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864 results about "Impedance control" patented technology

Impedance control is an approach to dynamic control relating force and position. It is often used in applications where a manipulator interacts with its environment and the force position relation is of concern. Examples of such applications include humans interacting with robots, where the force produced by the human relates to how fast the robot should move/stop.

Impedance control using fuses

A system and method for reducing impedance loading of semiconductor integrated circuit devices implementing protective device structures that contributes to impedance loading at an I/O pad connection. The method comprises providing a fuse device between the I/O pad connection and the protective device; connecting a current source device associated with each fuse device in the integrated circuit, the current source device connected to one end of the fuse device; providing fuse selection circuit for activating current flow through a selected fuse device between the current source and the I/O connection, the current flow being of an amount sufficient for blowing the fuse and disconnecting the protective device from the circuit structure, thereby reducing impedance loading at the I/O connection. Such a system and method is employed in a memory system comprising integrated circuit chips disposed in a stacked relation, with each chip including: a layer of active circuitry formed at a first layer of each chip; a plurality of through conducting structures disposed substantially vertically through each chip for enabling electronic connection with active circuitry at the first layer; second conducting device disposed at an end of the through conducting structure at an opposite side of a chip for connection with a corresponding through conductive structure of an adjacent stacked chip, the stacked chip structure formed by aligning one or more through conducting structures and second conducting devices of adjacent chips, whereby a chip of the stack is electronically connected to active circuitry formed on other chips of the stack. The stacked chip structure is ideal for reducing data access latency in memory systems employing memory chips such as DRAM.
Owner:MARVELL ASIA PTE LTD

Motion control method of lower limb rehabilitative robot

The invention relates to a motion control method of a lower limb rehabilitative robot. In the method, aiming at different rehabilitation stages of a patient, two working modes of passive training and active training are carried out: under the mode of passive training, the patient is driven by controlling the robot to finish specific motions or motion according to a right physiological gait track; abnormal motions of the patient are completely restrained; and the patient passively follows the robot to do walking rehabilitation training; under the mode of active training, limited abnormal motions of the patient are restrained by the robot; through a real-time detection on joint driving forces generated when the patient acts on the robot in the motion process, human-computer interaction moment is extracted by utilizing an inverse dynamic model to judge the active motion intention of lower limbs of the patient; and the interaction moment is converted into correction value of gait track by utilizing an impedance controller to directly correct or generate the gait training track the patient expects through an adaptive controller, therefore, the purpose that the robot can provide auxiliary force and resistant force for the rehabilitation training can be indirectly realized. By means of the motion control method of the lower limb rehabilitative robot, rehabilitation training motions suitable for different rehabilitation stages can be provided for a dysbasia patient, thereby enhancing active participation degree of the rehabilitation training of the patient, building confidence of the rehabilitation and positivity of the motion, and then enhancing effect of the rehabilitation training.
Owner:SHANGHAI UNIV

Variable-impedance lower limb rehabilitation robot control method based on brain muscle information

The invention discloses a variable-impedance lower limb rehabilitation robot control method based on brain muscle information. The method includes: collecting electroencephalogram and surface electromyogram signals of a patient in real time through an electroencephalogram and surface electromyogram signal collector, and monitoring and evaluating rehabilitation degree of the patient; adopting different rehabilitation training strategies; when the rehabilitation degree is low, implementing passive training control, adopting a PD position servo control method, and controlling a lower limb rehabilitation device to enable the patient to move with a correct physiological gait track; when the rehabilitation degree is high, adopting an active control mode, and predicting a movement intention of the patient by extracting feature vectors of electroencephalogram signals and surface electromyogram signals of the patient in real time; using a fuzzy neutral network algorithm to integrate the electroencephalogram signals and the surface electromyogram signals to generate a movement gait track curve expected by the patient in real time; utilizing a variable-impedance control method to realize active, realtime and synergistic control of a lower limb rehabilitation robot man-machine system.
Owner:XI AN JIAOTONG UNIV

Control method of man machine interaction mechanical arm

The invention provides a control method of a human-machine interaction mechanical arm, which relates to a safe control method of a mechanical arm working under an unknown environment and solves the problem that an operator accidentally injured due to failure of the existing mechanical arm to accurately model the working environment when the mechanical arm works in close contact with the operator. A mechanical arm controller of the invention collects a joint position in a real time manner by a joint sensor and transforms the joint position q to a Descartes position x by the positive kinematics, and calculates the real-time trajectory planning xpg which is provided with a feedback of the Descartes force; the mechanical arm controller also collects the torque Tau by the joint sensor in a real time manner, calculates the expected torque Taur by Descartes impedance control, and calculates the input torque Taum of the mechanical arm joint by the dynamic compensation of a motor. The control method can effectively detect the force from each joint of the mechanical arm; when contacting an object, the mechanical arm can carry out a soft contact; when a collision happens, the mechanical arm can ensure that the contact force from each direction is within the range of the expected force, thus ensuring the safety of the mechanical arm and the operator.
Owner:HARBIN INST OF TECH
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