This paper addresses a surveillance problem in which the goal is to achieve a circular motion around a target by a non-holonomic agent. The agent only knows its own position with respect to its initial frame, and the bearing angle of the target in that frame. It is assumed that the position of the target is unknown. An estimator and a controller are proposed to estimate the position of the target and make the agent move on a circular trajectory with a desired radius around it. The performance of the proposed algorithm is verified both through simulations and experiments. Robustness is also established in the face of noise and target motion.
This is a repository copy of Understanding the role of surface textures in improving the performance of boundary additives, part II: Numerical simulations.
Although the particle adhesion is a classic problem in cyclones, it is not clearly understood in previous studies. This study was set out to determine factors affecting the micro-particle adhesion in an acrylonitrile butadiene styrene cyclone by developing a mesh-free simulation method to predict the dynamic motion of a single particle in a 2D horizontal section of the cyclone with the presence of the wall boundary layer. Simulation results showed that the centrifugal force played a minor role on the particle adhesion but it was important on the transportation of the particle. In contrast, the electrostatic force was important on the particle adhesion but it was not important on the transportation of the particle. Moreover, simulation results suggested that the particle adhesion can be reduced by increasing the inlet velocity of the cyclone or by increasing the coefficient of restitution of the particle–wall collision. In contrast, the particle adhesion can be increased by increasing the radius of the cyclone, the particle charge and the coefficient of friction. Furthermore, simulation results on the effect of the inlet velocity and particle charge were validated by experimental results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.