BibTeX:

@article{IJIRSTV1I2018,
     title={Controlling of Temperature Process using IMC-PID and PSO},
     author={NITHYARANI N, S.M.GIRIRAJKUMAR and K.MOHAMED HUSSAIN},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={2},
     pages={15--22},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I2018.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In plant process control industries, automatic controllers are introduced. Proportional-Integral- Derivative (PID) controllers are the workhorses of many industrial controller requests. The frequently used Ziegler Nichols, most popularly called as ZN, tuning method holds good for a system with small decay ratio and fails when decay ratio is large and tuning is also difficult. Internal Model Controllertuning rules enhance the control performance by determining one tuning parameter, the filter time constant. The need for improved performance of the process has led to the development of robust and optimal controllers. In this paper, the objective ofthe controller design is to maintain the temperature of water in the liquid tank in a desired value. System identification of this temperature process is done by empirical method, which is notorious to be nonlinear and approximated to be a (First Order Plus Dead Time) FOPDT model. The advanced control system, IMC-PID and Particle Swarm Optimization (PSO) is designed for this FOPDT process model. PSO algorithm is implemented and the performance is compared with the conventional PID and IMC algorithm in terms of performances indices. It is observed that PSO for the system provides optimum values of performance indices.

PID ZN-II, IMC, IMC-PID,PSO, System Identification