This paper presents a novel distributed active set method for model predictive control of linear systems. The combines primal strategy with decentralized conjugate gradient to solve convex quadratic programs. An advantage the proposed compared existing algorithms is feasibility iterates. Numerical results show that can compete alternating direction multipliers in terms communication requirement...

The maglev yaw system (MYS) of wind turbine adopts the maglev-driving technique instead traditional gear-driving technique, so it has advantages short downtime and low cost operation maintenance. However, is vulnerable to nonlinear time-varying disturbance caused by random change speed direction. This paper proposes a dual-loop suspension control strategy based on finite set model predictive (F...

For many academics, it has proven difficult to operate a wind energy conversion system (WECS) under changeable speed while also enhancing the quality of electricity delivered grid. In order increase effectiveness and performance DFIG-based Wind Energy Conversion System, this research suggests an updated model predictive control technique. This study intends regulate generator in two ways: first...

An effective finite control set model predictive (FCS-MPC) is introduced for single-phase three-level T-type rectifiers supplying resistive as well constant power loads (CPL). The main problem of CPL the negative resistance phenomenon that endangers rectifier's stability. Hence, proposed FCS-MPC method based on Lyapunov's stability theory such rectifier guaranteed under all operating points. Un...

Grid faults are found to be one of the major issues in renewable energy systems, particularly wind conversion systems (WECS) connected grid via back-to-back (BTB) converters. Under such faulty conditions, system requires an effective regulation active (P) and reactive (Q) power accomplish low voltage ride through (LVRT) operation accordance with codes. In this paper, improved finite-control-set...

Recently, Brushless Cascaded Doubly Fed Induction Generator (BCDFIG) has been considered as an attractive choice for grid-connected applications due to its high controllability and reliability. In this paper, a Finite Control Set Model Predictive Control (FCS-MPC) method with active and reactive power control capability in grid-connected mode is proposed for controlling the BCDFIG in a way that...

The main objective of this paper is to highlight the role of the set theoretic analysis in the model predictive control synthesis. In particular, the set theoretic analysis is invoked to: (i) indicate the fragility of the model predictive control synthesis with respect to variations of the terminal constraint set and the terminal cost function and (ii) discuss a simple, tube based, robust model...