Time-energy consumption optimal path-constrained trajectory planning of
excavator robotics
Abstract
During the cyclic operation process of hydraulic excavators, based on
manual experience, issues such as low work efficiency and high energy
consumption can cause significantly high wearing of the joints of the
excavator; this markedly affects the service life of the excavator. To
solve such issues, we propose a secondary trajectory optimization method
based on time–energy consumption that enables the excavator to conduct
smooth, efficient, and low-energy-consumption work. Considering
different weight coefficient values and obtaining the optimal
time–energy trajectory, we compare the above-mentioned results with
those obtained through skilled manual operation of hydraulic excavators.
The experimental results demonstrate that through reasonable and
effective planning of each joint movement, the large jerk that occurs
during joint movement processes may be effectively avoided, the working
efficiency of the excavator is improved, unnecessary energy consumption
is reduced, and the excavator can operate autonomously under stable
conditions. These results verify the effectiveness and feasibility of
the proposed method.