Parameter Estimation and Predictive Control Design for a Nonlinear Reactive Distillation Column
M.Manimaran1, S.Nagalakshmi2, V.S.Chitra3
1M.Manimaran*, Assistant Professor, Sethu institute of Technology, Kariapatti, Virudhunagar.
2S.Nagalakshmi, Professor, Department of Electrical and Electronics Engineering, Sethu institute of Technology, Kariapatti, Virudhunagar.
3V.S.Chitra, Assistant Professor, Department of Electrical and Electronics Engineering, Sethu institute of Technology, Kariapatti, Virudhunagar.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9675-9678 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9964118419/2019©BEIESP | DOI: 10.35940/ijrte.D9964.118419
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Abstract: Reactive distillation column is one of the key elements in the process of Petroleum and chemical industries, which is having nonlinear, multivariable and non-stationary characteristics. The conventional controller like PID provides fruitless control action for nonlinear process. This paper deals the design of the various Model predictive controller algorithms to control composition and Temperature of the Reactive distillation column in biodiesel production. Here the Recursive Least square technique is used to estimate the parameters and build the exact model of the Process. The MATLAB policy is used and accomplished of the GPC, SMPC and PID.
Keywords: RLS, GPC, PID, SMPC.
Scope of the Article: Exact and Parameterized Computation.