Sliding Mode Control of Hydraulic Power Shovel
Author(s) -
Hironao YAMADA,
Kyoji Takeichi,
Takayoshi Mato
Publication year - 2003
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2003.p0047
Subject(s) - excavator , control theory (sociology) , trajectory , inertia , boom , sliding mode control , nonlinear system , computer science , piston (optics) , control engineering , shovel , controller (irrigation) , backstepping , mode (computer interface) , engineering , control (management) , artificial intelligence , adaptive control , structural engineering , wavefront , physics , mechanical engineering , quantum mechanics , operating system , agronomy , optics , classical mechanics , astronomy , environmental engineering , biology
We report an excavator driven by three links – an arm, a boom, and a swing – as representative of construction robots. Each link consists of an electrohydraulic servosystem. A problem with such excavators is the high degree of skill and comparatively long-term training required to operate it. To solve this problem, we equip the excavator with a trajectory control algorithm to control the front end. Note that the excavator's servosystems are influenced by disturbances and by nonlinear features such as asymmetrical piston geometry, initial shifts in the neural positions of servovalves and variations in moving parts inertia. For trajectory control, we apply sliding mode control using a disturbance observer in servosystems. The dynamic performance of this trajectory control is studied in experiments and results confirmed the validity of the applied method.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom