Trajectory Control of Electro Hydraulic Excavator using
Trajectory Control of Electro Hydraulic Excavator using Fuzzy Self Tuning Algorithm with Neural Network
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The structure of mini motion package (MMP). | Download
This paper presents the trajectory control of a 2DOF mini electro-hydraulic excavator by using fuzzy self tuning with neural network algorithm. First, the mathematical model is derived for the
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Trajectory Tracking Control of an Excavator Arm Using
Up to12%cash back · May 15, 2016 · Therefore, this paper deals with the problem of robust trajectory tracking control of an excavator bucket during digging. The optimal inverse kinematic solution is used to determine the joint angles, given in the base coordinate system. Kha, N.B., Jo, W.K.: Trajectory control of electro-hydraulic excavator using fuzzy self tuning algorithm
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Regulations for Emissions from Heavy Equipment | US EPA
Excavator Comparisons – Purchasing
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Interval Type-2 fuzzy position control of electro
May 01, 2012 · Li et al. developed in 2011 a fuzzy plus PI controller for an electro-hydraulic control system of an excavator mechanism. A soft-switch method for fuzzy rule base was adopted to achieve smooth switching. Although simulation exhibit good results, the model used in simulation was linear type .
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Research on Automatic Digging Control and Algorithm of the
Focus on the trajectory planning problem of shovel operations of skid steer loader, a trajectory curve fitting equation is established. By use of the robotics theory and the D-H method, the functional relationship between the kinematics of the working device of skid steer loader and the displacement, position and orientation of boom bucket cylinder is derived, and the driving equation of
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Shaking table control via real-time inversion of hydraulic
Apr 05, 2021 · Trajectory control of electro-hydraulic excavator using fuzzy self tuning algorithm with neural Tracking control of an electro-hydraulic shaking table system using a combined feedforward inverse model and adaptive inverse control for ISI. 20. Nakata, N . Acceleration trajectory tracking control for earthquake simulators. Eng Struct
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Diagram of 2DOF mini electro-hydraulic excavator
This paper presents the trajectory control of a 2DOF mini electro-hydraulic excavator by using fuzzy self tuning with neural network algorithm. First, the mathematical model is derived for the
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Research on automatic digging control and algorithm of the
Skid Steer Loader,Trajectory planning,Model of motion system,Electro-hydraulic proportional position control,Fuzzy self-tuning PID control,Simulation and analysis Mechanical, Materials and Manufacturing Engineering（ICMMME 2011 Part 3）
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(PDF) Guaranteed Control of a Robotic Excavator During
Trajectory control of electro- hydraulic excavator using fuzzy self tuning algorithm with neural network. Journal of Mechanical Science and Technology, vol. 23, No 1, pp. 149-160. Luengo O., et al., 1998. Modeling and identification of soil-tool interaction in automated excavation.
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COMPENSATION OF LOAD VARIATION USING FUZZY …
simulation results for trajectory tracking of the excavator base and arm[8]. Li et al. developed a fuzzy plus PI controller for an electro-hydraulic control system of an excavator mechanism. A soft-switch method for fuzzy rule base was adopted to achieve smooth switching. Although simulations exhibit good
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Self-Tuning Fuzzy Pid Controllers Application on
In this paper, Self Tuning Fuzzy PID controller is developed to improve theperformance of the electro-hydraulic actuator. The controller is designed based on the mathematical model of the system which is estimated by using System Identification technique.The model is performed in linear discrete model to obtain a discrete transfer function for the system.
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Research on automatic digging control and algorithm of the
Skid Steer Loader,Trajectory planning,Model of motion system,Electro-hydraulic proportional position control,Fuzzy self-tuning PID control,Simulation and analysis Mechanical, Materials and Manufacturing Engineering（ICMMME 2011 Part 3）
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The operation principles of the MMP system. | Download
This paper presents the trajectory control of a 2DOF mini electro-hydraulic excavator by using fuzzy self tuning with neural network algorithm. First, the mathematical model is derived for the
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Shaking table control via real-time inversion of hydraulic
Apr 05, 2021 · Trajectory control of electro-hydraulic excavator using fuzzy self tuning algorithm with neural Tracking control of an electro-hydraulic shaking table system using a combined feedforward inverse model and adaptive inverse control for ISI. 20. Nakata, N . Acceleration trajectory tracking control for earthquake simulators. Eng Struct
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Shaking table control via real-time inversion of hydraulic
Apr 05, 2021 · Trajectory control of electro-hydraulic excavator using fuzzy self tuning algorithm with neural Tracking control of an electro-hydraulic shaking table system using a combined feedforward inverse model and adaptive inverse control ISI. 20. Nakata, N . Acceleration trajectory tracking control for earthquake simulators. Eng Struct
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Mechanical Systems and Signal Processing
interval type-2 fuzzy logic controller on a robotic excavator. Hanh et al. [3] presented a trajectory control of a mini-excavator by using fuzzy self tuning with neural network algorithm. Chang et al. [4] designed a contour control algorithm which was effectively applied to leveling work with an excavator.
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Trajectory optimization of an electro-hydraulic robot
Oct 08, 2020 · The electro-hydraulic robot has great driving torque and plays an irreplaceable role in manufacturing. In this paper, a trajectory planning method for a 6-DOF electro-hydraulic robot based on time-energy-jerk is proposed and realized. A multi-objective function of the electro-hydraulic robot about working efficiency, impact, stability and energy consumption factors was built, at the same time
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High performance control of hydraulic excavator based on
Aiming at the hot topic of automatic control of hydraulic excavator, the electro-hydraulic control system of excavator mechanism is developed. According to the nonlinearity and uncertainty of the excavator mechanism control system, a fuzzy plus PI controller which combines the advantages of fuzzy logic and conventional PI control is developed, a fuzzy rule based soft-switch method is adopted
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Trajectory control of electro-hydraulic excavator using
The fuzzy PID and fuzzy self tuning with neural network are designed for circle trajectory following. Its two links are driven by an electric motor controlled pump system.
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