Most of the industries depends on the single loop system control to regulate the level process. In the process industries the design of multivariable systems are of great demand. The quadruple tank system is an example of the multivariable process which is dynamic and non-linear in nature. This system follows that the law of mass balance energy equations. In the four-tank system, the level of the tank maintenance is difficult due to the interactions between the process variables. In the existing method, there are many conventional controllers to maintain the water level of the quadruple tank system. But all the controllers cannot be suited for implementation and the accuracy in output during implementation is unreliable so in this paper the controllers such as Proportional Integral, Model Reference Adaptive Controller, Modified MRAC and Particle Swarm Optimization are designed and simulated. Controller performance is correlated with parameters such as peak time, rise time, and peak overshoot.
Volume 11 | 11-Special Issue