ARX-Model based Model Predictive Control of a pH Process using LabVIEW
V. Balaji1, L. Rajaji2
1Prof. V.Balaji, Research Scholar, Dept. of Electrical Engineering, Singhania University, Pacheri Bari, Rajasthan, India.
2Dr. L. Rajaji, Principal, ARM College of Engineering and Technology, Marai Malai Nagar, Chennai, India.
Manuscript received on 30 January 2015 | Revised Manuscript received on 12 February 2015 | Manuscript Published on 28 February 2015 | PP: 13-16 | Volume-4 Issue-9, February 2015 | Retrieval Number: I1970024915/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: ARX models, is a suitable model for linear control implementations. The parameter estimation problem is convex and easily handed for both SISO and MIMO system. This paper deals with a novel formulation of ARX Model –Predictive control for the pH Process in a Continuous Stirrer Tank Reactor(CSTR).An illustrative simulation is conducted to compare the proposed model based controller with the conventional Proportional – Integral –Derivative(PID) controller for the pH purification process. The simulation results confirm that MPC is one of the best possibilities for successful control for pH process.
Keywords: pH Purification, Model Predictive Control, PID controller, CSTR, LabVIEW
Scope of the Article: Predictive Analysis