Intelligent permanent magnet heterogeneous synchronous bionic robot motor

Abstract

The present application provides an intelligent permanent magnet heterogeneous synchronous bionic robot motor, the motor comprising: a motor chip, a permanent magnet heterogeneous stator sensor, an electromagnetic magnetic track suspension generator, a light-reactive stator lobe frequency transmitter, a light-reactive rotor lobe frequency receiver, a permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer and a permanent magnet heterogeneous synchronous motor voltage shunt. By individually designing the functions of each device of the motor chip, the permanent magnet heterogeneous stator sensor, the electromagnetic magnetic track suspension generator, the light-reactive stator lobe frequency transmitter, the light-reactive rotor lobe frequency receiver, the permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer and the permanent magnet heterogeneous synchronous motor voltage shunt and co-designing the working logic between the devices, the motor ultimately has a higher management efficiency for the motor vector variable speed torque and a faster response speed to the torque capacity strategy.

Description

Technical Field

[0001] The present application relates to the technical field of electric motors, and in particular to an intelligent permanent magnet heterogeneous synchronous bionic robot motor. Background Art

[0002] With the continuous development of science and technology, motor technology is also constantly improving. At present, the motors installed in robots on the market generally use the more common permanent magnet synchronous motors, but permanent magnet synchronous motors have poor effective management of motor vector variable speed torque, and the torque capacity strategy response speed is slow. In actual use, the motor will limit the performance of the robot.

[0003] Therefore, how to provide an electric motor with higher management efficiency for electric motor vector speed change torque and faster torque capacity strategy response speed has become a technical problem that technical personnel in this field urgently need to solve. Summary of the invention

[0004] Based on the above problems, the present application provides an intelligent permanent magnet heterogeneous synchronous bionic robot motor, the motor comprising: a motor chip, a permanent magnet heterogeneous stator sensor, an electromagnetic magnetic track suspension generator, a photo-reactive stator lobe wave frequency transmitter, a photo-reactive rotor lobe wave frequency receiver, a permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer and a permanent magnet heterogeneous synchronous motor voltage shunt;

[0005] The motor chip includes an algorithm layer, a sampling layer, a cleaning layer, a transmission layer and a control layer. The algorithm layer is used to process the sensor data transmitted by the sensor through a pre-designed algorithm to obtain a control signal. The pre-designed algorithm is a neural network algorithm based on a diffraction network of a fuzzy neural network. The logic gate of the neural network algorithm supports reconstruction.

[0006] The sampling layer is used to clean the basic data collected by the permanent magnet heterogeneous stator sensor to obtain cleaned data, and anneal the cleaned data based on an annealing algorithm to obtain sensor data;

[0007] The transmission layer is used to convert the control signal obtained by the motor chip based on the sensor data processing into a signal wave, and the signal wave is used to control the motor;

[0008] The control layer is used to control the motor based on the signal wave;

[0009] The electromagnetic rail suspension generator is used to suspend the permanent magnet heterogeneous stator sensor on the robot. When the long-wave lattice tensor-Bayesian data signal recognized by the permanent magnet heterogeneous stator sensor is transmitted to the electromagnetic rail suspension generator, the long-wave lattice tensor-Bayesian data signal is subjected to neural calculation based on deep learning to obtain an electromagnetic rail suspension generation signal. Based on the electromagnetic rail suspension generation signal, the permanent magnet heterogeneous stator sensor is suspended on the robot, and the electromagnetic rail suspension generation signal is sent to the light-reactive stator lobe wave frequency transmitter.

