ACS omega

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2470-13437492022Dec13ACS omegaACS OmegaHybrid Approaches-Based Sliding-Mode Control for pH Process Control.453014531345301-4531310.1021/acsomega.2c05756This paper presents two hybrid control topologies; the topologies are designed by combining artificial intelligence approaches and sliding-mode control methodology. The first topology mixes the learning algorithm for multivariable data analysis (LAMDA) approach with sliding-mode control. The second offers a Takagi-Sugeno multimodel approach, internal model, and sliding-mode control. The process under study is a nonlinear pH neutralization process with high nonlinearities and time-varying parameters. The pH process is simulated for multiple reference changes, disturbance rejection, and noise in the transmitter. Performance indices are used to compare the proposed approaches quantitatively. The hybrid control topologies enhance the performance and robustness of the pH process under study.© 2022 The Authors. Published by American Chemical Society.MoralesLuisLDepartamento de Automatización y Control Industrial, Escuela Politénica Nacional, Quito170517, Ecuador.EstradaJuan SebastianJSDepartment of Electronics Engineering, Universidad Técnica Federico Santa María, Valparaıso2340000, Chile.HerreraMarcoMDepartamento de Automatización y Control Industrial, Escuela Politénica Nacional, Quito170517, Ecuador.RosalesAndresADepartamento de Automatización y Control Industrial, Escuela Politénica Nacional, Quito170517, Ecuador.LeicaPauloPDepartamento de Automatización y Control Industrial, Escuela Politénica Nacional, Quito170517, Ecuador.GamboaSilvanaSDepartamento de Automatización y Control Industrial, Escuela Politénica Nacional, Quito170517, Ecuador.CamachoOscarO0000-0001-8827-5938Colegio de Ciencias e Ingenierías "El Politécnico", Universidad San Francisco de Quito USFQ, Quito170157, Ecuador.engJournal Article20221201

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