No abstract

This paper presents a numerical study to predict the particle separation performance of a dust-settling hopper using computational fluid dynamics. The Euler-Lagrange approach was employed to analyze the particle separation efficiency and the outflow particle concentration of the dust-settling hopper under different inlet airflow velocities. The calculation results obtained reveal that the overall particle separation efficiency and the outflow particle concentration decrease with the increase of the inlet airflow velocity, and the particle grade efficiency increases with particle size. Since there is a paradox between the particle separation performance and the particle removal performance for a street vacuum sweeper, it is necessary to counter-balance the effects of the inlet airflow velocity on them. According to the simulation analysis, an appropriate inlet airflow velocity is provided for the design of the dust-settling hopper.

The paper proposes a multi-input-multi-output internal model control (MIMO IMC) based on combined brake and front wheel active steering (Brake-FAS) for vehicle stability control and makes comparisons with the four wheel steering internal model control (4WS IMC). Brake control would change vehicle velocity which will make the vehicle control model nonlinear. To solve the nonlinearity involved in the Brake-FAS, an inverse system method is introduced to turn the nonlinear internal vehicle model into a pseudo-linear system, and then the design of main IMC controller and related filters is discussed in details. Comparisons of the Brake-FAS IMC and 4WS IMC were done on the basis of simulations which were composed of different combinations of driving maneuvers and road conditions in Simulink where an 11DOF vehicle model verified by CarSim7 was built.

No abstract

No abstract