Learn · Introduction To Robotics
Lecture 22 of 43Week 7
The Brushless DC Machine
Prof. Asokan T Prof. Balaraman Ravindran Prof. Krishna Vasudevan · IIT Madras
Credits and licence
- From
- Introduction To Robotics, IIT Madras (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- Introduction
- Evolution of Robotics
- Kinematics- Coordinate transformations
- Homogeneus Transformation Matrix
- Industrial Robot- Kinematic Structures
- Robot Architectures
- Kinematic Parameters
- DH Algorithm
- DH Algorithm- Examples
- Forward Kinematics
- Forward Kinematics- Examples
- Inverse Kinematics
- Inverse Kinematics- Examples
- Differential Relations
- Manipulator Jacobian and Statics
- Overview of Electric Actuators and Operational Needs
- Principles of DC Motor Operation
- DC Motor Equations and Principles of Control
- DC Motor Control Regions and Principles of Power Electronics
- Power Electronic Switching and Current Ripple
- The H-Bridge and DC Motor Control Structure
- The Brushless DC Machine
- Control of the Brushless DC Motor
- The PM Synchronous Motor (PMSM) and SPWM
- Principles of PMSM Control
- Encoders for Speed and Position Estimation
- Stepper Motors
- Introduction to Probabilistic Robotics.
- Recursive State Estimation: Bayes Filter
- Recursive State Estimation: Bayes Filter Illustration.
- Probability basics
- Probability basics
- Kalman Filter
- Extended Kalman Filter
- Particle Filter
- Binary Bayes
- Velocity Motion Model
- Odometry Motion Model
- Occupa Grid Mapping
- Range Finder Measurement Model
- Localization Taxonomy
- Markov Localization
- Path Planning