Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

628 results about "Torque controller" patented technology

The Torque Control System is a plug and play, closed loop, CNC, measure and control system. The system is composed of an AC -Servomotor with integrated overload-protected torque transducer. This allows to link the NC-controlled rotary-motion with monitoring of the torque / angel of rotation process.

Upper limb exoskeleton rehabilitation robot control method based on radial basis neural network

The invention discloses an upper limb exoskeleton rehabilitation robot control method based on a radial basis neural network. The method includes the steps that a human body upper limb musculoskeletal model is established; upper limb muscle myoelectric signals and upper limb movement data are collected, the movement data are imported into the upper limb musculoskeletal model, upper limb joint torque is obtained, the radial basis neural network is established and a neural network model is given out; the patient movement intention is recognized, the joint angular speed is subjected to fusion analysis, the result is used for recognizing the training object joint stretching state, and the limb movement intention is determined; and myoelectric signals and joint angles in affected side rehabilitation training are collected in real time, affected side joint torque is obtained through the neural network, joint torque needing to be compensated by an exoskeleton mechanical arm is calculated, myoelectric signal fatigue characteristics are analyzed, the compensation torque magnitude can be adjusted by classifying the degree of fatigue, and a torque controller can be controlled to achieve the effect that an upper limb rehabilitation robot assists patients in rehabilitation training by combining the movement intention. By means of the upper limb exoskeleton rehabilitation robot control method, the rehabilitation training process is made to be more suitable for the patients, man-machine interaction is strengthened, and the rehabilitation effect is improved.
Owner:YANSHAN UNIV

Automatic regulating apparatus for controller parameters of servo driver of motor and method thereof

The invention discloses an automatic regulating apparatus for controller parameters of a servo driver of a motor and a method thereof. The apparatus comprises an inertia identifier, a parameter initial regulator, a parameter checker, a parameter optimizer, a parameter saving and displaying device, a speed controller, a position controller, a torque controller, a PWM (Pulse-Width Modulation) generator and a coded disc. In the invention, the servo driver of an alternating current permanent magnet motor automatically configures the parameters of the position controller and the speed controller according to different rotary inertias of mechanic load, checks and further optimizes the automatically configured parameters through the parameter checker and the parameter optimizer so that the position response and the speed response of the servo driver are relatively optimal. The servo driver of the alternating current permanent magnet synchronous motor automatically regulates the control parameters according to work occasions and achieves ideal control effect. The whole process is manual participation free and completed fully by the servo motor of the alternating current permanent magnet synchronous motor.
Owner:上海新时达线缆科技有限公司 +2

Indoor vehicle ABS test-bed with variable adhesion coefficient

The invention discloses a vehicle ABS test bed with changeable attachment coefficient and comprises a front and a back shaft frames, a front and a back fly wheel shafts, a transmission box and a telescopic transmission shaft; the front and the back shaft frames are respectively and symmetrically provided with a front left wheel, a front right wheel, a back left wheel and a back right wheel roller group and the front left wheel, the front right wheel, the back left wheel and the back right wheel roller group are totally uniform; each roller group is respectively connected with the output end of a torque controller through a transmission belt in correspondence and the input end of the torque controller is respectively and rigidly connected with the front and the back fly wheel shafts; the front and the back fly wheel shafts are connected with the telescopic transmission shaft through the transmission box to realize mutual synchronization; each fly wheel shaft is rigidly and symmetrically provided with two fly wheels with same turning inertia; the braking force of the wheel of the measured vehicle can be changed by controlling magnetizing current of the torque controller when the wheel is in lock braking and then the attachment coefficient of the road can be simulated. The invention can be widely applied in vehicle examination, ABS research and development, vehicle maintenance and service industry.
Owner:CHANGAN UNIV

Unmanned surface vehicle trajectory tracking control device and method based on nonlinear control theory

The invention provides an under-actuated unmanned surface vehicle self-adaptive trajectory tracking control device and method. The device comprises a reference path generator, a state sensor, a differential converter, a parameter estimator, a virtual controller and a longitudinal thrust and bow steering torque controller. According to the unmanned surface vehicle actual position and course angle collected by the state sensor (2) and the reference position and reference course angle information generated by the reference path generator (1), the new state variable is obtained through the differential converter (5), the new state variable and the speed and angle speed information collected by a sensor (4) are transmitted to the parameter estimator (8) and the longitudinal thrust and bow steering torque controller (12), a control instruction is obtained through calculation to drive an execution mechanism, and the longitudinal thrust and bow steering torque of an unmanned surface vehicle are adjusted. According to the device and method, the unmanned surface vehicle can reach the specific position within specific time at specific speed. Due to the under-actuated unmanned surface vehicle, energy consumption and manufacturing cost of a system can be lowered, and the weight of the system is reduced.
Owner:精海智能装备有限公司

