Modeling a Multivariable Process Control System using PID Optimization

Many process control model have been observed to have unsatisfactory output variables, such as pressure, composition, temperature, at specified values, giving rise to overshoot and unbounded responses. A lot of methods have been adopted to curb this undesirable effect, starting from the use of different configurations of controllers. This paper presents the model of a multivariable process control using labview proportional, integral and derivation controllers (PID). Modeling and control of multivariable process using optimization can be effectively achieved by optimization of proportional, integral, derivative volume of liquid L coupled with using appropriate transfer functions and accurate labview controllers for the modeling to achieve the controlling of the volume of cold and hot water to be in the proportion of 3:1. Aguodoh Patrick C. | Chiagunye Tochukwu T."Modeling a Multivariable Process Control System using PID Optimization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7016.pdf http://www.ijtsrd.com/engineering/computer-engineering/7016/modeling-a-multivariable-process-control--system-using-pid-optimization/aguodoh--patrick-c