A Study on Working Plan of Intelligent Excavator

Abstract

Intelligent excavator has four sensors which can detect the length of each cylinder and electronic valves which are used to control flow rate of hydraulic oil electrically. Intelligent excavator is controlled by the information from these sensors and control signals. Using the position control, excavator can work on the programmed path. In this case, controller needs to know how deep the excavator digs the ground in the short working time efficiently. Considering the working time and fuel efficiency, the most efficient work is similar to the work that the experts drive the excavator usually.In this paper, we study the path used by the expert of excavator and then the controller generates the similar path for applying this generated path to the real excavator.

Modelling and Verification of Vending Machine Systems by Using Timed Petri Nets

“…A previous study [18] presented a reusable colored Petri net (RCPN) for a coffee vending machine. Formal definitions provided for the RCPN as a reuse extension to the hierarchical colored Petri net (HCPN).…”