the common brake system for the electric powered wheelchair (EPW) is the mechanical brake system. Although the mechanical brake system is compact, the brake performance is depending on the user's hand grip. During...
详细信息
ISBN:
(纸本)9781728100647
the common brake system for the electric powered wheelchair (EPW) is the mechanical brake system. Although the mechanical brake system is compact, the brake performance is depending on the user's hand grip. During descending on the slope, due to the gravitational force, the possibility of EPW to accelerate is high. In this study, by using the plugging brake system strategy, the hill descend control is proposed to controlthe speed of EPW. the plugging brake system will maintain the speed of EPW same as the desired speed that set by the user. In this plugging brake control system, the PID control is applied to minimize the error between the actual and desired speed. the experiment is performed on the slope based on the requirement from the American Disability Act (ADA) with maximum angle of Si degrees and the slope length is 5.4 m. From the experimental results, the speed of EPW is maintaining at the desired speed during descending on the slope. these results prove the plugging brake control system is suitable for hill descend control.
In recent years, shape memory alloys (SMAs) have been used widely as actuators in modern systems but it can also be used as sensor since it offers unique self-sensing property. Shape memory alloys exhibit parameter va...
详细信息
作者:
Li, BaiZhang, YouminJD Inc
R&D Ctr Automated Driving Beijing 100176 Peoples R China Concordia Univ
Concordia Inst Aerosp Design & Innovat Dept Mech Ind & Aerosp Engn Montreal PQ Canada
this paper proposes a unified and fast trajectory planning method for an autonomous vehicle with avoidance of static obstacles in the off-road scenarios. Nominally, an optimal control problem should be used to cover g...
详细信息
ISBN:
(纸本)9781728100647
this paper proposes a unified and fast trajectory planning method for an autonomous vehicle with avoidance of static obstacles in the off-road scenarios. Nominally, an optimal control problem should be used to cover generic off-road planning cases. however, the scale of the formulated optimal control problem is intractable, because the ego vehicle has to avoid collision with every obstacle at every moment. To address this issue, we aim to discard the redundant collision-avoidance constraints, because the vehicle may not really have chances to collide with all of the obstacles at every moment. Concretely, withthe help of a reference trajectory derived by hybrid A* algorithm, we develop a spatiotemporal tunnel-based strategy such that the ego vehicle is restricted to move within a sequence of tunnels during different periods of the entire dynamic process. through this, the collision-avoidance constraints are replaced by the within-tunnel constraints, thereby making the scale of the optimal control problem completely irrelevant to the complexity of the environment.
As part of our research into the implementation of the principles of the Industrial Revolution 4.0, a task aimed at automating the quality control process of manufactured semifinished products. the task was complicate...
详细信息
A global neural learning tracking control for robot manipulators to guarantee the transient performance and finite time convergence is investigated. the paper develops some auxiliary filtered variables and a nonsingul...
详细信息
ISBN:
(纸本)9781728100647
A global neural learning tracking control for robot manipulators to guarantee the transient performance and finite time convergence is investigated. the paper develops some auxiliary filtered variables and a nonsingular terminal slide mode (NTSM) surface to guarantee the tracking error converging to zero with finite time. An error transformation function is also introduced to deduce the control law, which ensure that the transient tracking error never violate the predefined boundedness. Furthermore, under the persistent excitation (PE) condition, the weights of neural networks (NNs) will converge to optimal values with finite time, which can be reused to decrease the computational cost. Compared experimental results are carried out to verify the superior performance of our controller.
this paper introduces new strategy for motion control of two spinning magnetic agents based on the magnetic-fluidic interactions. the approach relies on balance between magnetic attraction and hydrodynamic repulsion f...
详细信息
ISBN:
(纸本)9781728109480;9781728109497
this paper introduces new strategy for motion control of two spinning magnetic agents based on the magnetic-fluidic interactions. the approach relies on balance between magnetic attraction and hydrodynamic repulsion forces created by fluidic vortices around pairs of microagents, which allows the control on inter-agent pair heading and spacing. the proposed method only requires a single global input, i.e., frequency of the rotating magnetic field along with a small magnetic field gradient, to controlthe motion of two microagents and therefore is simple to implement. Detailed finite element analysis is performed to explore the system behaviour. Finally, as experimental demonstration, two microagents are maneuvered by a global magnetic field to be independently positioned in the plane of motion with average root mean square errors of 140 micrometers and 5.68 degrees in separation and pair heading angle states, respectively.
With invent of technological platforms the robotic has become essential part of our life. the Brain Computer Interface (BCI) is the heart of human brain based robotic control systems. EEG signal based robotic motion c...
详细信息
this paper reviews the research on upper limb exoskeleton for hemiplegia rehabilitation. Under the condition of rehabilitation training for mild patients in the workspace of 7-DOF exoskeleton with uncertain trajectory...
详细信息
this paper reviews the research on upper limb exoskeleton for hemiplegia rehabilitation. Under the condition of rehabilitation training for mild patients in the workspace of 7-DOF exoskeleton with uncertain trajectory, a control algorithm used for motion detection is carried. In this algorithm, the patient's operation can be detected by real-time data collected by F/T (Force/Torque) sensors and encoders, so that quantitative assistance will be supplied by exoskeleton according to the patient's motion intention. Finally, the joint simulation of ADAMS and MATLAB proves the accuracy of trajectory tracking and the feasibility of the control strategy is verified by the experiment on 3-DOF translational manipulator platform.
In this paper, an Adaptive Backstepping Neural Network control approach is used for a class of affine nonlinear systems which describe the pump model in the strict feedback form. the close loop signals are semi global...
详细信息
this work develops a novel robot teleoperation system based on mixed reality. Combined with Leap Motion and HoloLens, the system is able to offer a better operate experience by allowing the operator to teleoperate a r...
详细信息
ISBN:
(纸本)9781728100647
this work develops a novel robot teleoperation system based on mixed reality. Combined with Leap Motion and HoloLens, the system is able to offer a better operate experience by allowing the operator to teleoperate a robot within a mixed reality scene. Besides, we also design a simple writing task in this paper, which verifies the proposed system's validity.
暂无评论