Investigations on Metaheuristic Algorithm for Designing Adaptive PID Controller for Continuous Stirred Tank Reactor
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G. Stephanopoulos, Chemical process control, Prentice hall, 2 (1984).
H. Goud and P. Swarnkar, Signal synthesis model reference adaptive controller with artificial intelligent technique for a control of continuous stirred tank reactor, Int. J. Chem. React. Eng., (2018), https://doi.org/10.1515/ijcre-2018-0145 .
B. W. Bequette, Process control: modeling, design, and simulation, Prentice Hall Professional (2003), pp. 1-617.
D. Copot, C. Ionescu, A. Hernandez and J. Thybaut, Development of a control strategy for efficient operation of a CSTR reactor, 19th international conference on system theory, control and computing (ICSTCC), Romania, (2015), pp. 717-721.
W. Zaiying and L. Ying, Study on the temperature dual control of CSTR with cooling and jacket cooling and application, Proceedings of the 10th world congress on intelligent control and automation, Beijing, China, (2012), pp. 3359-3362.
K.J. Astrom and T. Hagglund, PID controllers: theory, design, and tuning, Instrument society of America, Research Triangle Park, NC, (1995), pp. 1-343.
A. Singh and V. Sharma, Concentration control of CSTR through fractional order PID controller by using Soft Techniques, 4th ICCCNT, Tiruchengode, India, (2013), pp. 1-6.
R. Sen, C. Pati, S. Dutta and R. Sen, Comparison between three tuning methods of PID control for high precision positioning stage, MAPAN-J. Metrol.Soc. India, 30 (2015) 65-70.
H. Goud and P. Swarnkar, Analysis and simulation of the continuous stirred tank reactor system using genetic algorithm, theory and applications, ICHSA 2018, Gurgaon, Haryana (2018), pp. 1141-1151.
D.A. Tamboli and R.H. Chile, Comparative analysis of concentration control for nonlinear continuous stirred tank reactor, ICACCI-2016, Jaipur, India, (2016), pp. 1410-1415.
M.H. Kashan, N. Nahavandi and A.H. Kashan, DisABC: a new artificial bee colony algorithm for binary optimization, Appl. Soft. Comput., 12(1), (2012) 342-352.
D.E. Goldberg, Genetic algorithms, Pearson Education India, (2006).
W.D. Chang and S.P. Shih, PID controller design of nonlinear systems using an improved particle swarm optimization approach, Commun. Nonlinear. Sci., 15(11), (2010) 3632-3639.
D. Karaboga and B. Akay, A comparative study of artificial bee colony algorithm, Appl. Math. Comput., 214(1), (2009) 108-132.
Vincent, A.K. and R. Nersisson, Particle swarm optimization based PID controller tuning for level control of two tank system, IOP Conf Ser-Mat Sc. 263(5), (2017) 1-7.
H. Garg, Reliability, availability and maintainability analysis of industrial systems using PSO and fuzzy methodology, MAPAN-J. Metrol.Soc. India, 29 (2014) 115-129.
M.F. Tasgetiren, Q.K. Pan, P.N. Suganthan and A. Oner, A discrete artificial bee colony algorithm for the no-idle permutation flowshop scheduling problem with the total tardiness criterion, Appl. Math. Model., 37(10), (2013) 6758-6779.
O.A. Sahed, K. Kara and A. Benyoucef, Artificial bee colony-based predictive control for non-linear systems, T I MEAS Control., 37(6), (2015) 780-792.
G. Zhu, and S. Kwong, Gbest-guided artificial bee colony algorithm for numerical function optimization, Appl. Math. Comput., 217(7), (2010) 3166-3173.
G. Yan, and C. Li, An effective refinement artificial bee colony optimization algorithm based on chaotic search and application for pid control tuning, J. Comput. Inform. Sys., 7(9), (2011) 3309-3316.
A. Muthiah, and R. Rajkumar, A comparison of artificial bee colony algorithm and genetic algorithm to minimize the makespan for job shop scheduling, GCMM 2014, Vellore, India, (2014) pp. 1745-1754.
D. Karaboga, C.Ozturk, N. Karaboga and B. Gorkemli, Artificial bee colony programming for symbolic regression, Inform. Sciences., 209 (2012) 1-15.
B. Akay and D. Karaboga, A modified artificial bee colony algorithm for real-parameter optimization, Inform. Sciences., 192 (2012) 120-142.
B. Aytekin, and H. Senberber, ABC algorithm based PID controller design for higher order oscillatory systems, Elektron. Elektrotech. 23(6), (2017) 3-9.
D.Karaboga, and C. Ozturk, A novel clustering approach: artificial bee colony (ABC) algorithm, Appl. Soft. Comput., 11(1), (2011) 652-657.
S. Samanta and S. Chakraborty, Parametric optimization of some non-traditional machining processes using artificial bee colony algorithm, Eng. Appl. Artif. Intel., 24(6), (2011) 946-957.
