انجام پروژه متلب | متلبی

Abstract—To achieve the best optimized performance in terms
of stability and dynamic behavior of power electronics converters, it is necessary to use a more advanced control technique
and accurate mathematical model. This paper propose a fixed
frequency hysteretic current (FFHC) controller that uses both
sliding mode control (SMC) technique and fixed frequency
current controller with a hysteresis band to achieve all properties
of the variable structure controller. However, realizing such fixed
frequency sliding mode controller using small-signal averaged
(SSA) model of the power converters and Utkin’s equivalent
control technique may not be valid for all conditions. We show
that it can be applicable only when the fast scale dynamics of the
converter system is stable, which can be achieved successfully by
analyzing the stability of the FFHC controlled buck converter
using Filippov method and Floquet theory. The regions of
stability are then presented to show the domains of existence
of nominal period-1 and higher periodic orbits in 2-dimensional
(2-D) parameter space. We also demonstrate how to derive the
equivalent control law from modified tristate converter topology
to design the controller. Finally, the experimental results are
presented to validate the effectiveness of this hybrid FFHC
controller.
Index Terms—DC-DC buck converter, fixed frequency hysteretic current (FFHC) control , sliding motion (SM), sliding
mode control (SMC), multi-scale oscillation, discontinuous systems

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انجام پروژه متلب

کد مقاله g74

عنوان اصلی مقاله :

Control of a Multiple Source Microgrid With Built-in Islanding Detection and Current Limiting

سال ارائه:  2012       نوع مقاله:IEEE        گزارش فارسی: دارد 
کلید واژه:Autonomous, control, inverter, islanding, microgrid, voltage-sourced converter (VSC), پروژه متلب , شبیه سازی با متلب ,

Abstract—An approach for the control of a voltage-sourced
converter-interfaced distributed energy resource microgrid
environment with multiple energy sources is analyzed and exper
imentally validated. The control approach is designed to operate
in grid-connected and islanded modes of operation, as well as
provide a smooth transition between the two modes. Additional
features including islanding detection with positive feedback and
dynamic overcurrent limiting are also evaluated. Validation is
achieved through the results obtained from a scaled down proto
type system with further results from the time-domain simulation
of a medium-voltage microgrid.
Index Terms—Autonomous, control, inverter, islanding, micro
grid, voltage-sourced converter (VSC).

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کد مقاله g76

عنوان اصلی مقاله :

Hybrid fuel cell based Distributed Generation system for the Mitigation of voltage sag

سال ارائه:  2013       نوع مقاله:ژورنال        گزارش فارسی: دارد 

کلید واژه:Control, energy storage, fuel cell (FC), hybrid وsystem, smart grid, voltage sag, پروژه متلب , شبیه سازی با متلب ,

.
Abstract -This paper concentrates on Hybrid Fuel cell based
Distributed Generation system for the mitigation of the balanced
and unbalanced voltage sags in the power systems. The proposed
system works properly whenever voltage sag occurs in the power
system. Current control strategy is developed on the basis of fuzzy
controller and the Active power management in the system is based
on Neural network controller. This controller decides the super
capacitor power that should be generated according to the power
available in the DC link. This hybrid system is studied under
various balanced and unbalanced voltage sag conditions.
Simulation results are given to show the overall performance of the
Distributed Generation system.
Key words - Control, energy storage, fuel cell (FC), hybrid
system, smart grid, voltage sag.

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 کد مقاله g104
عنوان مقاله:
Neural network based robust hybrid control for robotic system an H∞ approach
سال ارائه:  2011       نوع مقاله: ژورنال        گزارش فارسی: دارد
قضیه لیاپانف
Robotic system, Computed torque, control, Neural network, Variable structure control, H∞ control, Lyapunov stability, پروژه متلب , شبیه سازی با متلب ,

AbstractA novel robust hybrid tracking control
for robotic system is proposed. This hybrid control
scheme combines computed torque control (CTC)
with neural network, variable structure control (VSC)
and nonlinearH∞control methods. It is assumed that
the nominal system of robotic system is completely
known, which is controlled by using CTC method.
Neural network is designed to approximate parameter
uncertainties, VSC is used to eliminate the effect of
approximation error, andH∞control is employed to
achieve a desired robust tracking performance. Based
on Lyapunov stability theorem, it can be guaranteed
that all signals in closed loop are bounded and a speci
fiedH∞tracking performance is achieved by employ
ing the proposed robust hybrid control. The validity of
the control scheme is shown by computer simulation
of a two-link robotic manipulator.
KeywordsRobotic system·Computed torque
control·Neural network·Variable structure control·
H∞control·Lyapunov stability

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Abstract- This paper presents a novel maximum-power-point­
tracking (MPPT) algorithm in wind-turbine generation
systems using neural network compensator based on the slope
of the wind-turbine mechanical power versus rotation speed
to avoid the oscillation problem and effect of uncertain
parameters. Because the characteristics of the wind-turbine
rotation speed is determined by the wind speed and air
density conditions, the technologies of changing the location
of the maximum power point must be developed in the
applications of MPPT control in order to make the wind­
turbine generator get the optimal efficiency from wind
energy at different operating conditions. In this study, the
uncertainties in wind-turbine generation systems are
compensated by a neural network, the duty cycle of dc/dc
converter is determined by a PI controller, and the
parameters is determined by a genetic algorithm with the
help of MATLAB. From the simulation results, the validity of
the proposed MPPT controller can be verified under
variations of wind speed, air density, and the load electrical
characteristics in wind-turbine generator systems.

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