Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/36131
Title: Design and Implementation of Model Predictive Control Approaches
Authors: SU YANG
Keywords: Model Predictive Control, Dead Time Compensation, Minimum Time Control, Robust MPC, Economic Optimization, Computation Delay Compensation
Issue Date: 14-Aug-2012
Source: SU YANG (2012-08-14). Design and Implementation of Model Predictive Control Approaches. ScholarBank@NUS Repository.
Abstract: Model Predictive Control (MPC) refers to an ample range of control algorithms which make explicit use of a model of the process for prediction and obtain the control signals by minimizing an objective function. Dynamic model, performance function and the implementation are three constituting elements of MPC. This thesis presents MPC algorithms for 3 specific dynamic models, linear monovariable system with dead time, linear periodic system and linear parameter varying system, 1 specific performance function, the economic performance, and 1 specific implementation scheme, computation delay compensation for robust MPC. In particular, set-point weighting is proposed to compensate the dead time for linear monovariable system; robust minimum time control is adopted to robustly stabilize linear periodic systems with bounded external disturbances; an output feedback MPC, based on tube MPC and min-max MPC, is proposed for linear parameter varying systems; 2 economic MPC variants are proposed with stability guarantee; lastly, the feature of computation delay compensation is incorporated into 4 common robust MPC algorithms for linear/nonlinear systems, providing a practical implementation scheme. Since the synthesis MPC approach is adopted in this thesis, the closed loop stability and constraint satisfaction are guaranteed rigorously.
URI: http://scholarbank.nus.edu.sg/handle/10635/36131
Appears in Collections:Ph.D Theses (Open)

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