877 results about "Switching frequency" patented technology

The present application relates to the technical field of safety management, in particular to a mine air compressor safe operation management method and system based on deep learning, comprising the following steps: collecting output pressure and input current, calculating slope change rate and direction switching frequency, clustering fluctuation amplitude and frequency by time period, generating working condition fluctuation label, identifying state mutation point and duration, calculating risk level label, analyzing load fluctuation coefficient, judging periodic fatigue early warning, combining synchronous rate to identify abnormal section, judging the need to switch state and generating instruction set. In the present application, by constructing the load risk level sequence on the basis of state duration and mutation point identification, the quantitative identification of multi-period load deviation is realized, the early warning period is marked by combining risk level and fatigue deviation ratio, and the abnormal load trend is judged according to the change direction of pressure and return gas flow, which strengthens the capture ability of abnormal operation section and improves the accuracy of operation safety risk identification and the adaptability of response strategy.

The invention relates to the technical field of chip design, and discloses a chip dynamic power consumption scheduling method and system based on an intelligent algorithm. The method comprises the following steps of: firstly, acquiring instruction stream data operated by a chip in real time, extracting a feature vector comprising an instruction dynamic change vector and context associated data, and determining a power consumption prediction mapping parameter according to the feature vector; and when the parameter exceeds a preset threshold value, an accurate power consumption prediction result is generated by adjusting the weight of the convolutional neural network. Subsequently, a synchronous timing demand is calculated based on the instruction switching frequency and the data dependency, and an initial power supply configuration is determined. By monitoring task load classification signals, the power consumption distribution proportion is adjusted when the signals are lower than a threshold value, the optimized power supply configuration is obtained, and the improvement index of the resource distribution efficiency is calculated according to the optimized power supply configuration. And finally, according to the index, dynamically adjusting a limiting condition of a scheduling period, and forming a self-adaptive optimization framework, thereby realizing accurate prediction and dynamic optimization scheduling of the chip power consumption.

The invention belongs to the technical field of LLC resonant converters, and provides an efficiency optimization method of a wide-range LLC resonant converter. The method comprises the following steps: firstly, obtaining a full-bridge LLC resonant converter topology and a working area; secondly, establishing a full-time-domain equation of the full-bridge LLC resonant converter topology in an inductive low-gain output working area, and setting boundary conditions of the full-time-domain equation; then, on the basis of boundary conditions, switching tube turn-off current is calculated, and the switching tube turn-off current is combined with switching tube switching frequency to be represented as switching tube turn-off loss characteristic quantity related to the inductance coefficient, the quality factor and the normalized frequency; then, carrying out characteristic analysis on the turn-off current of the switching tube, and setting constraint conditions; and finally, on the basis of the set constraint conditions, the optimal values of the inductance coefficient, the quality factor and the normalized frequency are calculated by combining a differential evolution algorithm, so that the turn-off loss of the switching tube is minimum. According to the invention, the transmission efficiency in a low-gain mode and a high-gain mode can be improved, and the turn-off loss of the switching tube is reduced.

The invention relates to the technical field of electric energy storage systems, and discloses an electric energy storage system hierarchical cooperative control method based on source-load-storage dynamic matching, and the method comprises the steps: obtaining a common connection point voltage sampling sequence, and calculating a second-order change rate; collecting the first-order change rate of the output current of the energy storage converter and determining a polarization constraint coefficient; switching a control mode according to a second-order change rate magnitude and a polarization constraint coefficient symbol, and utilizing a dynamic damping factor to constrain a duty ratio to adjust a step length; the dynamic damping factor is adjusted and increased when the polarization constraint coefficient exceeds a threshold value under the excitation and transformation state, so that the change rate of the output current is within the charge diffusion safety domain of the storage medium, dynamic damping is guided to implement asymmetric constraint through cooperation of trend pre-judgment and polarization stress identification, the output current is made to adapt to the charge diffusion limit, the switching frequency of the converter is reduced, and the stability of the converter is improved. Active substance precipitation is inhibited; and the total throughput of the equipment in the full life cycle is improved.

