Introduction to MATLAB, Simulink, and control system toolbox

August 4, 2013, 8:10 am

≫ Next: Classification of Memory

≪ Previous: Mobile Communication 600 words essay

$

0

0

Introduction to MATLAB, Simulink, and control system toolbox MATLAB: MATLAB (matrix laboratory) is a numerical computing environment and fourth-generation programming language. Developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, and Fortran. Simulink: […]

---

Classification of Memory

August 5, 2013, 8:35 am

≫ Next: Features of Intel 8085 microprocessor

≪ Previous: Introduction to MATLAB, Simulink, and control system toolbox

$

0

0

Classification of memory: Following figure shows the classification of Memory: ROM (Read Only Memory): The data in this memory can only be read, no writing is allowed. It is used to store permanent programs. It is nonvolatile type of memory. The ROM memories are available in four types these are: Masked ROM PROM EPROM EEPROM […]

Features of Intel 8085 microprocessor

August 6, 2013, 7:34 pm

≫ Next: Flame ionization detector

≪ Previous: Classification of Memory

$

0

0

Features of Intel 8085 microprocessor: The features of Intel 8085 microprocessor include: 1)      It is an 8 bit microprocessor. I.e. it can accept or provide 8 bit data simultaneously. 2)      It is a single chip, NMOS device implemented with 6200 transistors. 3)      It requires a single +5V power supply. 4)      It provides on chip clock […]

Flame ionization detector

August 9, 2013, 7:28 am

≫ Next: Thermal conductivity detectors

≪ Previous: Features of Intel 8085 microprocessor

$

0

0

Flame ionization detector (FID): The diagram shows the flame ionization detector used in gas chromatography. It consists of a burner in which the effluent in the burner is mixed with hydrogen and air. This mixture is then ignited electrically. Most of the organic compounds when paralyzed at the temperature of H2/air flame, they produce ions […]

Thermal conductivity detectors

August 9, 2013, 8:15 pm

≫ Next: Introduction to MATLAB

≪ Previous: Flame ionization detector

$

0

0

Thermal conductivity detectors (TCD): Diagram: The diagram shows the cross sectional view of one of the temperature sensitive elements in a thermal conductivity detector. This detector is based upon the changes in the thermal conductivity of the gas stream. It is also called as katharometer. The sensing element in this device is an electrically heated […]

Introduction to MATLAB

July 28, 2013, 8:09 am

≫ Next: Representation of basic discrete time signal using MATLAB

≪ Previous: Thermal conductivity detectors

$

0

0

Introduction to MATLAB: MATLAB is a high performance language and interactive environment for a numerical computation, visualization, and programming. Using MATLAB we can analyze data, develop algorithms, and create models and applications. It has built in math function which enables to reach the solutions faster than with traditional programming languages as C/ C++/ Java. MATLAB […]

Representation of basic discrete time signal using MATLAB

July 24, 2013, 6:38 am

≫ Next: Electron capture detector

≪ Previous: Introduction to MATLAB

$

0

0

Representation of basic discrete time signal using MATLAB: Hi friends, today we are going to discuss about discrete time signals and how to plot graphs of different discrete time signals such as step signal, ramp signal, impulse function, exponential, sine and cosine signals using MATLAB. Before going towards actual programming part, let us recall the […]

Electron capture detector

August 11, 2013, 7:19 am

≫ Next: Argon ionization detector

≪ Previous: Representation of basic discrete time signal using MATLAB

$

0

0

Electron capture detector: Diagram: The diagram shows electron capture detector used in chromatographic analysis of environmental samples. This detector operates similar to proportional counter used for X-ray measurement. In this detector, the effluent from the column is passed over a β emitter (Ni-63). An electron from β emitter causes ionization of carrier gas and production […]

---

Argon ionization detector

August 11, 2013, 8:19 pm

≫ Next: Gas chromatography

≪ Previous: Electron capture detector

$

0

0

Argon ionization detector: Diagram: For the argon ionization detector, argon gas is used as the carrier gas. The detector consists of two electrodes placed parallel to each other. A potential difference is applied across them. The effluent from the column is allowed to enter the detector. Now as the carrier gas is non conductive there […]

Gas chromatography

August 15, 2013, 3:11 am

≫ Next: Liquid chromatography

≪ Previous: Argon ionization detector

$

0

0

Basic Gas Chromatograph: The basic gas chromatograph consists of following parts 1)      Carrier gas supply with pressure regulator and flow monitor 2)      Sample injection system. 3)      Chromatographic column 4)      Thermal compartment 5)      Detection system 6)      Strip chart recorder Gas chromatograph diagram: In gas chromatograph, the carrier gas is stored in a cylinder at a controlled […]

Liquid chromatography

August 15, 2013, 3:21 am

≫ Next: Mason’s gain formula for determining overall gain of system (with example)

≪ Previous: Gas chromatography

$

0

0

Liquid chromatography: The liquid chromatography is classified as follows: 1)      Thin layer chromatography 2)      Paper chromatography 3)      Column chromatography : Column chromatography is again classified as : a)      liquid/ liquid (Partition) b)      Liquid/ solid (Adsorption) c)       Gel permeation d)      Ion exchange Introduction to various types of liquid chromatography: 1)      Thin layer chromatography: In thin layer […]

Mason’s gain formula for determining overall gain of system (with example)

August 15, 2013, 10:17 pm

≫ Next: Liquid Chromatograph (HPLC)

≪ Previous: Liquid chromatography

$

0

0

Mason’s gain formula for determining overall gain of system Introduction: In the last article we have seen block diagram algebra. For studying the complete behavior of the system we should know its transfer function. Using block diagram algebra we can reduce the block diagram of a control system into a single block representing the transfer […]

Liquid Chromatograph (HPLC)

August 20, 2013, 3:10 am

≫ Next: Single Phase Half Wave Rectifier With a Resistive Load

≪ Previous: Mason’s gain formula for determining overall gain of system (with example)

$

0

0

Liquid Chromatograph (HPLC): Diagram: The liquid chromatograph consists of following major components: 1)      A high pressure pumps system to force the liquid mobile phase through the column. 2)      Gradient elution or solvent programmer. 3)      The sample injection system. 4)      Column in thermo stated oven. 5)      Detector and recorder. In HPLC (High Pressure Liquid Chromatography) the […]

Single Phase Half Wave Rectifier With a Resistive Load

August 26, 2013, 7:39 am

≫ Next: Introduction to Z Transform with examples

≪ Previous: Liquid Chromatograph (HPLC)

$

0

0

Phase controlled half wave rectifier with resistive load: Let us consider a circuit as shown in figure below having a resistive load. Apply the AC voltage to its input. During the positive half cycle of the input voltage, the thyristor anode will become positive with respect to its cathode it is said to be in […]

Introduction to Z Transform with examples

August 28, 2013, 10:15 am

≫ Next: M-point moving average filter MATLAB Program

≪ Previous: Single Phase Half Wave Rectifier With a Resistive Load

$

0

0

Introduction to Z Transform: Z transform of a signal provides a valuable technique for analysis and design of the discrete time signal and discrete time LTI system. Z transform of a discrete time signal has both imaginary and real part. The plot of imaginary part versus real part is called as the z plane. The […]

---

M-point moving average filter MATLAB Program

October 3, 2013, 6:30 am

≫ Next: Single beam filter photometer

≪ Previous: Introduction to Z Transform with examples

$

0

0

MATLAB Program for M-point moving average filter Steps for writing M-point moving average filter program in MATLAB: 1)    Take a given signal 2n*(0.9)^n and denote it by s(n). 2)    Then generate a random noise signal having same length (50) as that of s(n) and denote it by d. 3)    Then add s+d and save it […]

Single beam filter photometer

October 9, 2013, 10:12 am

≫ Next: Double beam filter photometer

≪ Previous: M-point moving average filter MATLAB Program

$

0

0

Single beam filter photometer: Diagram: Theory: It consists of a source of light (tungsten filament lamp), lens to make the light beam parallel, filter of wavelength selection, cuvette with sample holder for keeping the solution to be analyzed , detector (photocell) and reading device (galvanometer or micro-ammeter). The tungsten filament lamp gives the light radiation. […]

Double beam filter photometer

October 9, 2013, 9:13 pm

≫ Next: Draw Bode Plot with simple steps using semilog graph paper

≪ Previous: Single beam filter photometer

$

0

0

Double beam filter photometer: Diagram: Theory: It consists of a source of light (tungsten filament lamp), lens to make the light beam parallel, filter of wavelength selection, cuvette with sample holder for keeping the solution to be analyzed, mirror for incident the part of light beam onto reference photocell, two photocells (one as reference and […]

Draw Bode Plot with simple steps using semilog graph paper

November 25, 2013, 4:54 am

≫ Next: Addition of poles and zeros to the forward path transfer function – MATLAB Program

≪ Previous: Double beam filter photometer

$

0

0

Bode Plot Example: Question: A unity control feedback system has G(s) =80/s(s+2)(s+20). Draw the bode plot. Determine the gain margin and phase margin. Also determine gain cross-over frequency and phase cross-over frequency. Comment on the system stability using this Bode plot. Solution: Step 1: Arrange G(s)H(s)in time constant form as follows: Step 2: Identify factors […]

Addition of poles and zeros to the forward path transfer function – MATLAB Program

November 30, 2013, 7:47 am

≫ Next: Effects of addition of poles and zeros to closed loop transfer function of a control system – MATLAB program

≪ Previous: Draw Bode Plot with simple steps using semilog graph paper

$

0

0

Effect of addition of pole and zero to forward path transfer function. Aim: Study and plot unit step response of addition of pole and zero to the forward path transfer function for a unity feedback system. Plot the response for four different values of poles and zeros. Comment on the effect of addition of poles […]