IJTEEE
International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
PREVIOUS PUBLICATIONS



IJTEEE >> Volume 3 - Issue 5, May 2015 Edition



International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Optimal Cruise Control Using Genetic Algorithm And Simulated Annealing Tuned PID Controller.

[Full Text]

 

AUTHOR(S)

Upasana, Dr. Anu Mehra

 

KEYWORDS

Keywords: PID Controller, Controller Optimization, Genetic Algorithm, Stimulated Annealing, Cruise Control.

 

ABSTRACT

ABSTRACT: This paper shows the execution correlation between the different delicate figuring methods utilized for advancement of the PID controllers, executed for velocity control system for the cruise control system. PID controllers are widely utilized as a part of mechanical control in view of their straight forwardness and heartiness, however when mechanical control is risked by outer glitches, prompts the shakiness of the system. PID controller streamlining utilizing delicate registering calculations lays accentuations on acquiring the best conceivable PID parameters for enhancing the solidness of the system. The PID controller has been actualized for pace control of a system and the outcomes got from improvement utilizing delicate registering are contrasted and the ones got from the Ziegler-Nichols strategy, and relatively better results are gotten in Genetic algorithm case.

 

REFERENCES

[1] Cruise Control: System Modeling. Control Tutorials for Matlab and Simulink

[2] Ziegler, J.G and Nichols, N. B. (1942). “Optimum settings for automatic controllers.” Transactions of the ASME. 64. pp. 759–768.

[3] Goodwin, G. C., Graebe, S. F. and Salgado, M.E. 2001. Control System Design, Prentice Hall Inc., New Jersey.

[4] Norman S. Nise, 2003 , Control System Engineering, 4th Edition,

[5] Katal, N., and Singh, S. K. Singh. (2012) Optimal Tuning of PID Controller for DC Motor using Bio-Inspired Algorithms. International Journal of Computer Applications 56(2):1-5. DOI: 10.5120/8860-2822

[6] Deb, Kalyanmoy. “Multi-Objective Optimization Using Evolutionary Algorithms.” John Wiley & Sons, 2001.

[7] Kickpatrik S., Gelatt C.D., Vecchi M.P. (1983), “Optimization by Stimulated Annealing”, Science (220) 4508, p-671-680,

[8] Granville, V.; Krivanek, M.; Rasson, J.-P. (1994). "Simulated annealing: A proof of convergence". IEEE Transactions on Pattern Analysis and Machine Intelligence 16

[9] Abdullah Konak, David W. Coit, Alice E. Smith ,“Multi- objective optimization using genetic algorithm”, Reliability Engineering and Safety System, 91 (2006) 992-1007, Elsevier Ltd.

[10] Berrsimas D., Tsitsiklis, “ Stimulated Annealing” (1993), Statistical Science, Vol. 8, No. 1, 10-15

[11] MATLAB and SIMULINK Documentation