The invention discloses a wheel-foot
humanoid robot operation control method and
system based on maneuverability optimization, and relates to the technical field of
robot intelligent control. According to a mechanical arm
tail end trajectory tracking task and mechanical arm joint motion constraints, a weight matrix is calculated in a self-adaptive mode through state vectors of a base and a mechanical arm joint; a
robot dynamic model is constructed, and the
tail end
contact force of the mechanical arm is estimated based on a
disturbance observer; the direction of the
control force is determined according to an
estimation result, and then force maneuverability enhancement is carried out; a speed instruction of an end
effector is obtained, the expected base speed and the expected mechanical arm joint speed are obtained through a weight matrix, a hierarchical control frame of a
model prediction controller and a whole-body controller is constructed based on an integrated dynamic model, the optimal wheel-leg interaction force
spinor and the optimal joint torque are obtained through solving, and the optimal wheel-leg interaction force
spinor and the optimal joint torque are obtained. Therefore, the whole-body
motion control of the
robot is driven. Through organic combination of disturbance compensation and force maneuverability optimization, the motion stability and operation efficiency of the robot are enhanced.