Dynamic stability improvement for VSC-HVDC-based inter connected power system using modified sliding mode controller

Nayak, Niranjan; Parida, Tanmoy; Rout, Pravat Kumar; Majumder, Irani; Routray, Sangram K.

doi:10.1504/ijaac.2017.083303

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2020

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“…Model predictive control (MPC) is one of the most popular advanced control techniques. The MPC has been widely used in industrial applications mainly due to its ability to include constraints in the controller design (Lio et al, 2014;Larsson et al, 2011;Nayak et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Synthesise of MPC controller for uncertain systems subject to input and output constraints: application to anthropomorphic robot arm

Dakhli

Maherzi

Besbes

2020

IJAAC

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This paper proposes a synthesis of a dynamic controller under constraints. It is based on model predictive control (MPC) approach and resolution of a convex optimisation problem with linear matrix inequalities (LMI). The controller guarantees the closed-loop stability for polytopic time-varying uncertain systems. Conditions are provided for the controller design based on the parameter dependent Lyapunov functions (PDLF). A new demonstration is developed based on the relaxation technique, to include a slack variables G i . The new LMI's formulation offers an additional degree of freedom for the controller design. Input and output constraints are also taken into account during the design of the controller. This approach allows varying and adjusting the dynamic of system by taking into account input/output constraints.

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Section: Introductionmentioning

confidence: 99%