A dynamic grid allocation system for power distribution in the development of integrated circuits in the sub-five-nanometer range, wherein the system comprises the following: a placement processor unit configured to receive a synthesized netlist comprising a variety of standard cells and macros, each associated with switching activity data derived from simulation or synthesis activity profiles, and to generate a spatial cell placement arrangement by grouping cells into microzones based on activity correlation, time sensitivity, and connection proximity; a power density calculation unit coupled to the placement processor unit and configured to calculate the local power density and instantaneous current demand for each microzone based on the spatial distribution of switching operations, capacity load, and effective switching frequencies; a dynamic network generation unit coupled to the power density calculation unit and configured to generate a multilayer power distribution network with variable network topology, where the width, spacing, via density and metal layer assignment of the power network are adaptively determined as continuous functions of the localized power density and power demand calculated for each microzone; a topology control processor configured to monitor voltage drop and electromigration data obtained from signoff analyses or predictive models in real time and dynamically adjust the power grid topology parameters to ensure compliance with predefined reliability thresholds for voltage drop and electromigration; a predictive current modeling unit configured to receive historical switching and voltage data, train a predictive model for transient current peaks, and provide predictive power boost instructions to the dynamic grid generation unit before power integrity violations occur; and A feedback synchronization controller is communicatively connected to the placement processor unit and the topology control processor, whereby the feedback synchronization controller continuously exchanges updated power density information and placement constraints, so that cell placement and network topology adapt together in real time, thereby minimizing routing congestion, ensuring a uniform voltage distribution, and guaranteeing compliance with electromigration and IR drop regulations under various activity conditions.

The invention discloses an equipment operation safety detection method and system of an energy storage system, and relates to the technical field of energy storage system safety detection.The method comprises the steps that multichannel original data are collected and preprocessed, and multichannel signals are obtained; extracting an instantaneous frequency through adaptive decomposition and Hilbert transformation based on the multi-channel signal, performing modal reconstruction based on the instantaneous frequency, extracting a switch frequency band energy feature, an EMI feature, a DC ripple and a coherent feature, and constructing a fingerprint vector; collecting health state historical data, calculating a mean vector and a covariance matrix, and constructing a health template; based on the health template and the real-time fingerprint vector, analyzing a safety state through dual statistical judgment, and outputting a safety statistical magnitude; and judging abnormity based on the current safety statistics, performing LASSO sparse reconstruction by using a predefined typical fault template, and outputting a fault type. Therefore, efficient and accurate fault diagnosis and automatic alarm are realized.

The invention discloses a high-robustness deadbeat predictive current control method which is suitable for current control of a dual three-phase permanent magnet motor driving system, and belongs to the technical field of permanent magnet motor control. The method mainly comprises the following steps: reconstructing a motor mathematical model by adopting a space vector decoupling matrix and Park transformation to obtain a motor voltage equation under a dqxy axis; designing a linear expansion state observer; a reference value of an output voltage vector is obtained in combination with deadbeat predictive current control; time delay in the digital control system is calculated, and angle delay is compensated; and designing a closed-loop Smith predictor for compensating a time delay link to complete high-robustness dead-beat predictive current control of the dual three-phase permanent magnet motor. The current loop design in the method does not depend on motor parameters, and the method has high parameter change robustness. By introducing the closed-loop Smith predictor, large delay of the system can be effectively compensated, and high-precision current tracking is realized under low switching frequency.

The invention provides a grid-side current harmonic suppression method and device for a motor driving system without an electrolytic capacitor. The method comprises the following steps: determining first and second bus voltage harmonics based on bus voltage obtained by sampling and inverter switching frequency; correcting the bus voltage according to the first bus voltage harmonic wave and the second bus voltage harmonic wave so as to determine a reconstructed bus voltage; according to the second bus voltage harmonic, the reconstructed bus voltage, an inverter output three-phase duty ratio and a motor three-phase current, first and second network side current harmonic regulation and control voltages are determined based on a self-defined closed-loop controller; and adopting a motor alpha-axis correction voltage and a motor beta-axis correction voltage determined according to the first and second grid-side current harmonic regulation and control voltages to participate in motor SVPWM modulation to output the three-phase duty ratio of an inverter so as to suppress grid-side input current harmonics. According to the method and the device, factors such as motor operation conditions, bus voltage harmonic waves and digital control delay are comprehensively considered, the quality of grid-side input electric energy is improved, and disturbance to machine-side rotating speed and torque is reduced.

