The main objective of this project is to improve the dynamic performance of hall sensor controlled brushless dc motor drives.by using fast fault-tolerant control
In this project an improved fast FTC (FFTC) that obtains fast identification and compensation of asynchronous or simultaneous faults of up to two Hall sensors. The proposed FFTC method is validated experimentally and shown to maintain continuous operation even under extreme dynamic accelerations and sudden load variations, which are the advantages over alternative FTC methods. The Hall-sensor-controlled brushless DC (BLDC) motors are often considered in low-cost applications due to their simplicity of control and good performance in a wide range of operating conditions and speeds, where they still may be preferred over more complicated sensor less control. The simulation results can be evaluated by using Matlab/Simulink Software.
Keywords: Brushless DC (BLDC) motor, dynamic coefficient, fault diagnosis, fault tolerant control (FTC), Hall sensors, Hall signals fault.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Software Configuration:
Operating System : Windows 7/8/10
Application Software : Matlab/Simulink
Hardware Configuration:
RAM : 8 GB
Processor : I3 / I5(Mostly prefer)
· Introduction to Matlab/Simulink
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· About tools & libraries
· Application of Matlab/Simulink
· About Matlab desktop
· Features of Matlab/Simulink
· Basics on Matlab/Simulink
· We can learn about fast fault diagnosis and compensation method
· We can learn about Hall sensors, Hall signals fault
· We can learn about BLDC motor
· Project Development Skills:
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis