References
[1]. Ali, A. & Majhi, S. (2006, December). Design of
optimum PID controller by bacterial foraging strategy. In
Industrial Technology, 2006. ICIT 2006. IEEE International
Conference on (pp. 601-605). IEEE.
[2]. Calistru, C. N. & Timofte, D. (2015, November).
Symbolic to genetic tuning of PID controllers. In E-Health
and Bio Engineering Conference (EHB), 2015 (pp. 1-4).
IEEE.
[3]. Fan, X., Cao, J., Yang, H., Dong, X., Liu, C., Gong, Z. et
al. (2013, December). Optimization of PID parameters
based on improved particle-swarm-optimization. In
Information Science and Cloud Computing Companion
(ISCC-C), 2013 International Conference on (pp. 393-397).
IEEE.
[4]. Gandhi, P. R. & Joshi, S. K. (2011, December). Design of
PID power system stabilizer using GA for SMIB system: Linear
and non-linear approach. In Recent Advancements in
Electrical, Electronics and Control Engineering
(ICONRAEeCE), 2011 International Conference on (pp.
319-323). IEEE.
[5]. Jalilvand, A., Vahedi, H., & Bayat, A. (2010, June).
Optimal tuning of the PID controller for a buck converter
using bacterial foraging algorithm. In Intelligent and
Advanced Systems (ICIAS), 2010 International Conference
on (pp. 1-5). IEEE.
[6]. Jebali, M., Kahouli, O., & Abdallah, H. H. (2016, May).
Power system stabilizer parameters optimization using
th genetic algorithm. In Systems and Control (ICSC), 2016 5
International Conference on (pp. 78-83). IEEE.
[7]. Kamdar, R., Kumar, M., & Agnihotri, G. (2014). Transient
stability analysis and enhancement of IEEE-9 bus system.
Electrical & Computer Engineering: An International Journal, 3(2), 41-51.
[8]. Korani, W. M., Dorrah, H. T., & Emara, H. M. (2009,
December). Bacterial foraging oriented by particle swarm
optimization strategy for PID tuning. In Computational
Intelligence in Robotics and Automation (CIRA), 2009 IEEE
International Symposium on (pp. 445-450). IEEE.
[9]. Lakshmi, K. V. & Srinivas, P. (2015). Optimal tuning of PID
controller using Particle Swarm Optimization. In 2015
International Conference on Electrical, Electronics,
Signals, Communication and Optimization (EESCO).
[10]. Mo, H. & Yin, Y. (2011, July). Research on PID tuning of
servo-system based on bacterial foraging algorithm. In
Natural Computation (ICNC), 2011 Seventh International
Conference on (Vol. 3, pp. 1758-1762). IEEE.
[11]. Naresh, G., Raju, M. R., Ravindra, K., & Narasimham,
S. V. L. (2011). Optimal design of multi-machine power
system stabilizer using genetic algorithm. Innovative Syst.
Des. Eng., 2(4), 54-70.
[12]. Precup, R. E., Borza, A. L., Radac, M. B., & Petriu, E. M.
(2014, May). Performance analysis of torque motor
systems with PID controllers tuned by bacterial foraging
optimization algorithms. In Computational Intelligence
and Virtual Environments for Measurement Systems and
Applications (CIVEMSA), 2014 IEEE International
Conference on (pp. 141-146). IEEE.
[13]. Singh, M., Patel, R. N., & Jhapte, R. (2016, January).
Performance comparison of optimized controller tuning
techniques for voltage stability. In Control, Measurement
and Instrumentation (CMI), 2016 IEEE First International
Conference on (pp. 11-15). IEEE.
[14]. Suman, S. K. & Giri, V. K. (2016, March). Speed control
of DC motor using optimization techniques based PID
Controller. In Engineering and Technology (ICETECH), 2016
IEEE International Conference on (pp. 581-587). IEEE.
[15]. Vishal, V., Kumar, V., Rana, K. P. S., & Mishra, P. (2014,
February). Comparative study of some optimization
techniques applied to DC motor control. In Advance
Computing Conference (IACC), 2014 IEEE International
(pp. 1342-1347). IEEE.
