Friday, July 20, 2018
Monday, July 16, 2018
Sunday, July 15, 2018
Thursday, July 12, 2018
Wednesday, July 11, 2018
Tuesday, July 10, 2018
Sunday, July 8, 2018
Saturday, July 7, 2018
Friday, July 6, 2018
Design of Snake Robot
Are you Interested in the design of Snake robot?
The below Videos shows a few snake robots
Video-1
The below Videos shows a few snake robots
Video-1
The design of these robots are given in the below book
Snake Robots
Modelling, Mechatronics, and Control
Authors: Liljebäck, P., Pettersen, K.Y., Stavdahl, O., Gravdahl, J.T.Available at https://www.springer.com/in/book/9781447129950
Thursday, July 5, 2018
Tuesday, July 3, 2018
Monday, July 2, 2018
Sunday, July 1, 2018
Thursday, June 28, 2018
Save Power and Save Earth
Pollution has been increased drastically and has negative effects on human health. The entire human life on earth is on danger. The below cartoon in eenadu news paper depicts the same
One of the key reasons of increased pollution is thermal power plants where coal is burnt for generating electricity.
It is observed that the overall efficiency of the power system is 17% when measured w.r.t coal input. Therefore If I save one unit of electrical energy, then indirectly I save 6 to 7 units of coal and thus reduce Pollution. So finally I say "SAVE POWER & SAVE EARTH"
One of the key reasons of increased pollution is thermal power plants where coal is burnt for generating electricity.
It is observed that the overall efficiency of the power system is 17% when measured w.r.t coal input. Therefore If I save one unit of electrical energy, then indirectly I save 6 to 7 units of coal and thus reduce Pollution. So finally I say "SAVE POWER & SAVE EARTH"
Wednesday, June 27, 2018
Nonlinear Model Predictive Control & MATLAB code
Model Predictive Control (MPC) is one of the recent control technique developed by control engineers and is gaining popularity in the last decade. The applications of MPC are not just limited to Process industries, Aerospace, Power system, Drives, Renewable Energy systems etc.
For Understanding this control one can refer [1] and the corresponding MATLAB code are available at the below link:
http://extras.springer.com/2007/978-0-85729-398-5
The nonlinear version of MPC is called Nonlinear Predictive control
For understanding Nonlinear Predictive Control refer [2] and the MATLAB codes are available at the below link
http://extras.springer.com/2017/978-3-319-46023-9/matlab
References:
[1] Camacho, Eduardo F., and Carlos Bordons Alba, "Model predictive control. Springer Science & Business Media", springer, 2013.
For Understanding this control one can refer [1] and the corresponding MATLAB code are available at the below link:
http://extras.springer.com/2007/978-0-85729-398-5
The nonlinear version of MPC is called Nonlinear Predictive control
For understanding Nonlinear Predictive Control refer [2] and the MATLAB codes are available at the below link
http://extras.springer.com/2017/978-3-319-46023-9/matlab
References:
[1] Camacho, Eduardo F., and Carlos Bordons Alba, "Model predictive control. Springer Science & Business Media", springer, 2013.
[2] Grüne, Lars, Pannek, Jürgen, "Nonlinear Model Predictive Control : Theory and Algorithms", springer, 2017.
Monday, June 25, 2018
MATLAB code for Kalman Filter, H-infinity filter, Particle filter, UKF filter
Are you learning Kalman filter, H-infinity filter and other advanced filters?
Then you can refer this book Optimal State Estimation: Kalman, H-infinity, and Nonlinear Approaches" by Dan Simon.
The MATLAB codes for this book are avilablein the website given below
http://academic.csuohio.edu/simond/estimation/
MATLAB Code for Optimization algorithms
Are you working in application of optimization in Electrical Engineering Problems?
Are you struggling in writing the MATLAB code?
Find the links below for different Optimization algorithms
For algorithms like Grey wolf optimization, Antlion optimization, Grasshopper optimization etc
For Different versions of Differential algorithm, Particle swarm optimization etc
For Biogeography-Based Optimization
For other algorithms
Saturday, June 23, 2018
Friday, June 22, 2018
68-bus benchmark Power System Model MATLAB/Simulink files
This is one of the most popular benchmark model with 16 machines, 68-bus, and 5-areas. This model represents interconnected New England test system and New York power system. The detailed report of the this benchmark model is given in [1]. This benchmark model is very useful for researchers who are working in the area of control and state estimation of power systems. Thanks to Prof. Bikash C. Pal and his team.
For downloading the files click the link provided
http://www.sel.eesc.usp.br/ieee/
Reference:
[1] Singh, A.K., Pal, B.C.: ‘IEEE PES task force on benchmark systems for stability controls report on the 68-bus, 16-machine, 5-area system’ (Imperial College London, London, UK, 2013).
For downloading the files click the link provided
http://www.sel.eesc.usp.br/ieee/
Reference:
[1] Singh, A.K., Pal, B.C.: ‘IEEE PES task force on benchmark systems for stability controls report on the 68-bus, 16-machine, 5-area system’ (Imperial College London, London, UK, 2013).
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Are you working in application of optimization in Electrical Engineering Problems? Are you struggling in writing the MATLAB code? Fi...
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Are you learning Kalman filter, H-infinity filter and other advanced filters? Then you can refer this book Optimal State Estimation: Ka...