Adaptive Input-Output Linearization Control of pH Processes
- سال انتشار: 1387
- محل انتشار: Iranian Journal of Chemistry and Chemical Engineering، دوره: 27، شماره: 3
- کد COI اختصاصی: JR_IJCCE-27-3_003
- زبان مقاله: انگلیسی
- تعداد مشاهده: 56
نویسندگان
Department of Chemical Engineering, Isfahan University of Technology, Isfahan, I.R. IRAN
Department of Chemical and Petroleum Engineering, Sharif University of Technology, P.O. Box ۱۱۳۶۵-۹۴۶۵ Tehran, I.R. IRAN
Department of Chemical Engineering, Isfahan University of Technology, Isfahan, I.R. IRAN
چکیده
pH control is a challenging problem due to its highly nonlinear nature. In this paper the performances of two different adaptive global linearizing controllers (GLC) are compared. Least squares technique has been used for identifying the titration curve. The first controller is a standard GLC based on material balances of each species. For implementation of this controller a nonlinear state estimator is used. Some modifications are proposed to avoid the singularity of the observer gain. The second controller is designed based on the reduced state equation. Through computer simulations, it has been shown that the performances of the second GLC is superior and it is more robust to process model mismatch. It should be also noted that the design of reduced state-based GLC is much easier and dose not need observer for implementation.کلیدواژه ها
pH control, Exact linearization, Nonlinear state estimator, Least-squares identificationاطلاعات بیشتر در مورد COI
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