A hybrid formulation and design of model predictive control for systems under actuator saturation and backlash

H., Zabiri and Y., Samyudia (2006) A hybrid formulation and design of model predictive control for systems under actuator saturation and backlash. [Citation Index Journal]

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In this paper, we develop a hybrid design framework of model predictive controller (MPC) for multivariable systems that simultaneously and explicitly addresses the actuator saturation and backlash. The discrete characteristics of the actuator backlash allows us to mathematically express it as a set of mixed-integer linear inequalities constraint in the inputs. As a result, the constrained MPC design is formulated as solving a mixed-integer quadratic programming (MIQP) problem. Furthermore, the proposed MIQP-based design is applied only in the proximity of steady state operating points after locating the active backlash and providing the estimate of the backlash size. Simulation studies are presented to demonstrate how the hybrid MPC performs when applied to an industrial case study of fluid catalytic cracking unit. It is shown that in the presence of actuator saturation and backlash the closed-loop performance can be improved substantially when applying the hybrid method as compared to the traditional design approaches.

Item Type:Citation Index Journal
Impact Factor:2.235
Uncontrolled Keywords:Control loop; Control valve; Control valves; Controlled variables; Controller outputs; Curvature indices; Diagnostic tools; In-process; Industrial case study; Non-linear correlations; Non-Linearity; Nongaussianity; Nonlinear behavior; Nonlinear principal component analysis; Operating data; Plant operations; Regression coefficient; Straight lines; Nonlinear analysis; Process control; Safety valves; Stiction; Principal component analysis
Subjects:Q Science > Q Science (General)
T Technology > TP Chemical technology
Departments / MOR / COE:Departments > Chemical Engineering
ID Code:3726
Deposited By: Haslinda Zabiri
Deposited On:28 Dec 2010 06:50
Last Modified:19 Jan 2017 08:27

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