14results about How to "Improve observation accuracy" patented technology

In order to solve the technical problems that the existing droplet observation device cannot monitor the multi-nozzle printing process and the overall observation precision is low, the present application provides a multi-nozzle single droplet real-time observation device, an observation method and a 3D printing system.The observation device of the present application can make the observation camera capture the current working printing nozzle and automatically focus on it in real time through the cooperation of the first steering engine and the displacement platform, and complete the real-time monitoring of the printing state of the printing nozzle; through the high-frequency multiple flashing of the LED flash, the observation camera can capture the images of the same droplet at multiple times in one shot, at the same time, the high-frequency deflection of the piezoelectric deflection mirror and the telecentric lens are matched with each other, the overlapping images of the single droplet at adjacent moments are separated, so that a single photo can have enough droplet images to show the forming process, the overall observation precision is improved, the quality monitoring and fault diagnosis problems during additive manufacturing are improved, and the waste rate of electronic 3D printing is reduced.

This application belongs to the field of DC bus voltage control, specifically disclosing a super-spiral sliding mode active disturbance rejection control method based on an RBF neural network, including the following steps: establishing a mathematical model of a bidirectional Buck / Boost circuit; designing an active disturbance rejection controller, which includes a tracking differentiator and an extended state observer; using an RBF neural network to dynamically optimize the gain parameters of the extended state observer in real time; constructing a super-spiral integral sliding mode controller to replace the nonlinear state error feedback loop in the active disturbance rejection controller; calculating a current reference signal based on the output signal of the tracking differentiator and the observation signal of the extended state observer through the super-spiral integral sliding mode controller; generating a drive signal based on the current reference signal to control the bidirectional Buck / Boost circuit to maintain the stability of the DC bus voltage. This application can effectively improve the stability and disturbance rejection capability of the DC microgrid bus voltage.

The invention provides a two-phase hybrid stepping motor sensorless load angle estimation and locked-rotor detection method, and relates to the technical field of motor control. Firstly, phase voltage and phase current of a motor are collected, a continuous and smooth counter electromotive force signal is obtained by constructing a super-spiral sliding-mode observer, and a self-adaptive strategy of resistance parameter online compensation and sliding-mode coefficient online adjustment is introduced to improve robustness of the sliding-mode observer. And then, extracting a back electromotive force phase angle by using an orthogonal phase-locked loop based on an extended state observer, and calculating a load angle by combining the phase of the stator reference current. And finally, the load angle is compared with a multi-stage early warning threshold value, and real-time monitoring of the motor load and rapid detection of out-of-step and locked-rotor faults are realized. According to the method, the hardware dependence of traditional load angle calculation and locked-rotor detection on a position sensor is eliminated, meanwhile, the problems of high-frequency differential noise, filtering phase lag and the like in a sensorless algorithm are effectively solved, and high-precision load angle estimation and locked-rotor detection are achieved.

The application discloses a non-singular fast terminal sliding mode vibration active control method based on a compensation function observer, 1) according to elastic dynamics, a fourth-order modal equation of a four-side fixed support plate structure driven by an electromagnetic inertial actuator is established; 2) in view of external unknown interference and modeling uncertainty existing in the system, a compensation function observer is designed to realize real-time estimation and compensation; 3) a non-singular fast terminal sliding mode surface is constructed, and a sliding mode control law is designed in combination with the observer output, so that the singularity problem of a traditional terminal sliding mode is solved, and the time for system state to reach a balance point is shortened through a fast convergence term; 4) a comparison experiment is designed, and the composite control method designed in the application can significantly reduce the vibration amplitude of the four-side fixed support plate while guaranteeing the finite time stability of the system, and has stronger anti-interference ability and higher vibration suppression precision compared with the traditional sliding mode control.

