Indirect Adaptive Backstepping Control of a pH Neutralization Process Based on Recursive Prediction Error Method for Combined State and Parameter Estimation

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• 作者：Tae Chul Lee ; Dae Ryook Yang ; Kwang Soon Lee ; and Tae-Woong Yoon
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2001
• 出版时间：September 19, 2001
• 年：2001
• 卷：40
• 期：19
• 页码：4102 - 4110
• 全文大小：133K
• 年卷期：v.40,no.19(September 19, 2001)
• ISSN：1520-5045

文摘

A novel nonlinear adaptive technique has been proposed for control of a pH neutralization process.For this, a standard nonlinear dynamic pH neutralization model was parametrized assumingthat some key parameters of the buffer and feed streams, which sensitively affect the titrationcurve, are unknown. On this model, an indirect adaptive backstepping controller is designed bycombining a backstepping controller and the recursive prediction error method for real-timeparameter and state estimation. Through simulation studies, it has been shown that theestimated parameters and state variables are in good agreement with the actual values andthat the proposed adaptive controller has excellent tracking and regulation performance.