Aerodynamics of Drones detailed syllabus for Robotics & Automation Engineering (Robotics) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Robotics students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Robotics & Automation Engineering 6th Sem scheme and its subjects, do visit Robotics 6th Sem 2021 regulation scheme. For Professional Elective-VI scheme and its subjects refer to Robotics Professional Elective-VI syllabus scheme. The detailed syllabus of aerodynamics of drones is as follows.
Course Objectives:
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Unit I
PAYLOAD FOR UAV 9
Introduction – Types – Non-dispensable Payloads – Electro-optic Payload Systems – Electro-optic Systems Integration – Radar Imaging Payloads – Other Non-dispensable Payloads – Dispensable Payloads – Payload Development.
Unit II
SENSOR 9
Data fusion applications to multiple sensor systems – Selection of sensors – Benefits of multiple sensor systems – Influence of wavelength on atmospheric attenuation – Fog characterization -Effects of operating frequency on MMW sensor performance – Absorption of MMW energy in rain and fog – Backscatter of MMW energy from rain – Effects of operating wavelength on IR sensor performance – Visibility metrics – Atmospheric and sensor system computer simulation models
Unit III
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Unit IV
ARTIFICIAL NEURAL NETWORKS 9
Applications of artificial neural networks – Adaptive linear combiner – Linear classifiers – Capacity of linear classifiers – Nonlinear classifiers – Madaline – Feedforward network – Capacity of nonlinear classifiers – Supervised and unsupervised learning – Supervised learning rules – Voting Logic Fusion
Unit V
FUZZY LOGIC AND FUZZY NEURAL NETWORKS 9
Conditions under which fuzzy logic provides an appropriate solution – Illustration of fuzzy logic in an automobile antilock braking system – Basic elements of a fuzzy system – Fuzzy logic processing -Fuzzy centroid calculation
Course Outcomes:
Students will be able to
- Calculate the payloads in UAV.
- Explain the concepts sensor systems.
- Predict the data fusion algorithms and architectures.
- Learn the basics neural network systems
- Design various network schemes.
Text Books:
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Reference Books:
- Lawrence A. Klein, “Sensor and Data Fusion: A Tool for Information Assessment and Decision Making”, Second Edition, SPIE Press, 2013.
- Jitendra R. Raol, “Multi-Sensor Data Fusion with MATLAB”, CRC Press, 2010.
For detailed syllabus of all the other subjects of Robotics & Automation Engineering 6th Sem, visit Robotics 6th Sem subject syllabuses for 2021 regulation.
For all Robotics & Automation Engineering results, visit Anna University Robotics all semester results direct link.