Application of LabVIEW and Genetic Algorithm for controlling of Plate Heat Exchanger


  • Zaidoon M. Shakoor
  • Aymen F. Zween



Modeling, Dynamic Behavior, Genetic Algorithm, PHE, Cohen-Coon, Ziegler-Nichols


The mathematical modeling of plate heat exchanger (PHE) was studied by effect several step change in entrance hot fluid stream and measuring the temperature of exit cold fluid. Based on the energy balance, a mathematical model for this heat exchanger (PHE) transmit factor (U) is linked with the warm fluid stream (mh). To confirm this model, the control on temperature was applied experimentally and theoretically to the plate heat exchanger using P, PI and PID controllers with some different tuning methods of control parameters; genetic alg - To assess the achievement of control, the time domain specifications such as rise time, overshoot (OS), settling time, measures of control system efficiency (integrates the square of the error over time (ISE) and integrates the absolutes error over time (IAE)) are used. The PID controller gave better control of temperature than other controllers, While Ziegler – Nichols method gave better control than Cohen-Coon. Genetic Algorithm (GA) technique is the best method in simulation compared with Cohen-Coon and Ziegler – Nichols methods because of the semi-perfect regulation of adjusted parameter values that give lower oscillatory pattern, minimal sum error, but it gives the slower response to reach the steady state.




How to Cite

Zaidoon M. Shakoor, & Aymen F. Zween. (2018). Application of LabVIEW and Genetic Algorithm for controlling of Plate Heat Exchanger. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE, 4(11), 125–135.