This invention relates to an active disturbance rejection control method for the surface potential of an isolated conductor based on an RBF neural network and the INFO optimization algorithm, belonging to the field of charge control technology for space inertial sensors. The invention addresses the problems of insufficient accuracy in estimating the fixed gain of the extended state observer and the difficulty in tuning the parameters of the nonlinear feedback control law in existing active disturbance rejection control methods. The method includes: establishing a dynamic model of the isolated conductor charge management system; constructing a dual-error-constrained extended state observer; adaptively adjusting the observer gain using an RBF neural network to observe the potential and total disturbance; constructing a differential tracker to obtain the expected potential and its derivative; designing a nonlinear state error feedback control law; using the INFO algorithm for global optimization to obtain the optimal control parameters; and constructing a composite controller to output feedback control quantities. This invention achieves adaptive adjustment of the observer gain and automatic optimization of the controller parameters, making it suitable for space gravitational wave detection.

This invention discloses an input-constrained stabilization control method for a TORA system affected by uncertain disturbances, relating to the field of engineering vibration control technology. The method includes: establishing the dynamic equations of the TORA system; constructing a Model-Assisted Reduced-Order Extended State Observer (MRESO) to dynamically estimate lumped disturbances in each subsystem online; designing a virtual control law for the translational trolley subsystem based on the backstepping method, and processing the virtual control law using a tracking differentiator to obtain a smooth differential signal; designing an actual control law for the rotating ball subsystem without considering input constraints; using the lumped disturbance as a feedforward compensation quantity to compensate the actual control law, obtaining the compensated control quantity; and inputting the compensated control quantity into a saturated approximation function for mapping to generate the final bounded control command, which is then applied to the actuator of the TORA system. This invention effectively reduces the sensitivity to system parameter uncertainties by introducing dimensionless scaling.

The invention discloses a CSOGI-based IPMSM position sensorless control method and related equipment, and relates to the field of AC motor control, and the method comprises the steps: constructing a stator back electromotive force based on the collected stator voltage and current, carrying out the integration of the back electromotive force through employing the CSOGI, so as to obtain a stator flux linkage component, and carrying out the integration of the stator flux linkage component; meanwhile, a second-order generalized integrator SOGI is used for conducting self-adaptive filtering on the stator current to obtain a fundamental current component, then the effective flux linkage is calculated in combination with quadrature-axis inductance, the effective flux linkage is input into a phase-locked loop PLL to extract the electrical angular speed and the rotor position, and a vector control closed loop without a position sensor is achieved. The center frequencies of the CSOGI and the SOGI are consistent with the synchronous electrical angular velocity of the motor, and suppression of direct current bias and higher harmonics is realized through parameter design, so that the stability and precision of flux linkage observation and position estimation are improved. The method is suitable for IPMSM position sensorless control in the presence of measurement bias and harmonic interference.

The invention discloses an all-parameter hybrid measurement method for a sine-type electro-magnetic doubly salient motor, and relates to the field of sine-type electro-magnetic doubly salient motors, and the method comprises the steps: firstly, taking the temperature change factor into consideration in an offline state, and obtaining armature resistances at different temperatures in an offline manner; then, an excitation flux linkage is determined by off-line actual measurement of any phase of no-load back electromotive force peak value at a specific rotating speed; on the basis of armature resistance and excitation flux linkage obtained through off-line measurement, three enhanced extended state observers are constructed for a motor motion equation of the sine-type electro-magnetic doubly salient motor and motor voltage equations under two orthogonal axis coordinate systems according to an active-disturbance-rejection control theory; according to the method, the design is simple, the measurement precision is high, the robustness is high, and the defect that different methods are adopted to measure mechanical parameters and electrical parameters respectively is avoided.

This invention discloses a sensorless control method and system for a permanent magnet synchronous linear motor (PMSM), belonging to the field of sensorless control technology for PMSMs. The method constructs an adaptive full-order state observer based on the current-state equation of the PMSM; utilizes the current-state error to construct an error feedback gain matrix; derives a parameter adaptive law based on Popov's hyperstability theorem to adjust the error between the observed current and the sampled current in real time; and designs an active disturbance rejection controller based on the motor's motion equation to further improve position observation accuracy by suppressing the influence of comprehensive system disturbances on the adaptive observer. This invention enables efficient sensorless control of PMSMs, eliminating the need for position sensor installation and improving position observation accuracy and system anti-interference capability.

