No abstract

This paper proposes a new method for real-time rigid body simulations for haptic interfaces based on contact volume. Analytical methods for calculations of contact forces take too much time to keep fast update rates of haptic controls. In addition, they prohibit direct connection of haptic interfaces.Penalty methods, which employ spring-damper model for calculations of contact force, are very fast per iterations. In addition, they permit direct connection of haptic interfaces. Therefore penalty methods are good for haptic interactions.However, previous penalty methods do not regard distribution of contact forces over contact area. They can't calculate normal and friction forces on face-face contacts correctly. We suppose distributed spring-damper model on contact area to solve these problems. We analyze three dimensional shape of intersection part on polyhedral objects. Then, we integrate forces and torques of distributed spring-damper models. We implement proposed simulator and compare it with point-based penalty method. It showed that only proposed simulator can simulate face-face contact and friction forces correctly. In addition, we connect a 6 DOF haptic interface to the simulator. Users can feel 6 DOF force feedback and input 6 DOF motion.

This paper deals with maximum power point tracking control of photovoltaic generators. Photovoltaic generation systems need maximum power point tracker because the PV power output depends on the operating terminal voltage and current. Further, the PV array exhibits two or more MPP's under partial shading condition and hence finding the MPP using conventional techniques is a difficult task. To overcome the difficulty, finding the MPP, the authors have proposed a novel MPPT algorithm by introducing Particle Swarm Optimization technique. Further, the proposed algorithm uses only one pair of sensors to control multiple PV arrays. This results in lower cost, higher overall efficiency and also the algorithm is simple. Proposed MPPT algorithm is verified through experimental studies. Several partial shading conditions were tested and in all these cases the algorithm takes about one second to reach the global MPP. The reachability to MPP is good in both shading and unshading.

No abstract

No abstract