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The MATLAB Fundamentals for Aerospace Applications course introduces learners to MATLAB and its use in solving aerospace engineering challenges. The training covers data analysis, mathematical modeling, simulation, visualization, and basic aerospace applications such as flight dynamics, control systems, and UAV development. Through practical examples and hands-on exercises, students learn how MATLAB is used in the aerospace, defense, and aviation industries for design, testing, and research. This course is ideal for aerospace engineering students, avionics engineers, flight control engineers, UAV/drone developers, and professionals working in defense and space research.
Duration of Training : 40–50 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation
Curriculum Designed by Experts
• Aerospace Engineering Students
• Avionics Engineers
• Flight Control Engineers
• UAV/Drone Developers
• Defense & Space R&D Professionals
Platform Covered:
MATLAB
Optional Tools:
Simulink
Aerospace Toolbox
Aerospace Blockset
• MATLAB Interface & Environment
• Variables & Data Types
• Matrices & Vectors
• Scripts & Functions
• Control Statements (if, loops)
• Plotting & Visualization
Lab:
• Basic flight trajectory plotting
• Matrix-based kinematic calculations
• Linear Algebra in Flight Dynamics
• Diaerential Equations
• Numerical Methods
• Root Finding & Optimization
• Curve Fitting
Lab:
• Solve projectile motion
• Numerical solution of flight equations
• ECI, ECEF, NED Frames
• Body Frame Transformations
• Direction Cosine Matrix
• Euler Angles
• Quaternions Basics
Lab:
• Implement coordinate transformation
• Convert Euler angles to DCM
• Aircraft Forces & Moments
• Stability & Control Basics
• Longitudinal & Lateral Motion
• State-Space Representation
Lab:
• Build state-space aircraft model
• Simulate aircraft response
• Transfer Functions
• PID Controllers
• Root Locus
• Bode Plot
• Stability Analysis
Lab:
• Design autopilot controller
• Tune PID for pitch control
• Simulink Basics
• Model-Based Design
• Aerospace Blockset Usage
• Flight Simulation Models
• Signal Routing
Lab:
• Create closed-loop flight control system
• Simulate UAV pitch control
• GPS Basics
• INS Fundamentals
• Kalman Filter Basics
• Sensor Fusion
Lab:
• Implement simple Kalman Filter
• Simulate noisy sensor correction
• Quadrotor Dynamics
• Thrust & Torque Modeling
• Stability Analysis
• Path Planning Basics
Lab:
• Simulate quadcopter hover
• Basic waypoint navigation
• Orbital Mechanics Basics
• Kepler’s Laws
• Two-Body Problem
• Orbit Propagation
Lab:
• Simulate satellite orbit
• Plot orbital trajectory
Choose One:
1⃣ Aircraft Pitch Control System
2⃣ UAV Flight Stabilization Model
3⃣ Satellite Orbit Simulation
4⃣ Missile Trajectory Simulation
Includes:
• Modeling
• Simulation
• Controller Design
• Performance Analysis
• Report Presentation
• MATLAB Aerospace Workbook
• 50 Aerospace Practice Problems
• 3 Mini Projects
• Capstone Project
• Interview Question Bank
• Resume Enhancement Guidance
• Aerospace Simulation Engineer
• Flight Control Engineer
• UAV Systems Engineer
• Avionics Engineer
• Research Engineer (Defense/Space)
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