| 제목 |
망각인자 회기 최소 자승법 및 저역필터를 이용한 차량 질량 추정 알고리즘 |
| 분야 |
차량동역학 및 제어 |
| 언어 |
Korean |
| 저자 |
김민수(군산대학교), 최규재(군산대학교), 홍명기(전북자동차융합기술원) |
| Key Words |
Electronic stability control(ESC) system(전자식 주행 안정성 제어 시스템), Commercial vehicle(상용차량), Vehicle mass(차량 질량), Recursive leasts square(RLS) method(회기 최소 자승기법), Recursive least squares(RLS) with forgetting method(망각인자 회기 최소 자승기법) |
| 초록 |
The development of vehicle control systems, such as the electronic stability control(ESC) system, requires an accurate estimation of a commercial vehicle’s mass. In particular, the total mass of commercial vehicles(e.g., heavy truck and bus) varies widely according to loading and unloading conditions. This paper presents a real-time vehicle mass estimation algorithm by using the recursive least squares method with forgetting and low-pass filter. Based on the vehicle longitudinal dynamics model, a 4x2 truck was modeled by using the TruckSim software and the estimated vehicle mass was calculated by using the recursive least squares method with forgetting. Low-pass filter is used to reduce the noise of real vehicle sensors signal. The proposed vehicle mass estimation algorithm was verified through several vehicle simulations. |
| 원문(PDF) |
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