[0010] The light-reactive stator lobe wave frequency transmitter is used to process the electromagnetic rail suspension generation signal through a field programmable gate array and an annealing data logic gate to obtain a generation signal data value, synchronize the generation signal data value to the stator core of the permanent magnet heterogeneous stator sensor and the air valve sensor of the robot, and send the generation signal data value to the light-reactive rotor lobe wave frequency receiver;

[0011] The photo-reactive rotor lobe wave frequency receiver is used to obtain the occurrence signal data value emitted by the photo-reactive stator lobe wave frequency transmitter, and the photo-reactive rotor lobe wave frequency receiver irradiates and pre-starts the motor based on the occurrence signal data value, and triggers the permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer when the motor is pre-started;

[0012] When the permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer is triggered, a spectrum analysis calculation is performed on the sensor signal collected by the permanent magnet heterogeneous stator sensor to obtain a spectrum analysis settlement result, and based on the spectrum analysis settlement result, the permanent magnet heterogeneous stator sensor is controlled to collect the light signal generated by the reaction rotor lobe frequency receiver irradiating the motor and the oscillation signal of the reverse harmonic generated by the laser particles and the medium signal triggered by the light signal, and the permanent magnet heterogeneous synchronous motor voltage shunt is triggered based on the light signal and the oscillation signal of the reverse harmonic;

[0013] When the permanent magnet heterogeneous synchronous motor voltage shunt is triggered, the permanent magnet heterogeneous synchronous motor voltage shunt shunts the voltage for controlling the motor based on the optical signal and the oscillation signal of the inversion harmonic.

[0014] In a possible implementation, the robustness of the permanent magnet heterogeneous stator sensor is determined by the following method:

[0015] Acquire the optical signal of the optical reaction rotor lobe wave frequency receiver irradiating the motor;

[0016] Based on the optical signal, a quadratic tensor-Bayesian algorithm is used to simulate the on-site optical flow approaching the motor to obtain an on-site optical flow simulation result;

[0017] The robustness of the permanent magnet heterogeneous stator sensor is determined based on the on-site optical flow simulation results.

[0018] In a possible implementation, the electromagnetic track suspension permanent magnet material of the permanent magnet heterogeneous stator sensor is an electromagnetic material synthesized from a neodymium iron boron alloy material and rare earth.

[0019] In a possible implementation, the permanent magnet heterogeneous stator sensor is a Chaos environmental fuzzy field reconfigurable motor neural network data control sensor.

[0020] Compared with the prior art, this application has the following beneficial effects:

[0021] The present application provides an intelligent permanent magnet heterogeneous synchronous bionic robot motor. By using a neural network algorithm based on a diffraction network of a fuzzy neural network, the motor chip can quickly process sensor data and generate control signals. The logic gates of this algorithm support reconstruction, which further improves the response speed of the motor to torque changes, allowing the motor to maintain high performance in a complex operating environment. The sampling layer cleans and processes the sensor data through an annealing algorithm to ensure the accuracy and reliability of the data. Combined with a permanent magnet heterogeneous stator sensor and a light-reactive stator lobe wave frequency transmitter, the system can effectively manage the vector variable speed torque of the motor and improve the overall management efficiency. The electromagnetic magnetic track suspension generator suspends the permanent magnet heterogeneous stator sensor on the robot and uses deep learning neural computing to process long-wave lattice tensor-Bayesian data signals. This suspension technology reduces mechanical friction and energy loss, and improves the operating efficiency and stability of the motor. The permanent magnet heterogeneous synchronous motor voltage shunt realizes accurate shunt of the motor voltage by processing the oscillation signal of the optical signal and the inversion harmonic. This shunt mechanism ensures the stable operation of the motor under different load conditions and avoids the influence of voltage fluctuations on the performance of the motor. By integrating a permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer and other intelligent components, the system can quickly respond to environmental changes and adjust the operating state of the motor. This intelligent design enhances the adaptability of the motor system and enables it to meet diverse application requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0023] Figure 1 A schematic diagram of a motor control structure of an intelligent permanent magnet heterogeneous synchronous bionic robot motor provided in this application;

[0024] Figure 2 A schematic diagram of the light propagation posture of a dual laser folded waveform of a permanent magnet heterogeneous synchronous motor voltage shunt provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] As described above, the motors installed in robots on the market currently generally use the more common permanent magnet synchronous motors. However, permanent magnet synchronous motors have poor effective management of the motor's vector variable speed torque, and the torque capacity strategy responds slowly. In actual use, the motors will limit the performance of the robot.

