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Title: Formulation of Model-Based Optimal Control for Practical Applications
Keywords: model predictive control, offset free, PID gain optimization, MIMO, gain scheduling
Issue Date: 14-Aug-2013
Citation: NGUYEN HOANG TUAN MINH (2013-08-14). Formulation of Model-Based Optimal Control for Practical Applications. ScholarBank@NUS Repository.
Abstract: This thesis first presents a new framework of tracking model predictive control that resolves these issues. By exploiting the control philosophy of the propositional-integral-differential controller, offset-free features and robust designs for MPC can be integrated. A design of offset-free MPC is presented to accept robust feedback control as an integrated core. These techniques provide increased flexibility in the design of model predictive control for industrial applications. Further exploration on real-world problems is examined by applying the above framework. In the first example, the framework robustly compensates the friction uncertainties in precision control of an ultrasonic motor. The second example shows that the approach provides an elegant solution to temperature optimization in in-vitro fertilization process. The last example demonstrates that for chemical reaction process, control of blending ratio can also benefit from flexible problem analyzing and reformulating. Such applications promote model predictive control to a larger scale of applications.
Appears in Collections:Ph.D Theses (Open)

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