Simulation of a pneumatic hand crane for work support was developed for system design. The crane's mathematical model consists of a pneumatic cylinder model, a crane link model, and a controller that includes a human model to passively operate the hand crane by operating force. The human model's inverse system learns using a neural network. The feasibility of the simulation was demonstrated in comparison with measurement results from operating force and acceleration.

A power assist system is operated by a human operator, so it is very important to consider the human element in the control loop. In order to evaluate the performance of the power assist system in the design process, usage of simulation, which includes the human factor, is quite effective. In this study simulation of a pneumatic hand crane for work support is

No abstract

No abstract