Abstract
This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation.
Highlights
A basic problem in process industries is control of liquid level and flow in process tank
The Model Predictive Control (MPC) with integral action algorithm has been successfully implemented on the real-time system of Single Input Single Output (SISO) Conical Tank Level system and the output could track the reference signal
The predictive control algorithm along with integral action is considered for the design and experimental validation
Summary
A basic problem in process industries is control of liquid level and flow in process tank. There are several methods within MPC algorithms that differ from each other based on the process model used [6]. These algorithms have some problems with offset i.e. the process output is not equal to the specified reference at steady state [7]. This offset problem can be solved by introducing the integral action [8]. The MPC with integral action algorithm is designed and implemented for conical tank system. The effectiveness of MPC with integral action has been validated by implementing it in real-time
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