Performance Evaluation of an Optimized PID Controller for Networked Control System Using ANT Colony Optimization

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@article{1702977,
      author = {Chukwuebuka O. Eke-Nnodu, Chidiebele Chinwendu Udeze, Chukwudi Chukwudozie, Mmasom Iruoma Ndefo, Henry Ikemefuna Ugwu},
      title = {Performance Evaluation of an Optimized PID Controller for Networked Control System Using ANT Colony Optimization},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {5},
      number = {5},
      pages = {183-191},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702977.pdf},
      abstract = {The potentials of controlling systems remotely led researchers to develop systems comprising of networks and control systems. Such systems have been known by various names, but it is lately referred to as Networked Control System (NCS). The inherent challenges with communication networks such as latency, packet drop/loss, congestion etc. creates major challenges for such system especially in the transmission of control signal from one component to another in real time applications. Proportional Integral Derivative (PID) controller is used to estimate factors which can cause delay during data transfer among system components. This work compensates this delay with the use of Ant Colony Optimization(ACO) technique to improve the parameters of the PID controller such that performance of the NCS will be improved. The work will evaluate the performance of the NCS after ACO technique has been used to tune the parameters of PID and compare it with the performance of NCS when fuzzy tuned PID controller and PID controller are used. The performance obtained by simulation shows that the performance of the ACO technique performed better than the fuzzy-tuned PID controller and PID controller.The simulation of the performance was done using Matlab/Simulink 2016b and True Time toolbox.},
      keywords = {Ant Colony Optimization (ACO), Networked Control System (NCS), Optimization, Proportional Integral Derivative (PID)},
      month = {November},
  }