The invention provides a motor vibration noise control method and system based on modal resonance frequency prediction, and belongs to the field of motor control. The method comprises the following steps: acquiring each order of intrinsic mode frequency of the permanent magnet motor; a cost function parameter, a current constraint condition and a control target are set, and a model prediction control method is adopted to drive an inverter to operate, specifically, the current operation state quantity of the permanent magnet motor is collected; predicting a state response in a future finite time domain based on the operation state quantity; constructing a value function, and evaluating and optimizing a state change result; and selecting an optimal voltage vector, generating a pulse signal to drive an inverter to execute, obtaining a motor high-frequency electromagnetic force wave distribution condition, comparing the motor high-frequency electromagnetic force wave distribution condition with the intrinsic mode frequency of the permanent magnet motor, and optimizing an optimal voltage vector selection logic. The problems that harmonic waves are concentrated and resonance is easily caused by a fixed switching frequency modulation method in the prior art, and a passive suppression method is high in cost and poor in flexibility are solved.

A triple-active bridge (TAB) converter and methods to optimize the same is disclosed. The TAB converter includes a high-frequency three-winding transformer and three active full bridges, each coupled to the high-frequency transformer through a different passive network. The converter also includes a centralized controller providing gating pulses to semiconductor switches within the active full bridges, a power pulsating buffer (PPB) configured to reduce capacitor requirements on the DC port, and an unfolder stage to convert rectified AC voltage to a pure sine wave. The centralized controller may optimize performance by varying at least one of a switching frequency, a duty cycle of bridge voltages, and a phase shift between bridge voltages. The PPB may include a buck active power decoupler with a half-bridge, inductor, and capacitors, and also a primary full bridge and a power transfer impedance block.

This invention provides a random frequency conversion control method for NVH (Noise, Vibration, and Harshness) of a motor controller in a pure electric vehicle. The method includes: simulating the full throttle pedal condition of the entire vehicle on an electric drive test bench to eliminate tire noise and wind noise interference, thereby obtaining a spectrum diagram of the NVH of the electric drive system at the IGBT base frequency under the full throttle pedal condition; analyzing the spectrum diagram to identify the prominent NVH noise range under the full throttle pedal condition, and using this prominent NVH noise range as the entry condition for random frequency conversion; establishing corresponding random frequency conversion models for different prominent NVH noise ranges based on the base frequency of the IGBT switching frequency, to perform random frequency conversion control on the prominent NVH noise ranges, and using the base frequency of the IGBT switching frequency for control in the non-prominent noise ranges. This invention can reduce the switching frequency noise of the motor controller and improve the NVH performance and safety of electric vehicles.

The invention discloses a system reference clock frequency accuracy automatic calibration circuit and a calibration method thereof, and belongs to the technical field of frequency sources, the calibration circuit comprises a first crystal oscillator, a first power divider, a second power divider, a second crystal oscillator, an analog switch, a radio frequency switch, a detector, a comparator, an FPGA controller, a digital analog converter, an operational amplifier and a temperature sensor. When an external high-precision reference clock is accessed, the FPGA controller automatically switches a frequency measurement reference, performs high-precision frequency measurement on a 100MHz signal output by the first crystal oscillator, and judges whether calibration is needed or not according to frequency offset; if calibration is needed, the output voltage of the digital-to-analog converter is adjusted, the Vc end of the first crystal oscillator is controlled after operational amplification, and frequency closed-loop adjustment is achieved. According to the method, the crystal oscillator does not need to be disassembled, calibration is rapidly completed on site, and system availability and long-term frequency stability are remarkably improved.

