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

机译:基于EMPC的上膝关节假体步态控制

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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:在线优化控制已被识别为约束系统的卓越算法。为了处理各种扰动和严重的非线性,在本文中,活跃的上膝关节假体(AKP)被视为约束的开关系统。当截肢者行走在水平地上时,分析了AKP的动力学特征。可以构建分段仿射模型,AKP系统分为15个子系统。显式模型预测控制算法应用于在子系统之间切换。偏远地计算状态空间分区和明确的控制法。通过查找表可以获得在线控制信号。该算法可以使假体精确地跟踪健康肢体的屈曲曲线。最后,结果表明,该方法可以对能量消耗和高操作速度较小的动力膝关节假体进行动力膝关节假体的控制阻抗。

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