An approach of dynamic sliding mode control for chemical processes |
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| Affiliation: | 1. Departamento de Automatización y Control Industrial, Facultad de Ingeniería Eléctrica y Electrónica, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito 170517, Ecuador;2. School of Mathematical Science and Information Technology, University Yachay Tech, San Miguel de Urcuqui-Imbabura, Ecuador;3. Chemical Engineering Department, University of South Florida Tampa, FL 33620, United States;1. School of Automation, Central South University, Changsha, 410083, China;2. Department of Chemical Engineering, Chung Yuan Christian University, Chungli, Taoyuan, Taiwan, 32023, R.O.C.;3. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, Zhejiang, China;1. Electrical and Computer Engineering Program, Texas A&M University at Qatar, Qatar;2. Department of Mathematical Sciences, Prince Sultan University, Riyadh, Saudi Arabia;3. Chemical Engineering Program, Texas A&M University at Qatar, Qatar;1. Shanghai Key Laboratory of Power Station Automation Technology, Department of Automation, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China;2. College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;1. MISTEA, University of Montpellier, INRA, SupAgro, Montpellier, France;2. CNRS, IRD, MARBEC, University of Montpellier, IFREMER, France |
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| Abstract: | The purpose of this paper is to develop a Dynamic Sliding Mode Controller (DSMC) based on the Iinoya and Altpeter approach and the Sliding Mode Control (SMC) design procedure. The proposed approach is applied to chemical processes of high order with long dead time, and with inverse response. A simulation of a nonlinear mixing tank with variable delay, and an implementation on an Arduino Temperature Control Lab are used to test the controller. A comparison of the proposed approach (DSMC), and the SMC based on Internal Model Control (IMC) is presented to evaluate advantages and disadvantages of the proposal. The results show that the approach of the DSMC presented in this work reduces the chattering, compensates the effect of external disturbances, and of the parametric uncertainties. To measure the controller's performance, the Integral Square Error index (ISE) and Total Variation index (TV) are used. |
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