[0026] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] Figure 1 A schematic diagram of the motor control structure of an intelligent permanent magnet heterogeneous synchronous bionic robot motor provided in this application, Figure 1 Included:

[0028] Motor chip 101, permanent magnet heterogeneous stator sensor 102, electromagnetic magnetic track suspension generator 103, photo-reactive stator lobe wave frequency transmitter 104, photo-reactive rotor lobe wave frequency receiver 105, permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer 106 and permanent magnet heterogeneous synchronous motor voltage shunt 107.

[0029] Motor Chip 101:

[0030] The motor chip includes an algorithm layer, a sampling layer, a cleaning layer, a transmission layer and a control layer. The algorithm layer is used to process the sensor data transmitted by the sensor through a pre-designed algorithm to obtain a control signal. The pre-designed algorithm is a neural network algorithm based on a diffraction network of a fuzzy neural network, and the logic gates of the neural network algorithm support reconstruction.

[0031] The sampling layer is used to clean the basic data collected by the permanent magnet heterogeneous stator sensor to obtain cleaned data, and anneal the cleaned data based on the annealing algorithm to obtain sensor data.

[0032] The transmission layer is used to convert the control signal obtained by the motor chip based on the sensor data processing into a signal wave, and the signal wave is used to control the motor.

[0033] The control layer is used to control the motor based on the signal wave.

[0034] In a possible implementation, the intelligent permanent magnet heterogeneous synchronous bionic robot motor includes a synchronous tensor-Bayesian data sensor algorithm layer, which is based on the reconfigurable neural computing algorithm layer design of the fuzzy neural network PNN physical diffraction network logic gate. Specifically, the electromagnetic induction logic data of the proposed area is sampled, the sampled data is mined and cleaned-annealed into a clean data signal, and then networked into a new signal wave on the transmission layer for data modular guidance and control of the motor starting posture (engine suspension posture adjustment process).

[0035] Permanent magnet heterogeneous stator sensor 102:

[0036] In a possible implementation, after the sensor is started, it can be suspended on the four side cantilevers of the motor based on the control logic of the motor. The permanent magnet heterogeneous stator sensor uses a low-power slot punching data module to quickly convert it into a pending signal wave, condense in the long circle area of ​​the stator ring, and trigger the stator's front (starting the motor) or rear (brake system on). Based on the above operation module, the sensor acting on the stator and rotor is used to collect the electromagnetic-photon signal source data, and the photoelectron signal wave data is mined and processed in the near field. The annealing signal logic data gate is closed to obtain the system identifier assembly signal and transmit it to the electromagnetic magnetic track suspension generator and converter for standby.

[0037] In a possible implementation, the electromagnetic track suspension permanent magnet material of the permanent magnet heterogeneous stator sensor is an electromagnetic material synthesized from a neodymium iron boron alloy material and rare earth.

[0038] Electromagnetic magnetic track suspension generator 103:

[0039] The electromagnetic rail suspension generator is used to suspend the permanent magnet heterogeneous stator sensor on the robot. When the long-wave lattice tensor-Bayesian data signal recognized by the permanent magnet heterogeneous stator sensor is transmitted to the electromagnetic rail suspension generator, the long-wave lattice tensor-Bayesian data signal is subjected to neural calculation based on deep learning to obtain an electromagnetic rail suspension generation signal. Based on the electromagnetic rail suspension generation signal, the permanent magnet heterogeneous stator sensor is suspended on the robot, and the electromagnetic rail suspension generation signal is sent to the light-reactive stator lobe wave frequency transmitter.

