Udemy - Vehicle suspension control 3 - PID + LQR + Resonance analysis

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Udemy - Vehicle suspension control 3 - PID + LQR + Resonance analysis (Size: 3.6 GB)
  1 -Intro to PID control - intuition.mp4 102.8 MB
  1 -Introducing the quarter car model.mp4 27.4 MB
  1 -Introduction.mp4 17.2 MB
  1 -LQR control vs Pole Placement control.mp4 73.7 MB
  1 -Obtaining the undamped natural frequencies of the Half-car model.mp4 119.9 MB
  1 -Python installation (Windows).mp4 38.6 MB
  1 -Revision of the topics covered.mp4 46.5 MB
  10 -Dominant pole approximation 4 Half-car model.mp4 56.6 MB
  10 -Tuning the PID constants with a reduced order model.mp4 56.1 MB
  10 -Using AI prompts for tuning 6 PID constants 2.mp4 27.6 MB
  11 -Follow-Up.mp4 982.1 KB
  2 - Bonus lecture.html 2.4 KB
  2 - Python code files.html 204.8 B
  2 -Final exam instructions.mp4 82.5 MB
  2 -Intro to the closed loop PID schematic.mp4 35.2 MB
  2 -LQR's cost function and the weights.mp4 91.7 MB
  2 -LQR_2DOF_sim.py 10.4 KB
  2 -LQR_4DOF_sim.py 23 KB
  2 -PID_1DOF_sim.py 6 KB
  2 -Quarter car's equations of motion.mp4 28.4 MB
  2 -Setting up the simplified quarter car model.mp4 53.2 MB
  2 -Undamped natural frequencies & the pole magnitudes in the s-plane.mp4 83.3 MB
  2 -half_car_approximation.py 5.6 KB
  2 -step_response.py 2 KB
  3 -Code explanation 1 Half-car model.mp4 82.4 MB
  3 -General formulation of a closed loop transfer function.mp4 27.4 MB
  3 -Half-car modeling.mp4 87.9 MB
  3 -Modeling the simplified quarter car model mathematically.mp4 65 MB
  3 -Quarter car's state-space matrices + PID challenges.mp4 78.5 MB
  3 -Setting up the preferences in LQR using the weights.mp4 91 MB
  4 -Closed loop transfer function in terms of the PID constants.mp4 75.4 MB
  4 -Code explanation 2 Half-car model.mp4 71 MB
  4 -Computing the natural equilibrium point of the half-car model.mp4 110.8 MB
  4 -Dominant pole approximation 1.mp4 90.8 MB
  4 -Riccati equation derivation 1.mp4 65.9 MB
  4 -Writing the model in terms of the damping ratio.mp4 97.7 MB
  5 -Code explanation 3 Half-car model.mp4 123.4 MB
  5 -Dominant pole approximation 2.mp4 36.3 MB
  5 -Expressing PID constants in terms of closed loop poles.mp4 85.3 MB
  5 -Linearizing the half-car model 1.mp4 87.4 MB
  5 -Riccati equation derivation 2.mp4 65 MB
  5 -Solving the model's ODE analytically.mp4 43.6 MB
  6 -Dominant pole approximation 3.mp4 42.4 MB
  6 -Explaining the the PID code in Python.mp4 45.8 MB
  6 -Expressing harmonic functions in the magnitude and phase shift form.mp4 50.2 MB
  6 -Intro to the Full-car model.mp4 24.8 MB
  6 -Linearizing the half-car model 2.mp4 69.6 MB
  6 -Riccati equation derivation 3.mp4 93.2 MB
  7 -Applying PID-s to a MIMO system.mp4 19.5 MB
  7 -Dominant pole approximation 1 Half-car model.mp4 84.3 MB
  7 -Dominant pole approximation 4.mp4 79.8 MB
  7 -Expressing the oscillation magnitude in terms of the frequency ratio.mp4 75.8 MB
  7 -Modifying the cost function to minimize other variables.mp4 80.5 MB
  8 -Analyzing oscillation magnitude in the frequency domain.mp4 89.9 MB
  8 -Approximating the quarter car with dominant poles 1.mp4 63.8 MB
  8 -Closed loop transfer function matrix + theoretical pole placement.mp4 112.8 MB
  8 -Dominant pole approximation 2 Half-car model.mp4 39.3 MB
  8 -Quarter car's code explanation.mp4 87.1 MB
  9 -Approximating the quarter car with dominant poles 2.mp4 67.7 MB
  9 -Dominant pole approximation 3 Half-car model.mp4 69.6 MB
  9 -Expressing the undamped natural frequency in the s-plane.mp4 34.7 MB
  9 -PID and LQR simulation results.mp4 28.5 MB
  9 -Using AI prompts for tuning 6 PID constants 1.mp4 51 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 65 total files

Description


Vehicle suspension control 3: PID + LQR + Resonance analysis

https://WebToolTip.com

Published 5/2025
Created by Mark Misin Engineering Ltd
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 58 Lectures ( 7h 0m ) | Size: 3.6 GB

Advanced vehicle suspension control using PID, LQR, resonance analysis, tuning with AI, and dominant pole approximation

What you'll learn
Apply PID control to minimize vibrations in simple 1DOF vehicle models effectively.
Implement LQR control with tire dynamics to enhance vehicle stability and ride comfort.
Reduce model complexity using dominant pole approximation for easier controller tuning.
Apply LQR control techniques to half-car models for improved ride comfort and handling.
Use AI to tune six PID constants in MIMO systems, optimizing suspension performance.
Detect resonance frequencies in vehicle models to mitigate unwanted vibrations.

Requirements
It's important to know Calculus
Vehicle suspension control 1: Linearize nonlinear systems
Vehicle suspension control 2: Modal Analysis + Pole Placement

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