Lyapunov-based Model Predictive Control of Nonlinear quadruple tank System Using Constrained and Unconstrained methods
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_RTEI-2-1_003
تاریخ نمایه سازی: 30 مرداد 1403
Abstract:
Model predictive control is a widely utilized advanced control technique in industrial settings, valued for its capacity to effectively manage complex multi-input multi-output processes while optimizing process performance. Lyapunov-based model predictive control of Nonlinear Systems is a method that incorporates the objective function as a suitable Lyapunov function, thereby ensuring stability of the nonlinear system. This study involves the modeling of a nonlinear system to the Lyapunov function and the analysis of a quadruple tank using nonlinear model predictive control and barrier function-based model predictive control algorithms. Additionally, a comparison is made between a PID controller and a well-established industrial controller to evaluate the performance of the nonlinear quadruple tank, with the findings indicating satisfactory results.
Keywords:
Nonlinear systems , Model predictive control , Nonlinear model predictive control , Barrier function-based model predictive control , Quadruple tank
Authors
Hossein Yektamoghaddam
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
Seyed Hamed Jalalzad Mahvizani
Department of Engineering, Sardar Jangal University, Rasht, Iran
Amirhossein Nikoofard
Faculty of Electrical Engineering, K.N. Toosi University of Technology, Seyed-Khandan bridge, Shariati Ave., Tehran, Iran
Mohammad Reza Salehizadeh
Islamic Azad University- Marvdasht Branch, ۳th kilometer of Takhte Jamshid Blvd, P. O. Box: ۷۳۷۱۱-۱۳۱۱۹, Marvdasht, Iran