The application provides a kind of two-phase hybrid stepping motor position sensorless load angle estimation and stall detection method, it is related to motor control technical field.First, the phase voltage and phase current of motor are collected, the continuous smooth back electromotive force signal is obtained by constructing supercoil sliding mode observer, and the adaptive strategy of introducing resistance parameter online compensation and sliding mode coefficient online adjustment is introduced to improve the robustness of sliding mode observer.Then, the back electromotive force phase angle is extracted by using the quadrature phase-locked loop based on extended state observer, and the load angle is calculated by combining the phase of stator reference current.Finally, the load angle is compared with the multi-stage early warning threshold, the real-time monitoring of motor load and the rapid detection of out-of-step stall fault are realized.The application eliminates the hardware dependence of traditional load angle calculation and stall detection on position sensor, effectively overcomes the problems of high-frequency differential noise, filter phase lag and other problems in sensorless algorithm, and realizes high-precision load angle estimation and stall detection.

The invention discloses an unmanned aerial vehicle fixed time control method and system for cooperatively inhibiting interference and IMU spoofing. The method comprises the following steps: constructing an explicit nonlinear attitude dynamics model containing IMU spoofing attack and external lumped disturbance and a controlled model; according to the nonlinear attitude dynamics model, introducing a virtual intermediate variable, and obtaining a feedforward compensation signal; introducing a piecewise defined auxiliary function, and constructing a fixed time sliding mode function according to the controlled model; according to the observed value and a fixed time sliding mode function, a total control law is constructed, it is ensured that the attitude tracking error of the closed-loop system is converged to a stable state within preset fixed time, and the upper bound of total convergence time depends on controller parameters. According to the method, interference and attack can be effectively distinguished and suppressed in a strong confrontation environment of the unmanned aerial vehicle, and rapid recovery and stable control of the flight attitude are realized, so that the adaptability and task execution reliability of the unmanned aerial vehicle in a complex electromagnetic and acoustic interference environment are enhanced.

This invention discloses a control method for a dual three-phase permanent magnet synchronous generator (DTP-PMSG) rectifier system. By modeling the dual three-phase permanent magnet synchronous generator, vector control is performed on the DTP-PMSG rectifier system. A sliding mode observer based on an adaptive superspiral algorithm replaces the traditional sliding mode observer to estimate the motor back electromotive force and rotor position. This method suppresses the high-frequency chattering problem caused by the traditional sliding mode observer using a sign function as the control function, improving the observation accuracy of the rotor angle position. Furthermore, it ensures that the DC output provides stable DC power to the load. Simulation results verify the effectiveness of the proposed control scheme based on the adaptive superspiral algorithm sliding mode observer.

The application discloses a correction method, device and equipment of a Dick switch type ozone microwave radiometer, and belongs to the technical field of ozone microwave radiometer calibration. The method comprises the following steps: acquiring real-time observation data of a Dick switch type ozone microwave radiometer on ozone observation, and a receiving power ratio of a Dick switch switching to an observation signal channel and a reference signal channel in observation data of the Dick switch type ozone microwave radiometer on ozone observation under extreme weather conditions; weighting the reference signal in the real-time observation data through the receiving power ratio, determining the microwave radiation brightness temperature of ozone through cold and hot load calibration according to the difference between the observation signal and the weighted reference signal in the real-time observation data. The application can effectively correct the positive and negative peak asymmetry deviation caused by the frequency switch technology, maintain the continuity of ozone observation, significantly improve the observation accuracy, and greatly reduce the labor cost and observation cost.

This utility model relates to a laser cutting machine blade module and a laser cutting machine, belonging to the field of laser processing equipment. The technical solution is as follows: a laser cutting machine blade module includes two blade bodies, which are parallel to each other. A central support and two side supports are provided between the two blade bodies, and both the central and side supports are connected to the two blade bodies. Along the length of the blade body, the central support is located in the middle of the blade body, and the two side supports are located at both ends of the blade body. A first observation port is provided on the upper edge of the side supports, and a second observation port is provided on the upper edge of the central support. The width of the second observation port is smaller than the width of the first observation port, and the second observation port is located in the middle of the first observation port. The relative position of the second and first observation ports allows for a direct visual observation of whether the blade is bending upwards or downwards, enabling early identification of deformation and avoiding processing waste and production losses due to undetected deformation.