The invention discloses a half-bridge ZVS Buck-Boost converter and a control method thereof, and belongs to the technical field of power converters, the half-bridge ZVS Buck-Boost converter comprises a primary side conversion module, a voltage transformation module and a secondary side conversion module, and the primary side conversion module, the voltage transformation module and the secondary side conversion module are connected in sequence; the primary side conversion module comprises a first bridge arm, a second bridge arm, a first inductor and a bidirectional switch, the first bridge arm and the second bridge arm are connected in parallel, a bridge arm midpoint of the first bridge arm is connected with a first end of the first inductor, a second end of the first inductor is connected with a first end of the voltage transformation module, and a second end of the voltage transformation module is connected with a second end of the voltage transformation module. The second end of the voltage transformation module is connected with the bridge arm midpoint of the second bridge arm, the bridge arm midpoint of the first bridge arm is connected with the first end of the bidirectional switch, and the second end of the bidirectional switch is connected with the bridge arm midpoint of the second bridge arm. According to the invention, zero-voltage switching-on of the half-bridge circuit switching tube in a full-input, full-output and full-load range under a constant switching frequency can be realized.

The invention relates to a rapid estimation method and device for MMC loss in an electromagnetic transient model, and a medium. The method comprises the following steps: S1, constructing a Thevenin equivalent model of an MMC; s2, on the basis of an MMC Thevenin equivalent model, discretizing a sub-module capacitor based on a numerical integration method to establish an on-state loss model of the sub-module; s3, correcting to obtain the turn-on loss and turn-off loss of the IGBT and the reverse recovery loss of the diode; s4, in one simulation step, on-state loss is obtained through calculation based on an on-state loss model, the total switching frequency is obtained through calculation according to port data of the Thevenin equivalent model, and switching loss is obtained through combination of on-state loss and off-state loss of an IGBT and reverse recovery loss and switching frequency of a diode; and S5, taking the sum of the on-state loss and the switching loss as total loss. Compared with the prior art, the method has the advantages that real-time updating in the simulation step can be realized, the calculation complexity is controllable, and the overhead is remarkably reduced while the engineering precision is ensured.

According to the megawatt-level half-cycle power generator based on the magnetic pulse compression system, by designing the constant-current magnetic switch reset circuit and the PID voltage stabilization charging technology, the pulse jitter characteristic within 10 ns can be achieved on the premise that megawatt-level power is output, the control precision is greatly improved, and stable output of high-power pulses is achieved. The problem that pulse generated by a traditional magnetic pulse compression amplifier is large in delay jitter is solved, high-precision output of megawatt-level pulses can be achieved, the high-precision magnetic pulse compression amplifier can be applied to a high-power transmitter needing to accurately control pulse output time, the high switching frequency and high switching efficiency of an MOS tube and the pulse compression characteristic of a magnetic switch are combined, and the high-precision magnetic pulse compression amplifier is achieved. The magnetic pulse power source has the advantages of high output power and high efficiency, improves the amplitude and phase stability of the output pulse compared with the traditional magnetic pulse power source, and expands the application scene and platform.

The invention provides a data-driven multi-target control method, device and system based on model prediction, is applied to a three-phase three-level neutral point clamped converter, and aims to realize dual accurate control of switching frequency and neutral point voltage. According to the method, a switch weight factor and a neutral point voltage weight factor are used as inputs, and an average switch frequency in a fixed sliding window time and a neutral point voltage maximum value in another fixed sliding window time are used as outputs; and constructing an equivalent dynamic linearization data model under each dynamic working point of the closed-loop system by adopting a tight-format dynamic linearization method. Based on the data model, a data driving controller is elaborately designed to realize accurate regulation and control of the switching frequency and the maximum value of the neutral point voltage. The method has a high practical value and a wide application prospect in typical application scenes of power electronics and power transmission, such as grid connection and motor driving.

