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The Active Above-Knee Prosthesis Gait Control Based on the EMPC

机译:基于EMPC的主动式膝上假肢步态控制

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On-line optimization control has been recognized as a superior algorithm for constrained systems. To deal with various disturbances and serious nonlinearity, active above-knee prosthesis (AKP) is treated as constrained switching system in this paper. The kinetic characters of AKP were analyzed when an amputee was walking on level-ground. A piecewise affine model can be built, and the AKP system was divided into 15 subsystems. Explicit model predictive control algorithm was applied to switch between subsystems. State-space partitions and explicit control laws are calculated off-line. On-line control signal can be obtained by looking up table. This algorithm can make the prosthesis to track the flexion curve of health limb accurately. Finally, results are shown that this method can tune the control impedance for powered knee prostheses with less energy consumption and high operation speed.
机译:在线优化控制已被认为是约束系统的一种高级算法。为了应对各种干扰和严重的非线性,本文将主动膝上假体(AKP)用作约束切换系统。当截肢者在水平地面上行走时,分析了AKP的动力学特征。可以建立分段仿射模型,并将AKP系统分为15个子系统。显式模型预测控制算法被应用于子系统之间的切换。状态空间分区和显式控制律是离线计算的。可以通过查表获得在线控制信号。该算法可以使假体准确地跟踪健康肢体的弯曲曲线。最后,结果表明,该方法可以以较低的能耗和较高的操作速度来调节电动膝关节假体的控制阻抗。

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