The invention discloses an
exoskeleton manipulator control method which comprises the following steps: constructing a hand
biomechanical model, defining the degree of freedom of finger joints, and carrying out joint division modeling based on a drive kinetic equation of a
Bowden cable; deploying a high-density sensor on the hand; s3, a hand specificity Bouc-Wen model is improved, an inter-finger
coupling term is introduced to correct a
lag state equation, and micro-
lag parameters are identified through a hierarchical identification
algorithm; s4, designing a self-adaptive cooperative control strategy, realizing
fuzzy mapping from the electromyographic signals to the joint torque, and optimizing a cooperative
tracking error through a multi-joint parameter
coupling self-adaptive law; s5, dynamically compensating the
mechanical resistance of the hand by adopting the corrected double-
Kalman filter; and S6, optimizing closed-loop execution and a
security policy. According to the
exoskeleton manipulator control method, through the improved Bouc-Wen model and the self-adaptive cooperative control strategy, the mapping relation between the electromyographic
signal and the action of the
manipulator can be effectively processed, and the
exoskeleton manipulator control method adapts to different operation environments.