A PI control strategy based on fuzzy set-point weighting following was proposed for the active damping control of a hydraulic crane boom system （HCBS）. Two valve-controlled PI controllers, which include a proportion...A PI control strategy based on fuzzy set-point weighting following was proposed for the active damping control of a hydraulic crane boom system （HCBS）. Two valve-controlled PI controllers, which include a proportional feedforward controller based on fuzzy set-point weighting following and a limited semi-integrator（LSI）, are designed respectively. LSI is used to limit output signal and to prevent wind up at the low frequency of the spectrum. By using a range camera and an electronic feedback control, the tip damping on the HCBS can be adjusted artificially. A collaborative control simulation technique of HOPSAN and MATLAB/SIMULINK is applied to the controller design. Simulation results show that the proposed PI control system has less overshoot as well as faster response. The tip damping on the HCBS during operation is improved.展开更多
Remaining useful life (RUL) estimation is a topic that has gained more and more attention in the field of fluid power systems, thanks to the tremendous potentials shown for improving safety and reduced production loss...Remaining useful life (RUL) estimation is a topic that has gained more and more attention in the field of fluid power systems, thanks to the tremendous potentials shown for improving safety and reduced production losses. However, many challenges related to RUL estimation are not solved yet, mainly connected to the definition of the health status of each component. A prognostic method based on a data-driven methodology for hydraulic systems is here proposed to estimate the percentage of life already spent by the monitored components. The potentials of the methodology are shown considering the case of a truck-mounted hydraulic crane, for which a simulation model was available.展开更多
This article has the objective of presenting our method to develop and test a motion control system for a heavy-duty hydraulically actuated manipulator,which is part of a newly developed prototype featuring a fully-au...This article has the objective of presenting our method to develop and test a motion control system for a heavy-duty hydraulically actuated manipulator,which is part of a newly developed prototype featuring a fully-autonomous unmanned forestry machine.This control algorithm is based on functional analysis and differential algebra,under the concepts of a new type of approach known as model-free intelligent PID control(iPID).As it can be unsafe to test this form of control directly on real hardware,our main contribution is to introduce a framework for developing and testing control software.This framework incorporates a desktop-size mockup crane equipped with comparable hardware as the real one,which we design and manufactured using 3D-printing.This downscaled mechatronic system allows to safely test the implementation of control software in real-time hardware directly on our desks,prior to the actual testing on the real machine.The results demonstrate that this development framework is useful to safely test control software for heavy-duty systems,and it helped us present the first experiments with the world’s first unmanned forestry machine capable of performing fully autonomous forestry tasks.展开更多
基金This work was supported by the Natural Science Foundation of Hunan Province(No.04JJ6033) and Scientific Research Fund of Hunan ProvincialEducation Department(No. 03C066).
文摘A PI control strategy based on fuzzy set-point weighting following was proposed for the active damping control of a hydraulic crane boom system （HCBS）. Two valve-controlled PI controllers, which include a proportional feedforward controller based on fuzzy set-point weighting following and a limited semi-integrator（LSI）, are designed respectively. LSI is used to limit output signal and to prevent wind up at the low frequency of the spectrum. By using a range camera and an electronic feedback control, the tip damping on the HCBS can be adjusted artificially. A collaborative control simulation technique of HOPSAN and MATLAB/SIMULINK is applied to the controller design. Simulation results show that the proposed PI control system has less overshoot as well as faster response. The tip damping on the HCBS during operation is improved.
文摘Remaining useful life (RUL) estimation is a topic that has gained more and more attention in the field of fluid power systems, thanks to the tremendous potentials shown for improving safety and reduced production losses. However, many challenges related to RUL estimation are not solved yet, mainly connected to the definition of the health status of each component. A prognostic method based on a data-driven methodology for hydraulic systems is here proposed to estimate the percentage of life already spent by the monitored components. The potentials of the methodology are shown considering the case of a truck-mounted hydraulic crane, for which a simulation model was available.
文摘This article has the objective of presenting our method to develop and test a motion control system for a heavy-duty hydraulically actuated manipulator,which is part of a newly developed prototype featuring a fully-autonomous unmanned forestry machine.This control algorithm is based on functional analysis and differential algebra,under the concepts of a new type of approach known as model-free intelligent PID control(iPID).As it can be unsafe to test this form of control directly on real hardware,our main contribution is to introduce a framework for developing and testing control software.This framework incorporates a desktop-size mockup crane equipped with comparable hardware as the real one,which we design and manufactured using 3D-printing.This downscaled mechatronic system allows to safely test the implementation of control software in real-time hardware directly on our desks,prior to the actual testing on the real machine.The results demonstrate that this development framework is useful to safely test control software for heavy-duty systems,and it helped us present the first experiments with the world’s first unmanned forestry machine capable of performing fully autonomous forestry tasks.
