The invention discloses a human-body-exercising-running-
machine self-adaption
active control method based on a CPG model. The human-body-exercising-running-
machine self-adaption
active control method includes the steps that surface electromyographic signals of the
lower limb rectus femoris and
biceps femoris muscles in a
gait cycle are collected in real time through an electromyographic collecting apparatus when the
human body moves on a running
machine, and the amplitude characteristics and the frequency characteristics are extracted; the amplitude characteristics and the frequency characteristics serve as the parameters to be substituted into the CPG model optimized by the
genetic algorithm, and a periodicity-human-body-lower-limb hip
joint angle curve is fitted; according to the periodicity-human-body-lower-limb hip
joint angle curve, the angle extreme value and the frequency are obtained and substituted into a relationship model to obtain a speed control command of the running machine, the speed control command of the running machine is sent to a driving module though a computer, and self-adaption
active control of the running machine is achieved. According to the human-body-exercising-running-machine self-adaption active control method based on the CPG model, the amplitude-frequency characteristics of the human-body lower-limb sEMG are extracted to serve as the parameters of the CPG model, the expected periodicity hip-joint
gait curve is obtained, the angle extreme value and the frequency are extracted, a speed command of the running machine is obtained through the relationship model, and self-machine self-adaption active control, and self-adaption active control of the running machine is achieved.