Design and simulation of a boost converter

Introduction to Boost converters

Boost  converters  are mainly used  to step up the input voltage to desired values, A boost converters operate on switching mode  for the purpose of dc to dc conversion in which output voltage is always greater than input voltage given.it is also known as step up converter this name originated from process of step up transformer  where input is stepped up to desire level, On the basis of law of conversion of energy the input power should be equal to output power considering there are no losses.

                            Input power (Pinput) = output power (Poutput)

As we know that the output voltage is greater than input voltage Vout>Vin,therefore  input current will  be more than output current.    Vin < Vout and Iin >Iout

Principle of operation of Boost converter

Working principal  of boost converter is based on inductor used  at input side of circuit is generally use to make barrier for sudden varying of input current ,it stores the energy  in form of magnetic energy when  the switch is in off condition and gets discharge when switch is closed. The capacitor used at the output side of the circuit considered as large enough that the time constant of RC circuit in the output stage is high. The large time constant compared to switching period represents that  a constant output 

                                         

voltage Vo(t) = Vo(constant)

 

design-and-simulation-of-a-boost-converter

The boost converter can be structured in two different ways- 

Open loop converter – Boost converter said to be a open loop converter when there is no feedback between input and output, therefore the open loop converter cannot be regulated.

Closed loop converter – Boost converter is said to be a close loop converter when there is feedback between input and output, therefore the close loop converter can be regulated.

                                                 

Control of close Boost Converter is utilized to acquire a steady DC output voltage. The output voltage is decided by the switching frequency and duty cycle. In close loop converter process the output  voltage is compared  a set voltage and the error is decreased by controlling the switching pulse .The fundamental activity is if the error value is certain the obligation cycle is diminished and if the error  is negative the D cycle is expanded by proceeding with the procedure ceaselessly the yield voltage is looked after steady.

Example:

2.1 Design and simulation of a boost converter 

 

A boost converter supplies a resistive 20? load at 240V from a 96V DC supply. The switching frequency is 100 kHz. A filtering inductor and smoothing capacitor are used to limit the peak-to-peak ripple in inductor current and output voltage, respectively.

Solution :- 

Mathematical solution

 

design-and-simulation-of-a-boost-converter

After solving above equation we get value of  D as:-

design-and-simulation-of-a-boost-converter

 

design-and-simulation-of-a-boost-converter

2.2(b)MATLAB simulation of the circuit is given below as :-

 

design-and-simulation-of-a-boost-converter

Simulation Output:-

design-and-simulation-of-a-boost-converter

design-and-simulation-of-a-boost-converter

design-and-simulation-of-a-boost-converter

2.1(d)Open loop boost converter is simulated on the parameters given below:-

design-and-simulation-of-a-boost-converter

Vin

12 v

Vout( desired)

16v

L(Inductance)

1.5e-3

Capacitance

250e6

Switching frequency 

5000 hz

 

Value of D obtained from the given formula theoretical is given below:-

 

design-and-simulation-of-a-boost-converter

We got the output voltage nearer to the desired voltage of 16 volt

Now, simulating closed loop boost converter  with same parameters as provided previously :-

 

design-and-simulation-of-a-boost-converter

We got the output voltage nearer to the desired voltage of 16 volt as 16.61,we observed that there are certain limitations of this circuit. The output voltage in this circuit is not regulated it varies for different load resistances. This can be improved by adding a feedback circuitry which helps in regulating the output voltage.

see more_...

Matlabsolutions.com provides guaranteed satisfaction with a commitment to complete the work within time. Combined with our meticulous work ethics and extensive domain experience, We are the ideal partner for all your homework/assignment needs. We pledge to provide 24*7 support to dissolve all your academic doubts. We are composed of 300+ esteemed Matlab and other experts who have been empanelled after extensive research and quality check.

Matlabsolutions.com provides undivided attention to each Matlab assignment order with a methodical approach to solution. Our network span is not restricted to US, UK and Australia rather extends to countries like Singapore, Canada and UAE. Our Matlab assignment help services include Image Processing Assignments, Electrical Engineering Assignments, Matlab homework help, Matlab Research Paper help, Matlab Simulink help. Get your work done at the best price in industry.

Machine Learning in MATLAB

Train Classification Models in Classification Learner App

Train Regression Models in Regression Learner App

Distribution Plots

Explore the Random Number Generation UI

Design of Experiments

Machine Learning Models

Logistic regression

Logistic regression create generalized linear regression model - MATLAB fitglm 2

Support Vector Machines for Binary Classification

Support Vector Machines for Binary Classification 2

Support Vector Machines for Binary Classification 3

Support Vector Machines for Binary Classification 4

Support Vector Machines for Binary Classification 5

Assess Neural Network Classifier Performance

Naive Bayes Classification

ClassificationTree class

Discriminant Analysis Classification

Ensemble classifier

ClassificationTree class 2

Train Generalized Additive Model for Binary Classification

Train Generalized Additive Model for Binary Classification 2

Classification Using Nearest Neighbors

Classification Using Nearest Neighbors 2

Classification Using Nearest Neighbors 3

Classification Using Nearest Neighbors 4

Classification Using Nearest Neighbors 5

Linear Regression

Linear Regression 2

Linear Regression 3

Linear Regression 4

Nonlinear Regression

Nonlinear Regression 2

Visualizing Multivariate Data

Generalized Linear Models

Generalized Linear Models 2

RegressionTree class

RegressionTree class 2

Neural networks

Gaussian Process Regression Models

Gaussian Process Regression Models 2

Understanding Support Vector Machine Regression

Understanding Support Vector Machine Regression 2

RegressionEnsemble