[0040] In one possible implementation, when the primary physical layer long-wave lattice tensor-Bayesian data signal of the permanent magnet heterogeneous stator sensor 102 is transmitted to the electromagnetic track suspension generator, the long-wave lattice tensor-Bayesian data signal is subjected to deep learning-based neural calculation to obtain the electromagnetic track suspension generation signal, based on which the permanent magnet heterogeneous stator sensor is suspended on the robot, and the primary signal source code data is obtained for annealing, and is transmitted across zones to the zone for pending determination, and is synchronously transmitted to the intelligent light-reactive stator lobe wave frequency transmitter, and at the same time, the closed annealing signal logic gate is opened to start.

[0041] Photo-responsive stator lobe wave frequency transmitter 104:

[0042] The photo-responsive stator lobe frequency transmitter is used to process the electromagnetic rail suspension generation signal through a field programmable gate array and an annealing data logic gate to obtain a generation signal data value, synchronize the generation signal data value to the stator core of the permanent magnet heterogeneous stator sensor and the air valve sensor of the robot, and send the generation signal data value to the photo-responsive rotor lobe frequency receiver.

[0043] Photo-responsive rotor lobe frequency receiver 105:

[0044] The photo-responsive rotor lobe frequency receiver is used to obtain the generation signal data value emitted by the photo-responsive stator lobe frequency transmitter. The photo-responsive rotor lobe frequency receiver irradiates and pre-starts the motor based on the generation signal data value, and triggers the permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer when the motor is pre-started.

[0045] Permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer 106:

[0046] When the permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer is triggered, the sensor signal collected by the permanent magnet heterogeneous stator sensor is subjected to spectrum analysis calculation to obtain a spectrum analysis settlement result. Based on the spectrum analysis settlement result, the permanent magnet heterogeneous stator sensor is controlled to collect the light signal generated by the reaction rotor lobe frequency receiver irradiating the motor and the oscillation signal of the inverse harmonic generated by the laser particles and the medium signal triggered by the light signal. The permanent magnet heterogeneous synchronous motor voltage shunt is triggered based on the light signal and the oscillation signal of the inverse harmonic.

[0047] Permanent magnet heterogeneous synchronous motor voltage shunt 107:

[0048] When the permanent magnet heterogeneous synchronous motor voltage shunt is triggered, the permanent magnet heterogeneous synchronous motor voltage shunt shunts the voltage for controlling the motor based on the optical signal and the oscillation signal of the reverse harmonic.

[0049] Figure 2A schematic diagram of the light propagation posture of a dual laser folded waveform of a permanent magnet heterogeneous synchronous motor voltage shunt provided in an embodiment of the present application.

[0050] In a possible implementation, the parameter planning of the motor provided in the embodiment of the present application may be:

[0051] model:

[0052] BRM-NFHS-180-42; BRM-NFHS-200-80;

[0053] BRM-NFHS-95-33; BRM-NFHS-750-220; BRM-NFHS-3000-240, etc.;

[0054] parameter:

[0055] Rated voltage: 33V DC, 42V DC, 80V DC, 220V DC, 240V DC, etc.;

[0056] Rated power: 95W, 180W, 200W, 750W, 1500W, 3000W, 4500W-300KW, etc.

[0057] Rated speed: 5-4000rpm;

[0058] Rated torque: 0.218-260Nm

[0059] Maximum afterburner thrust: 16800 Newtons + / -;

[0060] General conventional total thrust: 110-220KN.

[0061] In practical applications, the computer-readable storage medium may be any combination of one or more computer-readable media, which may be a computer-readable signal medium or a computer-readable storage medium.

[0062] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0063] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0064] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0065] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0066] It should be noted that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is merely schematic, in which the unit described as a separate component may or may not be physically separated, and the component prompted as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative work.

[0067] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An intelligent permanent magnet heterogeneous synchronous bionic robot motor, characterized in that: include: Motor chip, permanent magnet heterogeneous stator sensor, electromagnetic magnetic track suspension generator, photo-responsive stator lobe wave frequency transmitter, photo-responsive rotor lobe wave frequency receiver, permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer and permanent magnet heterogeneous synchronous motor voltage shunt; The motor chip includes an algorithm layer, a sampling layer, a cleaning layer, a transmission layer and a control layer. The algorithm layer is used to process the sensor data transmitted by the sensor through a pre-designed algorithm to obtain a control signal. The pre-designed algorithm is a neural network algorithm based on a diffraction network of a fuzzy neural network. The logic gate of the neural network algorithm supports reconstruction. The sampling layer is used to clean the basic data collected by the permanent magnet heterogeneous stator sensor to obtain cleaned data, and anneal the cleaned data based on an annealing algorithm to obtain sensor data; The transmission layer is used to convert the control signal obtained by the motor chip based on the sensor data processing into a signal wave, and the signal wave is used to control the motor; The control layer is used to control the motor based on the signal wave; The electromagnetic rail suspension generator is used to suspend the permanent magnet heterogeneous stator sensor on the robot. When the long-wave lattice tensor-Bayesian data signal recognized by the permanent magnet heterogeneous stator sensor is transmitted to the electromagnetic rail suspension generator, the long-wave lattice tensor-Bayesian data signal is subjected to neural calculation based on deep learning to obtain an electromagnetic rail suspension generation signal. Based on the electromagnetic rail suspension generation signal, the permanent magnet heterogeneous stator sensor is suspended on the robot, and the electromagnetic rail suspension generation signal is sent to the light-reactive stator lobe wave frequency transmitter. The light-reactive stator lobe frequency transmitter is used to process the electromagnetic rail suspension generation signal through a field programmable gate array and an annealing data logic gate to obtain a generation signal data value, synchronize the generation signal data value to the permanent magnet heterogeneous stator sensor of the stator core and the air valve sensor of the robot, and send the generation signal data value to the light-reactive rotor lobe frequency receiver; The photo-reactive rotor lobe wave frequency receiver is used to obtain the occurrence signal data value emitted by the photo-reactive stator lobe wave frequency transmitter, and the photo-reactive rotor lobe wave frequency receiver irradiates and pre-starts the motor based on the occurrence signal data value, and triggers the permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer when the motor is pre-started; When the permanent magnet heterogeneous quantum frequency modulation continuous wave spectrometer is triggered, a spectrum analysis calculation is performed on the sensor signal collected by the permanent magnet heterogeneous stator sensor to obtain a spectrum analysis settlement result, and based on the spectrum analysis settlement result, the permanent magnet heterogeneous stator sensor is controlled to collect the light signal generated by the light reaction rotor lobe frequency receiver irradiating the motor and the oscillation signal of the reverse harmonic generated by the laser particles and the medium signal triggered by the light signal, and the permanent magnet heterogeneous synchronous motor voltage shunt is triggered based on the light signal and the oscillation signal of the reverse harmonic; When the permanent magnet heterogeneous synchronous motor voltage shunt is triggered, the permanent magnet heterogeneous synchronous motor voltage shunt controls the voltage of the motor to shunt based on the optical signal and the oscillation signal of the inversion harmonic.

2. The electric motor according to claim 1, characterized in that The robustness of the permanent magnet heterogeneous stator sensor is determined by the following method: Acquire the optical signal of the optical reaction rotor lobe wave frequency receiver irradiating the motor; Based on the optical signal, a quadratic tensor-Bayesian algorithm is used to simulate the on-site optical flow approaching the motor to obtain an on-site optical flow simulation result; The robustness of the permanent magnet heterogeneous stator sensor is determined based on the on-site optical flow simulation results.

3. The electric motor according to claim 1, characterized in that The electromagnetic track suspension permanent magnet material of the permanent magnet heterogeneous stator sensor is an electromagnetic material synthesized from a neodymium iron boron alloy material and rare earth.

4. The electric motor according to claim 1, characterized in that The permanent magnet heterogeneous stator sensor is a Chaos environment fuzzy field reconfigurable motor neural network data control sensor.

Images