Comparative analysis of performance of handling control model and AI-based prediction model
- 차량 동력학 책을 공부하면서 기존의 제어 시스템에 대한 이해도를 향상시키고자 함.
- Matlab을 활용한 14자유도의 핸들링 제어 모델을 만들어 AI 기반의 예측모델과 성능 비교 분석을 진행
- vehicle sprung mass(kg)
- Distance of sprung mass C.G. from front axle(m)
- Distance of sprung mass C.G from rear axle(m): 3) - 2)
- Front track width (m)
- Rear track width (m)
- Height of sprung mass C.G. from rground (m)
- Vehicle total mass (kg)
- Distance of vehicle C.G. from front axle (m)
- Distance of vehicle C.G. from rear axle (m) : 3) - 2)
- Pitch moment of inertia (kgm^2)
- Roll moment of inertia (kgm^2)
- Yaw moment of inertia (kgm^2)
- Front left unsprung mass (kg)
- Front right unsprung mass (kg)
- Rear left unsprung mass (kg)
- Rear right unsprung mass (kg)
- Wheel radius (m)
- Wheel moment of inertia (kgm^2)
- Front left suspension stiffness (N/m)
- Front right suspension stiffness (N/m)
- Rear left suspension stiffness (N/m)
- Rear right suspension stiffness (N/m)
- Front left suspension damping coefficient (Nsec/m)
- Front right suspension damping coefficient (Nsec/m)
- Rear left suspension damping coefficient (Nsec/m)
- Rear right suspension damping coefficient (Nsec/m)
- Front right tire stifness (N/m)
- Front left tire stifness (N/m)
- Rear right tire stifness (N/m)
- Rear right tire stifness (N/m)
- Gravitional acceleration (ms^-2)
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