Udemy - Vehicle suspension control 3 - PID + LQR + Resonance anal...
- Category Other
- Type Tutorials
- Language english
- Total size 3.6 GB
- Uploaded By freecoursewb
- Downloads 22
- Last checked 18 hours ago
- Date uploaded 18 hours ago
- Seeders 10
- Leechers 7
Info Hash : A131410B7306A724D7B759BA2E00F87F8346AB7B
Files:
Udemy - Vehicle suspension control 3 - PID + LQR + Resonance anal...- udp://tracker.torrent.eu.org:451/announce
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Code:
- Get Bonus Downloads Here.url (0.2 KB)
- 1 -Introduction.mp4 (17.2 MB)
- 2 -Setting up the simplified quarter car model.mp4 (53.2 MB)
- 3 -Modeling the simplified quarter car model mathematically.mp4 (65.0 MB)
- 4 -Writing the model in terms of the damping ratio.mp4 (97.7 MB)
- 5 -Solving the model's ODE analytically.mp4 (43.6 MB)
- 6 -Expressing harmonic functions in the magnitude and phase shift form.mp4 (50.2 MB)
- 7 -Expressing the oscillation magnitude in terms of the frequency ratio.mp4 (75.8 MB)
- 8 -Analyzing oscillation magnitude in the frequency domain.mp4 (89.9 MB)
- 9 -Expressing the undamped natural frequency in the s-plane.mp4 (34.7 MB)
- 1 -Intro to PID control - intuition.mp4 (102.8 MB)
- 10 -Using AI prompts for tuning 6 PID constants 2.mp4 (27.6 MB)
- 11 -Follow-Up.mp4 (982.1 KB)
- 2 -Intro to the closed loop PID schematic.mp4 (35.2 MB)
- 3 -General formulation of a closed loop transfer function.mp4 (27.4 MB)
- 4 -Closed loop transfer function in terms of the PID constants.mp4 (75.4 MB)
- 5 -Expressing PID constants in terms of closed loop poles.mp4 (85.3 MB)
- 6 -Explaining the the PID code in Python.mp4 (45.8 MB)
- 7 -Applying PID-s to a MIMO system.mp4 (19.5 MB)
- 8 -Closed loop transfer function matrix + theoretical pole placement.mp4 (112.8 MB)
- 9 -Using AI prompts for tuning 6 PID constants 1.mp4 (51.0 MB)
- 1 -Introducing the quarter car model.mp4 (27.4 MB)
- 10 -Tuning the PID constants with a reduced order model.mp4 (56.1 MB)
- 2 -Quarter car's equations of motion.mp4 (28.4 MB)
- 3 -Quarter car's state-space matrices + PID challenges.mp4 (78.5 MB)
- 4 -Dominant pole approximation 1.mp4 (90.8 MB)
- 5 -Dominant pole approximation 2.mp4 (36.3 MB)
- 6 -Dominant pole approximation 3.mp4 (42.4 MB)
- 7 -Dominant pole approximation 4.mp4 (79.8 MB)
- 8 -Approximating the quarter car with dominant poles 1.mp4 (63.8 MB)
- 9 -Approximating the quarter car with dominant poles 2.mp4 (67.7 MB)
- 1 -LQR control vs Pole Placement control.mp4 (73.7 MB)
- 2 -LQR's cost function and the weights.mp4 (91.7 MB)
- 3 -Setting up the preferences in LQR using the weights.mp4 (91.0 MB)
- 4 -Riccati equation derivation 1.mp4 (65.9 MB)
- 5 -Riccati equation derivation 2.mp4 (65.0 MB)
- 6 -Riccati equation derivation 3.mp4 (93.2 MB)
- 7 -Modifying the cost function to minimize other variables.mp4 (80.5 MB)
- 8 -Quarter car's code explanation.mp4 (87.1 MB)
- 9 -PID and LQR simulation results.mp4 (28.5 MB)
- 1 -Revision of the topics covered.mp4 (46.5 MB)
- 10 -Dominant pole approximation 4 Half-car model.mp4 (56.6 MB)
- 2 -Final exam instructions.mp4 (82.5 MB)
- 3 -Half-car modeling.mp4 (87.9 MB)
- 4 -Computing the natural equilibrium point of the half-car model.mp4 (110.8 MB)
- 5 -Linearizing the half-car model 1.mp4 (87.4 MB)
- 6 -Linearizing the half-car model 2.mp4 (69.6 MB)
- 7 -Dominant pole approximation 1 Half-car model.mp4 (84.3 MB)
- 8 -Dominant pole approximation 2 Half-car model.mp4 (39.3 MB)
- 9 -Dominant pole approximation 3 Half-car model.mp4 (69.6 MB)
- 1 -Obtaining the undamped natural frequencies of the Half-car model.mp4 (119.9 MB)
- 2 -Undamped natural frequencies & the pole magnitudes in the s-plane.mp4 (83.3 MB)
- 3 -Code explanation 1 Half-car model.mp4 (82.4 MB)
- 4 -Code explanation 2 Half-car model.mp4 (71.0 MB)
- 5 -Code explanation 3 Half-car model.mp4 (123.4 MB)
- 6 -Intro to the Full-car model.mp4 (24.8 MB)
- 1 -Python installation (Windows).mp4 (38.6 MB)
- 2 - Bonus lecture.html (2.4 KB)
- 2 - Python code files.html (0.2 KB)
- 2 -LQR_2DOF_sim.py (10.4 KB)
- 2 -LQR_4DOF_sim.py (23.0 KB)
- 2 -PID_1DOF_sim.py (6.0 KB)
- 2 -half_car_approximation.py (5.6 KB)
- 2 -step_response.py (2.0 KB)
- Bonus Resources.txt (0.1 KB)