# Helicopter control and its general models (thesis)

- Hypothesis of the study
- Plan of the study
- DRA Research Puma XW241
- Input data
- Atmospheric conditions
- Introduction
- Mean sea level conditions
- Determination of the temperature
- Pressure modeling
- Density modeling
- Calculation of other parameters
- Validity of the model

- Lift coefficient
- Introduction
- Input data for the Helicopter DRA research Puma XW241
- Prandtl Lifting Line Theory
- The monoplane equation
- Solution of the monoplane equation
- Implementation on Matlab
- Interpretation of the results

- Lift and drag forces
- Introduction
- Input data
- Sufficient lift for takeoff
- Additional study: design of the wing
- Lift force calculation

- Pressure coefficient
- Introduction
- NACA airfoils
- Input data
- Theoretical model
- Results of the study
- Conclusion

- Helicopter noise reduction
- Introduction
- The Blade-vortex interaction
- Theoretical model
- Results of the investigation

- Calculation of helicopter power
- Introduction
- Motion of the helicopter and its elements
- Atmospheric parameters
- Results and interpretation

Simulations on **helicopters** are very useful for companies and research labs when one wants to make dynamic analysis, study the trajectory, investigate air combat, prepare pilot training and do many other tasks. The problem is that, regarding **helicopters**, very few investigations have been conducted and very few accurate programs which model their behavior exist in the scientific literature. Recent ones focus on quite rare flights in practice, as in the work of K. Sibiliski [Sibilski 1998 Sibilski 1999] in the late 90s, or enough incomplete in their modeling as the study lead by students from MH Lowenberg [Bedford and Lowenberg 2003, Bedford and Lowenberg 2004, Rezgui et al. 2006]. Meanwhile, the National Aeronautics and Space Administration (NASA) developed a program through the software Matlab whose name is "Minimum-Complexity Helicopter Simulation Math Model" (MCHSMM). This model is a flight simulator of a helicopter and has many advantages as it relies on basic data sources and does not require powerful computer tools. So, it allows low cost real-time simulations.