Optimal PID Tuning for DC Motor Speed Controller Based on Genetic Algorithm
The tuning aspect of proportional_ integral _ derivative (PID) controllers is a challenge for research and plant operators because more than half of industrial controllers in use today are PID. This paper presents a soft computing technique which is flexible and fast tuning technique based on genetic algorithm (GA) to determine the optimal parameters of PID controllers for a DC motor as a benchmark for performance evaluation. GA with its statistical properties provides an excellent technique.A comparison between the proposed algorithm and the Active Set Optimization Algorithm (ASOA) is given.Simulationresults show that a wide range of requirements are satisfied with the GA.
Copyright © 2015 Praise Worthy Prize - All rights reserved.
Bindu R, Mini K. Namboothiripad “Tuning of PID Controller for DC Servo Motor using Genetic Algorithm,” International Journal of Emerging Technology and Advanced Engineering (IJETAE), Vol.2 (Issue 3): 310- 314, March 2012.
Chia-JuWu “Genetic Tuning of PID Controllers Using a Neural Network Model: A Seesaw Example,” Journal of Intelligent and Robotic Systems, Vol. 25: 43 - 59, May 1999.
Maude-JoséeBlondin, Pierre Sicard “ PID controllers and anti-windup systems tuning using ant colony optimization,” Journal of Power Electronics and Applications (EPE),IEEE 2013 15th European Conference onLille , pp.1-10, 2-6 Sept. 2013.
A. Jalilvand, A. Kimiyaghalam, A. Ashouriand H. Kord “Optimal tuning of PID controller parameters on a DC motor based on advanced particle swarm optimization algorithm“, International Journal on Technical and Physical Problems of Engineering (IJTPE), Vol.3 (Issue 9) n.4 : 10 - 17 ,Dec 2011.
Ibrahim, H.E.A., Hakim Mahmoud, A.A., DC motor control using PID controller based on improved ant colony algorithm, (2014) International Review of Automatic Control (IREACO), 7 (1), pp. 1-6.
L. dos S. Coelho and D. L. de A. Bernert, “A modified ant colony optimization algorithm based on differential evolution for chaotic synchronization,” Expert Syst. Appl., ELSEVIER, vol. 37 (Issue 6):4198–4203, Jun. 2010.
M. Kamal, L. Mathew and S. Chatterji“ Speed Control of Brushless DC Motor Using Intelligent Controllers. ” IEEE Engineering and Systems (SCES), 2014 Students Conference, pp.1 - 5, 28-30May 2014,
Srinivas, M.; Patnaik, L.M., “Genetic Algorithms: A Survey ” IEEE Computer Society , vol.27, no.6, pp.17,26, June 1994
S.Srikanth.and G. Raghu Chandra, “Modeling and PID Control of the Brushless DC Motor with the help of Genetic Algorithm,” IEEE International Conference On Advances In Engineering, Science And Management (ICAESM -2012), pp.639,644, 30-31 March 2012.
Jalilvand, A., Aghmasheh, R., Khalkhali, E., Optimal design of PID power system stabilizer in multi-machine power system using PSO and genetic algorithm, (2011) International Review of Electrical Engineering (IREE), 6 (2), pp. 907-912.
MuhammetÜnal, AyçaAk, VedatTopuz, and HasanErdal, Optimization of PID Controllers Using Ant Colony and Genetic Algorithms.(Springer,January 2013).
M. Kamal, L. Mathew and S. Chatterji“ Speed Control of Brushless DC Motor Using Intelligent Controllers. ”IEEE Engineering and Systems (SCES), 2014 Students Conference, pp.1 - 5, 28-30May 2014,
N. P. Adhikari, M. Choubey, and R. Singh, “Dc Motor Control Using Ziegler Nichols and Genetic Algorithm Technique,” Int. J. Electr. Electron. Comput. Eng., Apr. 2012.
Arturo Y. Jaen-Cuellar, Rene de J. Romero-Troncoso, Luis Morales-Velazquez and Roque A. Osornio-Rios “PID-Controller Tuning Optimization with Genetic Algorithms in Servo Systems.”International Journal of Advanced Robotic Systems,Vol. 10: 324, 27 May 2013.doi: 10.5772/56697.
J. Xiao, L. Hou, H. Wang, and W. Zhang “Modeling of DC Motor and Its Controller Optimization Design. ” IEEE Advanced Mechatronic Systems (ICAMechS), 2013 International Conference,pp.163-167, 25-27 Sept.2013.
R.Milman, E. J. Davison “Fast Computation of the Quadratic Programming Subproblem in Model Predictive Control”, IEEE Proceedings of the 2003American Control Conference, vol.6, no., pp.4723,4729, Denver. Colorado June 4-6 2003.
- » —
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2018 Praise Worthy Prize