Abstract This paper describes a new technique in assisting indoor rowing exercise for paraplegics. It combines functional electrical stimulation with an energy storage element. A spring is introduced as an energy stor...
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Abstract This paper describes a new technique in assisting indoor rowing exercise for paraplegics. It combines functional electrical stimulation with an energy storage element. A spring is introduced as an energy storage element that stores energy during the driving phase and transfers energy during recovery phase of rowing stroke. The technique is implemented with a dynamic simulation model. Fuzzy logic control is used to control the knee and elbow trajectories for smooth rowing manoeuvre. The generated level of electrical stimulation for activation of quadriceps and hamstrings muscles are recorded and analysed. In view of good results obtained, it is concluded that the new technique of rowing exercise for paraplegics using spring orthosis with proper rowing manoeuvre significantly contributes to assisting paraplegic indoor rowing exercise.
This paper considers the task of path planning for articulated robots such that the end effector is driven optimally between two points in the workspace while collision with dynamic obstacles is avoided. Compared to p...
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This paper considers the task of path planning for articulated robots such that the end effector is driven optimally between two points in the workspace while collision with dynamic obstacles is avoided. Compared to path planning in the configuration space, approaches in the workspace save the computationally expensive step of mapping obstacles from the workspace into the configuration space. The method presented here builds on a problem formulation as a mixed-integer program considering time-varying constraints resulting from moving obstacles, as well as state and input constraints depending on the region of the work space. The method is applied to a two-link robot with static and moving obstacles and is evaluated for different situations.
This paper presents a new interface framework which has been added to Easy Java Simualtions' environment in order to improve its graphical features for 3D modeling. These new 3D capabilities provide users a set of...
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ISBN:
(纸本)9783902661562
This paper presents a new interface framework which has been added to Easy Java Simualtions' environment in order to improve its graphical features for 3D modeling. These new 3D capabilities provide users a set of new view elements which can be used to develop models with a high degree of reality. In this way, Easy Java Simulations becomes a powerful tool to easily and quickly create 3D realistic simulations.
The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, a robust control for variable speed wind power generation that incorporates a doubly f...
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The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, a robust control for variable speed wind power generation that incorporates a doubly feed induction generator is described. The electrical systems incorporates a wound rotor induction machine with back-to-back three phase power converter bridges between its rotor and the grid. In the presented design it is applied the so called vector control theory. The proposed control scheme uses stator flux-oriented control for the rotor side converter bridge control and grid voltage vector control. The proposed robust control law is based on a sliding mode control theory, that, as it is well known, presents a good performance under system uncertainties. The stability analysis of the proposed controller under disturbances and parameter uncertainties is provided using the Lyapunov stability theory. Finally simulated results show, on the one hand that the proposed controller provides high-performance dynamic characteristics, and on the other hand that this scheme is robust with respect to the uncertainties that usually appear in the real systems.
This paper presents a speed control of an induction motor. The design uses an feedforward Artificial Neural Network (ANN) to implement a rotor speed estimator, and a robust control strategy based on the sliding-mode. ...
This paper presents a speed control of an induction motor. The design uses an feedforward Artificial Neural Network (ANN) to implement a rotor speed estimator, and a robust control strategy based on the sliding-mode. The proposed control scheme also make use of the field oriented control theory to simplify the proposed control design. The stability analysis of the presented control scheme is provided using the Lyapunov stability theory. Finally simulated results show that the presented controller with the proposed observer provides high-performance dynamic characteristics and that this scheme is robust with respect to plant parameter variations and external load disturbances.
An approach for the safety assessment of planned trajectories of autonomous vehicles is presented. Due to the unsafe nature of road traffic, the proposed safety assessment is performed in a probabilistic setting, wher...
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ISBN:
(纸本)9781424435036
An approach for the safety assessment of planned trajectories of autonomous vehicles is presented. Due to the unsafe nature of road traffic, the proposed safety assessment is performed in a probabilistic setting, where the probability distributions of possible future positions of traffic participants are computed based on dynamic models. The underlying algorithms have to be efficient as they need to provide a safety level of the currently planned path while the vehicle is in operation. In order to achieve the necessary efficiency of computation, the dynamics of traffic participants is abstracted into Markov-chains. The approach considers vehicle dynamics, interaction between traffic participants, and lane changes in multi-lane traffic.
The task of motion planning for robotic manipulators means to drive an end-effector between designated points in the work area while obstacles are not hit. This contribution investigates the case of dynamic obstacles ...
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The task of motion planning for robotic manipulators means to drive an end-effector between designated points in the work area while obstacles are not hit. This contribution investigates the case of dynamic obstacles (like human operators) and the consideration of a performance criterion to be maximized for the motion. The proposed approach maps the dynamics of the manipulator and the obstacles into the C times T-space (spanned by the configuration C and the time T). Within this space, an (sub-)optimal sequence of configurations in the collision-free subspace is determined by mixed-integer linear programming. To achieve sufficient computational efficiency, the optimization task is approached by employing the principles of model predictive control. The paper describes the approach based on the example of a two-link robot interacting with a human operator.
A subspace based approach for the blind identification/equalization of nonlinear Single Input Multiple Output (SIMO) time-invariant channels is presented in this paper. The considered models include, but are not limit...
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Victim search with swarm robots on gas outburst spot in coal mines is investigated. Upon modeling swarm robotic system with extended particle swarm optimization, heterogeneous signals are fused by each robot independe...
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A subspace based approach for the blind identification/equalization of nonlinear Single Input Multiple Output (SIMO) time-invariant channels is presented in this paper. The considered models include, but are not limit...
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A subspace based approach for the blind identification/equalization of nonlinear Single Input Multiple Output (SIMO) time-invariant channels is presented in this paper. The considered models include, but are not limited to, polynomial approximations of nonlinear channels (i.e., Volterra models), which have been used to represent satellite communications, magnetic recording channels, and physiological processes, among other applications. The channel parameters are estimated in closed form, up to a scalar factor, by computing the column space of the output Hankel matrix, via a Singular Value Decomposition (SVD), and then solving a Least Squares (LS) estimation problem also resorting to an SVD. Numerical simulations are used to illustrate the performance of the proposed algorithms.
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