The application provides a method for pulse heating a power battery of an electric vehicle and the electric vehicle. The electric vehicle comprises a plurality of motors and a plurality of three-phase bridge arms. A bridge arm midpoint of each three-phase bridge arm is used for connecting three-phase windings of one motor. Each three-phase bridge arm is used for connecting the power battery through a direct current bus. The control method comprises: controlling each three-phase bridge arm to generate a pulse current on the direct current bus; and adjusting a switching frequency of a switching tube of at least one three-phase bridge arm of the plurality of three-phase bridge arms to reduce a phase difference of the pulse currents generated by the plurality of inverter circuits. The phase value of the pulse current output by the at least one three-phase bridge arm is adjusted, so that the phase difference of the pulse currents generated by the plurality of three-phase bridge arms is reduced, and the heating efficiency of the power battery is improved.

The invention discloses an automatic feeding control method and system for batching ore bins, and relates to the technical field of sintering production batching and mixing, and the method comprises the following steps: if the real-time material quantity of a single ore bin corresponding to a single ore bin is smaller than a single bin lower limit threshold value or the real-time total groove storage quantity is smaller than a total groove storage lower limit threshold value, triggering a raw material field feeding program; the ore bin with the lowest current material level is determined as a target feeding ore bin, and the feeding process of the target feeding ore bin is started; loading of the target feeding ore bin is completed; whether the real-time total tank storage amount is not smaller than the total tank storage upper limit threshold value or not is judged; the steps are repeated until the real-time total groove storage amount is not smaller than the total groove storage upper limit threshold value; and feeding the ore bins which do not meet the preset supply duration under the current condition until all the ore bins meet the preset supply duration, and ending the feeding program of the raw material yard. According to the method, automatic feeding of the blending ore bin of the blending chamber is achieved, the feeding switching frequency of the blending ore bin is reduced, and the blending ore feeding frequency of the blending chamber is reduced.

The invention relates to a dual-active bridge converter backflow power and soft switching range coordinated optimization control method, which widens the soft switching range of a dual-active bridge under full power on the premise of keeping the lowest backflow power, thereby improving the converter efficiency under a high switching frequency scene. According to the scheme, an optimization mapping relation of combination of different optimization input parameters k and output shift phases is given, so that control and implementation are facilitated.

A harmonic modeling method of a power amplifier solves the problem that a traditional modeling method is not suitable for harmonic modeling analysis of a high-switching-frequency topological structure, and comprises the following steps: obtaining baseband harmonic and sideband harmonic caused by modulation nonlinearity according to the number of parallel half bridges, a modulation wave function and a carrier function in the power amplifier; according to the topological structure of the power amplifier, obtaining a circuit equation of the topological structure in the dead-zone time period; calculating the current amplitude envelope of the resonant inductor; and calculating a voltage error caused by the dead-zone time period according to the calculated current amplitude envelope in combination with a circuit equation of the dead-zone time period, performing Fourier decomposition on the voltage error to obtain distortion harmonics caused by the dead-zone time period of the power amplifier, and obtaining total harmonics in combination with the obtained baseband harmonics and sideband harmonics. According to the invention, the switching frequency when the total harmonic distortion is the lowest can be obtained through modeling.

The invention discloses a photovoltaic access power distribution network fault diagnosis method based on fault identification, and particularly relates to the technical field of power grid fault diagnosis, and the method comprises the steps: synchronously obtaining multi-point electrical quantity monitoring data, photovoltaic system inverter operation data and environment data of a power distribution network side, and carrying out the abnormality elimination and delay compensation preprocessing; based on the switching frequency of the photovoltaic inverter and the line parameters of the power distribution network, adaptively selecting a wavelet basis function and a decomposition scale, and extracting a fusion fault feature vector; inputting the feature vectors into a two-channel hybrid neural network model for intelligent diagnosis, and outputting fault section positioning, type classification, severity level and occurrence time information; and finally generating a fault processing instruction according to the diagnosis result. According to the method, the problems of low diagnosis precision, slow response and the like caused by single data source, poor feature extraction self-adaption and simple model structure of the existing method are effectively solved, the accuracy and reliability of complex fault recognition are remarkably improved, and closed-loop automation of fault diagnosis and processing is realized.

