Dynamic Derivatives#

Dynamic derivatives are essential coefficients that characterize an aircraft’s stability and control characteristics. Flow360 provides advanced capabilities for accurately computing these derivatives using time-accurate CFD simulations with prescribed motions. These derivatives are crucial inputs for flight dynamics models, control system design, and handling qualities assessment.

πŸ”„ Dynamic Simulation Methods

Learn techniques for setting up prescribed motion simulations to compute pitch, roll, and yaw dynamic derivatives and other stability parameters.

Dynamic Derivatives

Key Concepts in Dynamic Derivative Analysis#

  • Static vs. dynamic stability coefficients

  • Frequency-dependent aerodynamic behavior

  • Small-perturbation vs. large-amplitude motions

  • Forced oscillation techniques in CFD

  • Linear vs. nonlinear aerodynamic modeling

  • Time domain and frequency domain analysis methods

Applications#

Dynamic derivatives are essential for numerous aerospace applications:

  • Flight dynamics model development and validation

  • Control system design and analysis

  • Flight simulator aerodynamic databases

  • Aircraft certification and regulatory compliance

  • Stability augmentation system design

  • Flutter and aeroelastic analysis

  • Handling qualities assessment

Simulation Approaches#

Flow360 supports various methods for computing dynamic derivatives:

Forced Oscillation Technique: * Prescribe sinusoidal motions (pitch, roll, yaw) * Extract in-phase and out-of-phase components * Determine frequency-dependent derivatives

Small Perturbation Method: * Apply small amplitude motions around trim conditions * Compute linear stability derivatives * Validate linear aerodynamic assumptions

Time-Domain System Identification: * Process time-history data from dynamic simulations * Extract derivatives using parameter estimation techniques * Build reduced-order models from high-fidelity CFD

Rotary Balance Simulation: * Model continuous rotation about body axes * Capture nonlinear aerodynamic damping effects * Predict spin characteristics and recovery