Title :
Constrained predictive control of three-phase voltage source converters with explicit performance specifications
Author :
Yoo, Dae Keun ; Wang, Liuping
Author_Institution :
Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
Abstract :
Three-phase voltage source converter is one of the underpinning technologies in a renewable energy system such as wind energy generator and PV arrays. This component is nonlinear and time-varying by nature. However, with the classical synchronous frame transformation, the nonlinear model is linearized to obtain a continuous-time state-space model. Based on the linearized model, in this paper, a continuous-time model predictive control system (Laguerre function based) for a grid connected three-phase voltage source converter is designed and implemented on a laboratory scaled test-bed that was built by the authors. In the proposed design, a method known as closed-loop paradigm is applied to provide a simple tuning parameter to achieve a prescribed degree of stability and damping ratio. Constrained control of the converter is demonstrated using the computationally efficient Hildreth quadratic programming to limit the modulation of switching functions.
Keywords :
closed loop systems; continuous time systems; control system synthesis; nonlinear control systems; power convertors; predictive control; quadratic programming; stability; time-varying systems; Hildreth quadratic programming; Laguerre function; PV arrays; closed-loop paradigm; constrained predictive control; continuous-time state-space model; damping ratio; explicit performance specifications; grid connected three-phase voltage source converter; laboratory scaled test-bed; linearized model; nonlinear system; renewable energy system; stability; switching functions; synchronous frame transformation; time-varying system; tuning parameter; wind energy generator; Computers; Rectifiers; Switches; Vectors;
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2012.6389565