Model predictive control (MPC) is an efficient and growing approach to power converter control. This paper proposes improved simplified model current (MPCC) technique for a four-level nested neutral point clamped (4L-NNPC) converter. Conventional MPCC exhibits better performances as compared the conventional linear system such fast dynamic response, consideration of constraints, nonlinearities....

This letter covers the model predictive control of linear discrete-time systems subject to stochastic additive disturbances and chance constraints on their state input. We propose a simplified parameterization under framework affine disturbance feedback, we show that our method is equivalent over family feedback policies. Using method, associated finite-horizon optimization can be computed effi...

This paper presents the stability and robustness analysis for multivariable fuzzy control systems subject to parameter uncertainties based on a single-grid-point (SGP) approach. To perform the analysis, we represent a multivariable nonlinear system using a TS-fuzzy plant model. Three design approaches of fuzzy controllers are introduced to close the feedback loop. By estimating the matrix measu...

A model predictive control (MPC) approach offers several advantages for controlling and coordinating urban traffic networks. To apply MPC in large urban traffic networks, a fast model that has a low on-line computational complexity is needed. In this paper, a simplified macroscopic urban traffic network model is proposed and tested. Compared with a previous model, the model reduces the computin...

A simple set of equations for bubbly flow through a vertical tube is rigorously derived by means of a scale analysis from the realistic equations posed by Pauchon. It is shown that under steady flow conditions the void fraction will relax from its value at the inlet towards an asymptotic value within only a short distance of the inlet. The relationship between the inlet void fraction and the im...

the present sought to draw a comparison between model predictive control performance and two other controllers named simple pi and selective pi in controlling large-scale natural gas transport networks. a nonlinear dynamic model of representative gas pipeline was derived from pipeline governing rules and simulated in simulink® environment of matlab®. control schemes were designed to provide a s...

At Drexel University, I was testing the 8-inch, 13 stages, R1408 PMTs which will be used for the inner vetos of the Double Chooz experiment [1]. These PMTs were used in the IMB [2] and SuperKamiokande [3] experiments. This testing allowed a better understanding of their working. In this paper I propose a model inspired from observations during the testing period. The first aim of this model is ...

Since torque ripple is the main cause of noise and vibrations, the performance of Switched Reluctance Motor (SRM) can be improved by minimizing its torque ripple using a novel control technique called Direct Torque Control (DTC). In DTC technique, torque is controlled directly through control of magnitude of the flux and change in speed of the stator flux vector. The flux and torque are maintai...