Intelligent wheelchair based on multiple constraint conditions and dynamic sharing control method and system

A technology of dynamic sharing and shared control, applied in control/regulation systems, non-electric variable control, two-dimensional position/channel control, etc. The effect of reducing fatigue

Pending Publication Date: 2021-07-13
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional shared control method uses extra switches to switch between different modes, which will cause unnecessary discontinuities in the driving process; estimate user intentions, select the most likely driving trajectory based on user input, and can only choose

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0051] Example 1:

[0052] Such as figure 1 As shown, this embodiment provides a smart wheelchair dynamic sharing control method based on multi-constrained conditions, including the following steps:

[0053] Step 1, based on the monitoring data acquired during the wheelchair operation, the integrated multifaceted conditions dynamically acquire the corresponding weight coefficient; multi-way constraints include the safety distance of the wheelchair, the fatigue of the user's neck muscle and the headrest Smoothing of the trajectory.

[0054] Step 1.1, obtain the shortest distance D of the current wheelchair is based on the monitoring data, dynamically update the security distance factor weight coefficient k d The expression is as follows:

[0055]

[0056] When the user controls the wheelchair is about to hit the obstacle, D is less than the shortest safety distance 0.2m, k d 0, the user hands over the control, the smart wheelchair autonomous avoidance. The farther the wheelchair is,

Example Embodiment

[0074] Example 2:

[0075] Such as figure 2 As shown, the implementation provides a smart wheelchair dynamic sharing control system based on multi-constraint conditions, including:

[0076] Autonomous navigation control unit for generating autonomous navigation control instructions;

[0077] User headrest control unit for generating headrest control instructions;

[0078] The human machine sharing control unit is used to generate a shared control instruction based on any of the multi-constraint-based intelligent wheelchair dynamic sharing control method based on any one of the multi-constrained conditions, and controls the wheelchair action by sharing control instructions based on any of the intelligent wheelchair dynamic sharing control methods based on multi-constrained conditions. .

Example Embodiment

[0079] Example 3:

[0080] Such as image 3 As shown, this implementation provides a smart wheelchair, including:

[0081] Wheelchair main structure and an accessory structure disposed in wheelchair main structures;

[0082] The accessory structure includes depth camera 1 and PC controller 2

[0083] The depth camera 1 is disposed in front of the user's head for acquiring the depth image of the user's head; the PC controller 2 acquires the user's head posture according to the depth image of the user's head, thereby generating a headrest control command;

[0084] The PC controller 2 is installed in front of the user, used to obtain the user's interaction command, thereby generating an automatic navigation control command;

[0085] The PC controller 2 generates a shared control instruction based on the above-described intelligent wheelchair dynamic sharing control method based on multi-constrained conditions based on the above-described intelligent wheelchair dynamic sharing control met

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PUM

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Abstract

The invention discloses an intelligent wheelchair based on multiple constraint conditions and a dynamic sharing control method and system, and the method comprises the steps: dynamically obtaining a corresponding weight coefficient based on monitoring data obtained in the operation process of the wheelchair through integrating multi-aspect constraint conditions; linearly combining the weight coefficients to obtain weight coefficients of the head posture control instruction and the autonomous navigation control instruction; determining a shared control instruction of the wheelchair according to the weight coefficients of the head posture control instruction and the autonomous navigation control instruction; performing dynamic sharing control on the wheelchair according to the sharing control instruction, wherein the multi-aspect constraint conditions comprise the safe distance between the wheelchair and the obstacle, the fatigue degree of the neck muscle of the user and the smoothness of the head posture control wheelchair track. Dynamic sharing control over the wheelchair can be achieved, the fatigue feeling of the user can be effectively reduced, the control right can be given to the user as much as possible, and the safety, comfort and continuity of driving the wheelchair by the user are improved.

Description

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Claims

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Application Information

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Owner NANJING UNIV OF POSTS & TELECOMM
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