May 04, 2017 · As the advances in computer control technology keep emerging, robotic hydraulic excavator becomes imperative. It can improve excavation accuracy and greatly reduce the operator’s labor intensity. The 12-ton backhoe bucket excavator has been utilized in this research work where this type of excavator is commonly used in engineering work. The kinematics …
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Nov 03, 2021 · H. Feng et al., "Robotic excavator trajectory control using an improved GA based PID controller," Mechanical Systems and Signal Processing, vol. 105, pp. 153–168, May 2018.
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Request PDF | Robotic excavator motion control using a nonlinear proportional-integral controller and cross-coupled pre-compensation | For a robotic excavator, there is no operator in the cab
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In [17], an genetic algorithm (GA) is used to determine the PID gains for trajectory tracking control of robotic excavator. The presented scheme gave the good performances in comparison with some
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Excavator Trajectory control Genetic algorithm PID controller Parameter optimization abstract In order to achieve excellent trajectory tracking performances, an improved genetic algo-rithm (IGA) is presented to search for the optimal proportional-integral-derivative (PID) …
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This paper analyzes the experimental results of model-based and sensor-based control strategies for a two-link flexible, planar, robot arm. An off-line optimization determines a minimum time, straight line tip trajectory which stays within the torque constraints of the motors and ends in a quiescent state, i.e. no vibrational transients.
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Typically, this has to be performed using some optimization techniques irrespective of the modeling strategy. A good example is the use of trajectory optimization for the control of a soft robotic manipulator using a model-based (Marchese et al., 2016) and model-free method (Thuruthel et al., 2017). This process is time consuming and hence
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A study on Trajectory planning of hydraulic robotic excavator based on movement stability Proceedings of International Conference on Ubiquitous Robots and Ambient Intelligence August 2016 Xian, China 13 Kim Y. B. Ha J. Kang H. Dynamically optimal trajectories for earthmoving excavators Automation in Construction 2013 35 568 578 10.1016/j.autcon
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October 13, 2020. Published: January 20, 2021. Keywords: model predictive control, deviation correction control, vertical drilling, intelligent compensating method. Abstract. Flowchart of the compensation method. With the rapid development of control technology, increasing applications are using model predictive control (MPC) for deviation
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In order to achieve excellent trajectory tracking performances, an improved genetic algorithm (IGA) is presented to search for the optimal proportional-integral-derivative (PID) controller parameters for the robotic excavator. Firstly, the mathematical model of kinematic and electro-hydraulic proportional control system of the excavator are analyzed based on the mechanism modeling method. On
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Nov 03, 2021 · H. Feng et al., "Robotic excavator trajectory control using an improved GA based PID controller," Mechanical Systems and Signal Processing, vol. 105, pp. 153–168, May 2018.
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May 15, 2018 · An improved GA based PID is proposed for achieving excellent control performances. • The mathematical model of kinematic and electro-hydraulic proportional system are described. • System identification is carried out to identify the control system. • Premature convergence and stagnation in standard GA are solved. •
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Nov 12, 2021 · Aiming at the limitation of the traditional four-dimensional (4-D) trajectory-prediction model of unmanned aerial vehicles (UAV), a 4-D trajectory combined prediction model based on a genetic algorithm is proposed. Based on historical flight data and the UAV motion equation, the model is weighted dynamically by a genetic algorithm, which can predict UAV trajectory and the time of …
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Oct 30, 2018 · Tao, J. et al., " Genetic algorithm based homing trajectory planning of parafoil system with constraints," Zhongnan Y. Z., " Optimal trajectory planning for robotic manipulators using improved teaching-learning-based optimization algorithm," Ind "Trajectory planning and control of industrial robot manipulators," In
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Nov 02, 2021 · New robotics at Robins Air Force Base (AFB) in Houston County will improve productivity and better equip the military on future missions, said Representative Austin Scott (R-GA-08).Robins AFB personnel, Scott said in June, provide critical capabilities to counter America's adversaries in …
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Dec 09, 2015 · This paper proposes a hybrid improved quantum-behaved particle swarm optimization (LTQPSO) for autonomous mobile robot (AMR) trajectory planning in the environment with random obstacles. The algorithm combines the individual particle evolutionary rate and the swarm dispersion with natural selection method in particle evolution process. It is tested on several benchmark functions …
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Then, the trajectory planning for an upper limb exoskeleton is evaluated and improved based on the proposed model. The evaluation results show that there were obvious differences between the
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Research on Trajectory Planning and Autodig of Hydraulic Excavator. 37 Full PDFs related to this paper. READ PAPER. Research on Trajectory Planning and Autodig of Hydraulic Excavator. Download. Research on Trajectory Planning and Autodig of Hydraulic Excavator.
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This paper proposes an algorithm to design the path for automated excavator arm. The path designing is divided into two phases. Firstly, the fuzzy logic technique is used to determine the change of the path to adapt with the variation of the material after each digging period. Secondly, the B-spline algorithm is used to build the optimal trajectory.
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Jun 17, 2021 · Feng, H., et al.: Robotic excavator trajectory control using an improved GA based PID controller. Mech. Syst. Signal Process. 105, 153–168 (2018) Article Google Control of a heavy-duty robotic excavator using time delay control with integral sliding surface. Control Eng. Practice 10(7), 697–711 (2002) Article Google
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