41 results about "Central pattern generator" patented technology

The invention relates to a method for constructing central pattern generator (CPG) control network topology structure of biped robot. The method comprises the steps of separating a CPG control network into a body network portion for controlling hip joints and a leg network portion for controlling leg joints to achieve symmetry of control signals for left and right leg joints and control over reasonable phase relations of left and right legs; optimizing coupling connection modes among neuron units in the CPG control network to reduce the complexity of the CPG control network; and performing parameters setting on the CPG control network to construct an optimal network topology structure. Compared with the prior art, the method has the advantages of being low in complexity, reasonable in control network structure and the like.

The invention discloses a backward swimming control method of a biomimetic carangiform robot fish, based on a CPG (Central Pattern Generator) to control the robot fish to swim. The backward swimming control method comprises the following steps: firstly, building a CPG chain type network topology according to the characteristics of fish swimming to reduce a CPG parameter number and reduce the complexity of a model; secondly, by reasonably regulating parameters of the CPG model, enabling an output signal of the CPG model to satisfy the following condition, in a direction from the head to the tail of the robot fish, phases of the control signal of a steering engine of the robot fish sequentially lag, and amplitudes are sequentially reduced, so that backward propelling force is produced, and backward swimming of the robot fish is realized. The backward swimming control method has the promotion action in deeply understanding a backward swimming motion mechanism of fishes and also provides guidance for enriching motion modals of underwater robots and improving the maneuvering ability of the underwater robots.

The invention discloses an implementation method for the rapid great pitch angle change motion of a pectoral fin paddling type robotic fish, which includes the following steps: (Step 1) a rapid pitch kinematics model is created; (Step 2) a phase oscillator model with the characteristic of time and spatial asymmetry is created; (Step 3) a CPG (Central Pattern Generator) control network structure is created; (Step 4) a rapid pitch motion control system is created. The implementation method adopts multi-drive coordinated pectoral fin and tail motion, the robotic fish can generate pitch moment far greater than moment generated by the deflection of a swimming bladder or a single tail fin by means of the kinetic characteristic of spatial and time asymmetry, consequently, the implementation method can realize the rapid pitch (pitch angle change is greater than 60 degrees) motion of the pectoral fin paddling type robotic fish, and the obstacle-crossing and obstacle-avoiding ability of the robotic fish facing vertical wall type obstacles underwater is greatly enhanced.

This invention relates to one robot with easy module, which comprises match module, central mode generator in steering control formula, wherein, the match module comprises left and right bottom boards, steering machine and its supportive ear slices, steer rotation output slice, outer slice and inside supportive ear slices; steer machine one side rotation axis is fixed with rotation disc; the steer machine supportive ear slices and outer slices are connected to right bottom board; the outer supportive ear slice is connected to right bottom board; the steering machine rotation outputs ear slices, outer supportive ear slices and left bottom board.

The invention relates to a method for controlling motion of a bionic long-fin undulatory propeller. The method comprises the following steps: aiming at different motion modes of the long-fin undulatory propeller, setting a corresponding control parameter and an initial value; iteratively solving a differential equation of a central pattern generator model by utilizing an Euler method according to the input control parameter and the initial value; calculating a swinging angle of each fin on the long-fin undulatory propeller by utilizing an output amplitude value of the central pattern generator model in the iterative calculation process; and converting the swinging angle into the control quantity of a steering engine for coordinating and controlling a plurality of steering engines on the long-fin undulatory propeller through a pulse width modulation wave generator to enable the long-fin undulatory propeller to generate undulatory motion with stable and continuous rhythm and realize forward, backward, emergent stop, turning and rapid startup. The method is simple, reliable and easy to realize, has small calculation quantity and can meet the real-time requirement of coordinating and controlling a plurality of circuits of the steering engines of the long-fine undulatory propeller.

The invention discloses a central mode generator-based quadruped robot gait planning method. The method comprises the following steps: B1, reference oscillation signals are adjusted correspondingly inview of a different joint, the attitude angle, the angular velocity and the position of the trunk during the movement process of the quadruped robot are measured, and feedback signals are generated accordingly; according to the oscillation signals and the feedback signals after adjustment, control signals of each joint are outputted; the control signals of a side-swing joint contain the oscillation signals; control signals for a hip joint pair in swing and standing phases are different, control signals for a knee joint in the standing phase are adjusted, and thus, the angle of the knee jointis thus adjusted; and B2, the control signals control the quadruped robot to perform diagonal gaits, that is, a left foreleg and a right rear leg move together, and a right foreleg and a left rear legmove together. Different joints are adjusted differently, the pitch angle and the roll angle when the quadruped robot moves are reduced, and the stability of the quadruped robot during the motion process is improved.

The invention discloses a multi-industrial-manipulator controller based on a double-layer CPG (central pattern generator). A structure similar to a layered neural network, which the ganglion controlling activities of invertebrates has and which a central nervous system controlling activities of vertebrates has, is adopted, features of a multi-industrial-manipulator control system and those of a single industrial manipulator are combined, and collective coordination and information interaction of multiple industrial manipulators are efficiently synergic. Flexible joints and a rich sensor system are adopted, information utilization rate of the multiple industrial manipulators is increased, and the joints of the industrial manipulators are effectively controlled, so that the system has high reliability and stability. The sensor system has the ability of autokinetic movement while the industrial-manipulator is enabled to have sufficient dynamic performance and degree of freedom. The multi-industrial-manipulator controller is composed of a phase coordination layer and a motion pattern generation layer; the phase coordination layer allows phase sequence locking for each industrial manipulator; the motion pattern generation layer allows trajectory planning and attitude adjustment for each industrial manipulator.

