & Control, USA.
8. http://www.geatbx.com/ea_matlab.html
9. Pereira, D.S. and Pinto, J.O.P. (2005). Genetic Algorithm Based System Identification and PID Tuning for Optimum Adaptive Control. Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics. USA.
10. Liu, D., Jianqiang, Y. and Min, T. (2002). Proposal of GA-based two-stage fuzzy control of overhead crane. Proceedings of IEEE TENCON, IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering.
11. Gondogdu, O. (2005). Optimal-Tuning of PID Controller Gains Using Genetic Algorithms. International Journal of Engineering Sciences. 11 (1), pp. 131-135.
12. Dorf , R.C and Bishop, R.H. (2007). Modern Control Systems. 11ed. Prentice Hall.