• W.V.Jahnavi
• Dr.J.N.Chandra Sekhar
• Dr.A.Sreenivasulu Reddy

proportional-integral-derivative (PID) controllers are widely employed in engineering practises because of their simple designs, resistance to model errors, and ease of operation. There are several PID controllers available nowadays. Intelligent regulators with features for automatically adjusting PID parameters have been developed by companies. PID control parameter tuning has been and continues to be an important study area. The basic goals of PID control settings are to create a steady-state response with low overshoot and a shorter settling time. The techniques reviewed are classified into classical techniques and computational techniques developed for PID tuning. Different Computational Techniques are reviewed in this study like genetic algorithm, Particle swam optimization, ANN, Fuzzy Logic, Machine learning and Deep neural Reinforcement used for PID controller tunning. A comparison between some of the techniques has also been provided. Besides, these kinds of algorithms are compared, and prospects of PID algorithms are forecast at the end of this paper.

PID Controllers; Tuning; Classical Techniques; Classical Techniques and Intelligent Computational Techniques

"A Review on PID Controller Tuning Using Modern Computational Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.h160-h168, August-2023, Available :http://www.jetir.org/papers/JETIR2308717.pdf

"A Review on PID Controller Tuning Using Modern Computational Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. pph160-h168, August-2023, Available at : http://www.jetir.org/papers/JETIR2308717.pdf