Techniques are described herein for improving the burst operation of flyback power converters. The techniques provide a burst mode that delivers voltage pulses to a switching element with decreased power losses (e.g., greater switching efficiency). The efficiency of the power converter can be improved by capping the number of pulses to be delivered in a given burst packet and instituting a fixed delay to limit the power delivery. The pulses may be delivered during valleys of the signal at the switching terminal of the switching element to reduce switching losses. Additionally, a frequency clamp circuit is also provided to ensure the switching frequency is not above a predetermined threshold frequency. A device designed to implement the improved burst operation includes a burst control circuit, a pulse control circuit, a delay control circuit, and a latch.

The invention relates to a multi-node memory synchronization method and device, equipment, a storage medium and a program product. The method comprises the following steps: establishing connection among nodes in a distributed system, configuring local / far-end queues for recording the busy degree of a thread for each node, creating a queue pair associated with a unique doorbell address for each node in combination, and optimizing a retention rule and an error reporting mechanism of a working queue element (WQE) in the queue pair, so that the busy degree of the thread is recorded; batch synchronization of multi-node memory data is achieved by adding an RDMA write operation WQE recording the busy state of a thread before a far-end mapping memory area is newly added and triggering hardware to execute RDMA write operations corresponding to all WQEs in a queue pair in sequence when the busy state of a local thread is updated. By the adoption of the method, the switching frequency of a CPU core between the synchronization task and the calculation task can be reduced, efficient, low-overhead and high-reliability multi-node memory synchronization is achieved, and the method meets the performance requirement of a large-scale distributed system.

The invention relates to the technical field of material processing, and discloses a nitrogen content dynamic regulation and control process for variable polarity argon arc welding of high-nitrogen steel, which comprises the following steps: adjusting the proportion of nitrogen in shielding gas in real time based on a detection result of a flowing state of a molten pool; dynamically regulating and controlling the variable polarity switching frequency based on the arc stability detection signal; the gas supply delay time is adjusted based on the welding heat input change condition; and current waveform modulation parameters are synchronously optimized based on the penetration change so as to realize uniform distribution of nitrogen elements. According to the nitrogen content dynamic regulation and control process for variable-polarity argon arc welding of the high-nitrogen steel, the nitrogen element requirements of different areas of a molten pool can be accurately matched, and the problem that the local nitrogen content is too high or too low due to uneven convection of the molten pool is solved; meanwhile, current waveform modulation parameters are optimized in combination with fusion depth changes, the solubility stability of nitrogen elements in key areas such as the root of the weld joint can be ensured, the problems that the nitrogen content distribution is not uniform and the solubility of the root fluctuates are solved on the whole, and the nitrogen content of each area of the weld joint is closer to a design value.

The invention provides a high-power rectification resonance control method and system for a quick charger, relates to the technical field of rectification resonance, and aims to obtain direct-current bus voltage, adjust output power through frequency modulation of a full-bridge LLC resonant converter, and perform voltage stability control adjustment in combination with feedback current data. Charging curve data analysis is carried out to acquire charging key nodes and resonance frequency nodes, device state data acquisition and analysis are carried out, a frequency conversion control loop is constructed, resonance frequency adjustment is carried out, after adjustment is completed, abnormal nodes are identified and combined analysis is carried out, optimal parameters of each load segment are acquired, and voltage fluctuation data are acquired. The method comprises the steps of carrying out fluctuation influence analysis, carrying out fluctuation suppression by adjusting a switching frequency and phase shift angle combination of a full-bridge LLC resonant converter, carrying out calculation through the full-bridge LLC resonant converter to obtain an equivalent voltage control instruction, carrying out mode buffer switching and obtaining mode control switching data, and realizing rectification resonance accurate control of the charger.