Adaptive terminal sliding-mode controller based mechanical arm trajectory tracking control method

The invention discloses an adaptive terminal sliding-mode controller based mechanical arm trajectory tracking control method. The method includes the following steps: 1, establishing a rigid mechanical arm system dynamics model having n degrees of freedom rotating joints; 2, obtaining the measuring information of each joint angle q and angular velocity which is shown in the description of a mechanical arm through a photoelectric encoder, setting the expected angle q<d> and expected angular velocity which is shown in the description tracked by each joint, and calculating mechanical arm trajectory tracking errors [epsilon]1 = q - q<d> and the first derivative shown in the description of trajectory tracking error versus time; 3, establishing a novel non-singular terminal sliding-mode surface s according to the [epsilon]1 and [epsilon]2; and 4, designing the controlling moment tau of the driving motor of each joint of the mechanical arm according to the sliding-mode surface s, and establishing an adaptive rate which can adjust control gain to dynamically estimate system lumped disturbance upper bound. Under the circumstance that internal and external interference such as parameter perturbation and torque disturbance existing in the mechanical arm system, the method can perform real-time feedback so as to realize the accurate controlling of mechanical arm trajectory tracking based on the measuring information of each joint angle and angular velocity, and the controlling on the robustness of the whole course can be guaranteed.
Owner:SOUTHEAST UNIV

Permanent-magnet synchronous motor torque control system and method based on a sliding-mode observer and auto-disturbance rejection control

The invention discloses a permanent-magnet synchronous motor torque control system and method based on sliding-mode observer and auto-disturbance rejection control, so that the torque of the permanent-magnet synchronous motor is controlled rapidly and precisely. A minimal-order extended flux-linkage sliding-mode observer is designed; an auto-disturbance rejection current controller is designed; difference processing is carried out on an electromagnetic torque outputted by an observer and a given torque signal outputted by an upper computer and the difference is inputted into a PI controller; a q-axis current signal outputted by the PI controller and dq-axis flux-linkage component outputted by the observer are inputted into the auto-disturbance rejection current controller to form a torque closed loop. According to the permanent-magnet synchronous motor torque control system and method, the dynamic response of the output torque of the motor is accelerated and no overshoot phenomenon is avoided. Moreover, on the basis of combination of the sliding-mode observer and the auto-disturbance rejection controller, the reliability and robustness of the torque control of the permanent-magnet synchronous motor are enhanced. The permanent-magnet synchronous motor torque control system and method are applied to occasions with the permanent-magnet synchronous motor as a driving system.
Owner:HUNAN UNIV OF TECH

Velocity compensation control for electric steering systems

Disclosed herein is a method as well as a system for controlling an electric power steering system. The method includes: receiving a torque signal from a torque sensor responsive to a torque applied to a steering wheel; obtaining a motor velocity signal, the motor velocity signal indicative of a speed of an electric motor which applies torque to a steerable wheel; and generating a command for said electric motor with a controller coupled to the torque sensor, and the electric motor. The command includes torque control and motor velocity compensation, responsive to at least one of the torque signal, and a motor velocity signal. Also disclosed herein is a storage medium encoded with a computer program code for controlling an electric power steering system, the storage medium includes instructions for causing controller to implement the disclosed method. Further disclosed is a computer data signal for controlling an electric power steering system, the data signal comprising code configured to cause a controller to implement the disclosed method. Additionally, a method for optimizing controlling torque in an electric power steering system is disclosed. The method including: receiving a torque signal responsive to a torque applied to a steering wheel; obtaining a motor velocity; generating a command with a controller for the electric motor, where the command includes a torque control and motor velocity compensation, responsive to the torque signal, and the motor velocity. The performance of the torque control is responsive to a torque compensator, a high pass low pass structure, and motor velocity compensation.
Owner:GM GLOBAL TECH OPERATIONS LLC +1

Stability control method for four-wheel independent driving electric automobile based on Q-learning

The invention discloses a stability control method for a four-wheel independent driving electric automobile based on Q-learning. The control method comprises the following steps of selecting corresponding optimal control parameters based on actual external conditions, and calculating and obtaining an ideal control torque by utilizing the parameters; calculating slip form control parameters K of a yaw torque controller under different external conditions, and storing different external conditions and the slip form control parameters K which are in the yaw torque controller and correspond to the different external conditions, to a stability control system; and reasonably distributing the calculated ideal control torque to four wheels. According to the stability control method disclosed by the invention, the control parameters required by online calculation are found by the Q-learning manner, and stored to the yaw torque controller, so that during working, the yaw torque controller of the four-wheel independent driving electric automobile can directly call the control parameters in a manner of table look-up, the calculating time is greatly shortened, and the real-time capability, the robust ability and the practicability of the stability control system of the four-wheel independent driving electric automobile are improved.
Owner:DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products