Modeling and Simulation of Hydraulic Shock Absorber Parameter Identification

 

Implementation Plan:

 

Step 1: Initially, we construct Hydraulic Shock Absorber Modeling and collect a shock absorber measurement dataset and set it up for a data processing pipeline.

Step 2: Then, we preprocess the signals using low-pass filtering, cycle averaging, and signal alignment to obtain clean force–velocity data.

Step 3: Next, we analyze an empirical shock absorber model using force–velocity lookup tables and polynomial surface fitting methods for compression and rebound characteristics.

Step 4: Next, we implement the physical hydraulic shock absorber model in using the collected measurement data and estimate model parameters through constrained nonlinear optimization using the SQP-based fmincon algorithm.

Step 5: Then, we implement the friction model (Coulomb, viscous, and Stribeck effects) and perform automated parameter tuning using the optimisation algorithm to minimise the error between simulated and measured damper forces.

Step 6: Finally, we validate the evaluate performance metrics such as

6.1: Time (s) Vs. Suspension Travel (m)
6.2: Time (s) Vs. Body Acceleration (m/s²)
6.3: Velocity (m/s) Vs. Damper Force (N)
6.4: Displacement (m) Vs. Damper Force (N)

Software Requirements:

 

1. Development Tool: Matlab-R2023a/Simulink or above
2. Operating System: Windows 10 (64-bit) or above

 

Note:

 

1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.

2) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.

3) If the plan satisfies your requirement, Please confirm with us.

4) Project based on Simulation only.