Disclosed in the present invention is a five-level bidirectional inverter, comprising a controller and a bidirectional inverter circuit. The bidirectional inverter circuit comprises a direct current (DC), an alternating current (AC) filter capacitor Cf, an AC, a high-frequency vertical bridge arm, a power-frequency vertical bridge arm, a high-frequency horizontal bridge arm, and two DC filter capacitors. The high-frequency vertical bridge arm and the power-frequency vertical bridge arm are both formed by connecting two power switching transistors in series; the high-frequency horizontal bridge arm is formed by connecting two power switching transistors back-to-back in series; two ends of the high-frequency vertical bridge arm and two ends of the power-frequency vertical bridge arm are respectively connected to positive and negative electrodes of the DC; and the controller controls the bidirectional inverter circuit to work in an off-grid inverter mode, a grid-connected inverter mode or a rectification mode. In the present invention, the output voltage is at five levels, and the output equivalent frequency is four times the switching frequency, thereby improving the conversion efficiency of the inverter, reducing the output voltage or current harmonics, and reducing the volume of filter inductors; and the modulation method in the present invention is simple, so that the design of the controller can be simplified.

A pulse-width modulator (401) comprising a pulse generator (402) configured to generate, at a switching frequency, a pulse-width modulated waveform for synthesising an analog waveform, and a clock unit (403) configured to control the switching frequency and to, while the pulse generator (402) is generating a series of pulses that represents a single respective period of the analogue waveform, change the switching frequency such that at least one pulse in every series is generated at a different switching frequency from other pulses in that series.

The invention discloses an electrosurgical radio frequency inverter based on model predictive control and a frequency conversion control method thereof, and the method comprises the steps: building a discrete output voltage prediction model based on a topological structure of the electrosurgical radio frequency inverter, and judging a switching frequency switching point and voltage peak output power through single sampling period iterative calculation. Constructing an output power prediction model; obtaining instantaneous prediction output power and theoretical reference output power obtained by real-time sampling and calculation when the output voltage is changed to a periodic peak value, and constructing a model prediction control evaluation function; according to the evaluation function, real-time voltage sampling and multi-frequency iteration prediction are combined with a set control target, the switching frequency of the radio frequency inverter is predicted and updated in real time, and constant-power frequency conversion control over the radio frequency inverter is achieved by continuously obtaining the control quantity at the next moment. The system can adapt to constant power output of a power supply under biological impedance change, can predict and control constant power output of an electrosurgical inverter in real time based on real-time updating of switching frequency, has good dynamic response performance, guarantees high efficiency and safety of clinical operations, and can be applied to various electrosurgical working platforms.

The invention belongs to the technical field of induction cookers, and discloses a low-power continuous electromagnetic heating technology and an induction cooker, the resonant frequency of an LC resonant circuit is designed to be greater than 18kHz, and a SiC MOSFET device works at a switching frequency higher than the resonant frequency, so that the low-power continuous electromagnetic heating technology is realized. The intermittent heating problem of'stop-start-stop-start 'caused by too small duty ratio during low-power heating of the existing induction cooker is effectively solved; according to the technical scheme, the power-duty ratio mapping data is obtained through the MCU module, and the duty ratio and the pulse width of the PWM signal are accurately calculated according to the target power, the target switching frequency and the timer clock frequency, so that continuous and stable energy output is realized under low power; the electromagnetic oven can effectively solve the problems of intermittent heating, unstable circuit work, increased energy consumption and noise of the existing electromagnetic oven during low-power heating.

The invention relates to the technical field of industrial automatic measurement and control communication, and particularly discloses multi-protocol fusion intelligent measurement and control host equipment, which comprises a data acquisition module, a health assessment module, a thermal simulation module and a cooperative control module. The equipment adopts a dual-core hardware architecture with a bottom plate and a top plate, integrates seven communication interfaces, realizes multi-protocol parallel processing through a hardware accelerator and a FreeRTOS system, the protocol switching time does not exceed 10ms, and the health assessment module adopts an online incremental learning recurrent neural network to calculate the health state index of the super capacitor module in real time, so that the super capacitor module can be used as the health state index of the super capacitor module. The thermal simulation module predicts the thermal runaway risk level based on an embedded finite volume method, and the cooperative control module dynamically adjusts the rotating speed of a fan and the switching frequency of a power supply by adopting a Nash equilibrium optimization algorithm, so that early performance attenuation recognition, thermal runaway risk prediction and intelligent cooperative control of the super-capacitor module in an extreme environment are realized. And the reliability and the safety of the system are obviously improved.