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Predictive control method of knee joint of active upper-knee prosthesis

A technology of predictive control and knee joints, applied in prosthesis, medical science, etc., can solve the problems of poor real-time performance, low timeliness, unfavorable active prostheses, etc.

Inactive Publication Date: 2016-09-07
HEBEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

All the above-mentioned control methods of the existing prosthetic knee joint motion realize the control process of "recognition of gait - giving the set control signal". This kind of control relying on the "set control signal" is an open loop , a system without a feedback mechanism, lacks automatic correction and compensation capabilities
The general closed-loop control algorithm involves online modeling and training problems, has low timeliness, and requires high computing performance of the processor. It relies on sacrificing the operating efficiency of the controller to obtain better control signals, and the real-time performance is poor. And it is not conducive to the battery life of active prosthetic products

Method used

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  • Predictive control method of knee joint of active upper-knee prosthesis
  • Predictive control method of knee joint of active upper-knee prosthesis
  • Predictive control method of knee joint of active upper-knee prosthesis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0126] The predictive control method of the knee joint of the active knee prosthesis, the steps are as follows:

[0127] The first step is to collect the basic information data of the required experimenters offline and generate a data report:

[0128] Using Vicon MX 3D gait analysis system including 6 high-speed MX infrared camera heads, MX components, PC host and MX peripheral kit, the left and right sides of the six lower limbs, namely knee joint, thigh, calf, ankle joint, toe and heel Paste 6 infrared reflective points, according to the infrared reflective points pasted on the above positions, input the basic information of the experimenter's height, weight, leg length, hip width, knee joint width and ankle joint width into the above-mentioned Vicon MX three-dimensional gait analysis In the system, the static model is initialized first, after the above basic information is collected, the missing marker points are filled in and the walking video is simulated in the software ...

Embodiment 2

[0154] Except that in the second step of establishing the segmented affine system model of the knee joint motion of the lower limb prosthesis, the two curves are divided into corresponding 27 segments, the others are the same as in the first embodiment.

Embodiment 3

[0156] Except that in the second step of establishing the segmented affine model of the knee joint motion of the lower limb prosthesis, the two curves are divided into corresponding 50 segments, the others are the same as in the first embodiment.

[0157] All the equipment used in the above examples are obtained from known channels.

[0158] The VICON MX three-dimensional gait analysis system described in the above-mentioned embodiment comprises sensor, signal acquisition equipment, data transmission equipment, data processing equipment four parts as follows:

[0159] a. The sensor part includes: a reflective ball 4 with a diameter of 14mm, used to mark the position of the moving point; a force measuring plate 3 with a size of 464×508mm, used for collecting mechanical information.

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Abstract

The invention discloses a predictive control method for knee joints of active above-knee prostheses, and relates to control on knee joints. The predictive control method includes steps of collecting required basic information data of experimenters in an offline manner and generating data reports; building modules of piecewise affine systems for knee joint movement of lower limb prostheses; convexly partitioning state regions of the systems according to control performance indexes to obtain control laws; controlling online control procedures of strategies. The predictive control method has the advantages that the models of the piecewise affine systems are built for the lower limb prostheses of human bodies, explicit model predictive controllers are created and can be used for carrying out closed-loop control on the prostheses, information can be exchanged between the controllers and external environments in real time, accordingly, the control precision can be improved, and the safety of products can be guaranteed; model building work and optimization problem solving programming procedures are carried out in offline procedures, only table lookup and simple computation need to be carried out during online control, accordingly, energy consumption of processors can be reduced, and the predictive control method is favorable for improving the endurance of the products.

Description

technical field [0001] The technical solution of the invention relates to the control of the knee joint, in particular to the predictive control method of the active knee prosthesis knee joint. Background technique [0002] Active above-the-knee prosthetics are a type of product that can provide knee joint assistance and track the healthy limb well for amputees above the knee joint. Its control performance not only affects the comfort experience of amputees, but also determines the safety of the product. performance. [0003] CN1088988C discloses a knee prosthesis, which can control the common gait through a microprocessor, and adjust the angle of the knee joint by directly inputting control signals; A simple way to determine the gait and pace through the Hall sensor and directly give the set control signal to control the walking of the prosthesis; CN 201010589305.2 and CN 103750927A both focus on the method of automatically training the expert knowledge base of the lower l...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61F2/68
Inventor 张燕张永昌宣博凯陈玲玲
Owner HEBEI UNIV OF TECH
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