The invention discloses construction of a propulsion motion control equation of a bionic undulatory fin and a parameter setting optimization method thereof, wherein an improved particle swarm algorithm is used for setting and optimizing parameters of the propulsion motion control equation of the bionic undulatory fin based on a central pattern generator. The motion control equation based on the central pattern generator can generate various rhythm signals with variable phase difference, frequency and amplitude, can resist the influence of sudden change of control parameters on the continuity of output signals, and can realize flexible transition of a bionic undulatory fin underwater robot under the switching of different swimming modes; and a method of CPG parameter setting optimization based on the improved particle swarm algorithm by taking a kinematic equation of a simplified ruled surface of a wave motion of a bionic object black ghost fish as a reference is proposed,. An inertia factor of the particle swarm algorithm is improved, and decreases linearly with the iteration of the algorithm, the accuracy of CPG parameter setting optimization is improved, and the performance of the bionic undulatory fin underwater robot is improved from a control algorithm level.

The invention discloses a method for realizing a self-adaptive walking framework of an anthropomorphic robot based on a CPG (Central Pattern Generator) model. The method comprises the following stepsof firstly, enabling a CPG network to output a reasonable rhythm control signal, so as to enable the anthropomorphic robot to walk on flat ground; designing a learning module based on a neural network, wherein the learning module is used for learning and outputting an expected rhythm compensation signal to act on the output of original CPG; finally, designing the reasonable robot feedback, so as to enable the whole control framework to output the expected rhythm control signal according to environments, thereby being suitable for various ramp environments. The method has the advantages that the problem of difficulty in production of precise and diversified rhythm signals by the CPG model in the field of bionic control of robots is solved; the practicality of the CPG model in the field of robot control is improved; the important meaning is realized for the designing of the more self-adaptive anthropomorphic robot system.

The invention provides a CPG (Central Pattern Generator)-based cardiopulmonary rhythm synchronous control experimental platform. The CPG-based cardiopulmonary rhythm synchronous control experimental platform comprises two parts, namely an FPGA (Field Programmable Gate Array) development board and an upper computer, wherein the two parts are mutually connected through a USB (Universal Serial Bus) interface; the FPGA development board is used for realizing a cardiac muscle cell network model, a CPG model and an FFT (Fast Fourier Transform) algorithm; the upper computer is used for designing an upper computer software interface by adopting LabVIEW and is in communication with the FPGA development board. The CPG-based cardiopulmonary rhythm synchronous control experimental platform provided by the invention has the effects that through an FPGA neural network experimental platform based on high-speed computation which is used for carrying out non-animal testing on biological neural networks, regulation and control of a CPG on cardiopulmonary rhythm synchronization are realized, and the time-scale consistency with real biological neurons can be ensured; according to the CPG-based cardiopulmonary rhythm synchronous control experimental platform, a visual research platform which is more approximate to a real neural network is provided for researching a mechanism and control of the cardiopulmonary rhythm synchronization, and the CPG-based cardiopulmonary rhythm synchronous control experimental platform has the important practical value in researching and treating multiple cardiopulmonary diseases comprising a cardiovascular disease and the like.

Described is a system for controlling epidural spinal cord stimulation. Using an Unscented Kalman Filter (UKF), the system receives sensed physiological signals from a subject and, based on the sensed physiological signals, estimating an unobservable state of a target area on the subject. A central pattern generator is then used to generate a stimulation pattern based on the unobservable state. The stimulation pattern is applied to the target area (e.g., spinal cord) of the subject using an electrode array. Receiving feedback, the UKF continuously updates a model of the spinal cord, which results in adjustment of the stimulation pattern as necessary.

The invention provides a hexapod robot central pattern inverse control method. The method includes the following steps of 1, creating a D-H model of legs of a robot; 2, conducting foot end path planning on the robot on the basis of the D-H model; 3, conducting inverse kinematics analysis on foot end path planning to obtain a joint corner of each joint of the legs of the robot; 4, inputting the joint corner of each joint of the legs of the robot into a central pattern generator, wherein the central pattern generator outputs a control signal of each joint of the robot; 5, conducting signal coupling on the control signals of all the joints. By means of the method, the complexity of model control is effectively reduced, the gait of the robot is controlled conveniently, and the robot can move along a planned path.

The invention relates to a flexible mechanical arm and a central pattern generator-based control method. The flexible mechanical arm comprises a plurality of flexible modules which are connected in sequence in a set direction and a plurality of central pattern generators which are coupled with one another; each flexible module comprises an elastic shell; the inner cavity of each elastic shell is filled with a working medium; the volume of each flexible module does not change; the elastic shell comprises two transverse surfaces; the extending directions of the plurality of the flexible modulespenetrate through the transverse surfaces; the two transverse surfaces are connected to form the closed elastic shell through a longitudinal surface; and each central pattern generator can independently control the elastic deformation of each flexible module in the set direction and make the areas of the transverse surfaces and the corresponding longitudinal surface change in inverse proportion, so that the overall flexible mechanical arm moves in a set trajectory.

The invention provides a central pattern generator of a key parameter decoupling oscillator. The central pattern generator of the key parameter decoupling oscillator is obtained through the improvement on a mathematics model of a harmonic oscillator, decoupling treatment is conducted on originally coupled parameters, and in this way, the features of an output signal can be independently controlled. The central pattern generator is used for control over a walking motor, and the walking state, the land occupation coefficient and the movement period of the robot can be independently controlled; and in this way, motion of the robot is more flexible, the complexity of control over the robot is lowered, and the adaptability to the natural environment and the motion stability of the walking robotcan be improved.