srinivas, P.; Rao, P. Durga Prasada; Lakshmi, K. Vijaya
July 2012
International Journal of Control Theory & Computer Modeling;Jul2012, Vol. 2 Issue 4, p1
Academic Journal
For efficient control of the process industries automatic controllers are introduced. Since multiple variables are being controlled and manipulated simultaneously, interactions among the variables are unavoidable, making the task of control using ordinary control systems a challenging one. To meet the desired performance of process plant, complex control systems have been implemented for lot of industrial models practically or theoretically. In this paper we modelled the complex control systems used in process industries such as feed forward control for maintaining a constant temperature in a heat exchanger, cascade control for maintaining constant air flow to protect the compressor from the heavy loads, ratio control for maintaining the optimal air-fuel ratio in the furnace and smith predictor to examine the dead time compensation. The models were implemented using LABVIEW and the simulation results showed that multiple process variables were controlled efficiently.


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