Adaptive Sliding Mode Control for a pH Neutralization Reactor: An approach based on Takagi-Sugeno Fuzzy Multimodel

Estrada, Juan Sebastian; Camacho, Oscar

doi:10.1109/etcm53643.2021.9590774

Cited by 5 publications

(5 citation statements)

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“…Four approaches are tested to control the process, a conventional PID controller, an SMC controller proposed in ref ( 67 ) an SMC-TS, 30 and LSMC. The P.I.…”

Section: Resultsmentioning

confidence: 99%

“…This is because the FOPDT model captures the dynamic response of the process from which the control system is designed . Furthermore, as proposed in ref a Smith predictor (SP) is ideal for compensating for the time delay. In addition, the SP simplifies the controller’s design since it would be enough with a primary control that can be adjusted using delay-free techniques .…”

Section: Controller Designmentioning

confidence: 99%

“…Since the pH process is highly nonlinear, the idea of the multimodel approach offers a way to build multimodels of the process based on the input–output data or the original mathematical model of the system facing the complexity and nonlinear factors of this system. Therefore, the fuzzy model proposed by Takagi and Sugeno (T-S) expressing the local dynamics of each fuzzy rule by a linear system model can be combined with the robustness of SMC in such a way that the stability of the system can be achieved by a fuzzy combination of the linear system models …”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the fuzzy model proposed by Takagi and Sugeno (T-S) expressing the local dynamics of each fuzzy rule by a linear system model can be combined with the robustness of SMC in such a way that the stability of the system can be achieved by a fuzzy combination of the linear system models. 30 The multimodel control problem has been widely studied in chemical process control. Various studies 31−44 describe control techniques known as multimodel or multilinear control strategies.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hybrid Approaches-Based Sliding-Mode Control for pH Process Control

et al. 2022

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This 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.

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“…Four approaches are tested to control the process, a conventional PID controller, an SMC controller proposed in ref ( 67 ) an SMC-TS, 30 and LSMC. The P.I.…”

Section: Resultsmentioning

confidence: 99%

Section: Controller Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations