302 results about "Positive feedback" patented technology

Disclosed is a binarized neural network circuitry using a quasi-nonvolatile memory device. More particularly, the binarized neural network circuitry according to an embodiment of the present disclosure is characterized in that a diode structure is positioned in a channel region between a drain terminal and a source terminal, a gate terminal is positioned on the diode structure, an operation state is determined by occurrence of a latch-up or latch-down phenomenon due to a positive feedback loop in the channel region based on different voltages applied to the drain terminal and the gate terminal, respectively, and a plurality of quasi-nonvolatile memory devices that implement memory characteristics of remembering a memory state are included as holes or electrons in a potential well in the channel region due to the positive feedback loop are accumulated, and the plural quasi-nonvolatile memory devices are a pair of two quasi-nonvolatile memory devices that operate as a single synaptic cell and are connected in parallel to form an array circuit, memory states of the two quasi-nonvolatile memory devices are determined and stored based on an input line applied from an input line processor connected to the array circuit and a weight update signal applied from a synaptic line processor connected to the array circuit, and a MAC (multiply-accumulate) operation result is output using a combination of the memory states.

The invention relates to the field of curriculum personalized adjustment, in particular to a curriculum learning personalized adjustment method and system of an enabling system, and the method comprises the steps: obtaining user information and historical learning data of a user when a learning instruction of the user is received, and recognizing target curriculum data of the user according to the user information and the historical learning data; acquiring historical behavior data of the user, identifying a concentration attenuation trend of the user according to the historical behavior data, and segmenting the target course data into a plurality of course segments according to the concentration attenuation trend; when the user learns the curriculum segment, behavior data of the user is acquired in real time; judging the concentration feedback state of the user according to the behavior data; when the concentration feedback state of the user is positive feedback, generating a learning efficiency enhancement strategy and a composite excitation strategy; and when the concentration feedback state of the user is negative feedback, generating a cognitive load regulation strategy and a pressure balance strategy. The learning state of the user is judged according to the behavior data, and the system can flexibly adjust the learning strategy.

The invention belongs to the technical field of industrial control methods and systems, particularly discloses a cold working process parameter optimization and plate rolling control method based on artificial intelligence, and relates to the technical field of cold working forming and intelligent control. The method comprises the steps that historical process parameters and corresponding plate quality data are collected, an evaluation function is constructed, and a process weight value is output; optimal parameters are screened according to the process weight and imported into cold working equipment; the curvature distribution of the plate in the plate rolling process is monitored in real time, and the plate rolling state is recognized; and executing a maintenance strategy or a correction strategy according to the state, and fusing correction feedback to optimize subsequent parameters. According to the method, the plate rolling precision and the forming consistency can be remarkably improved, the abnormal state self-adaptive correction capacity is achieved, dependence on manual experience is reduced, and the method is suitable for various plate rolling devices and plate types and has good universality and popularization value.

The invention discloses a peak code modulation circuit based on a dynamic memristor, which comprises the dynamic memristor and a signal conversion module, and is characterized in that the signal conversion module comprises a signal isolation module, a feature extraction module and a pulse conversion module which are connected in sequence. The dynamic memristor generates a voltage signal with a slow-rising and steep-falling characteristic under constant current input. The signal isolation module comprises a high-impedance input buffer circuit; the feature extraction module comprises an asymmetric time constant signal processing circuit used for performing enhanced extraction on the steep drop feature of the memristor output signal; and the pulse conversion module comprises a dual-threshold positive feedback hysteresis comparison circuit and is used for converting the output signal of the feature extraction module into a rectangular digital pulse. The circuit is specially designed according to the characteristics of the memristor, is simple in structure, is easy to integrate, can achieve the efficient conversion from an analog signal to a standard digital pulse, and is suitable for the fields of neuromorphic calculation and low-power-consumption signal processing.

The invention discloses a positive feedback self-supervised learning method based on characterization of self-distribution and clustering attributes, and belongs to the field of computer vision, and the method specifically comprises the steps: firstly, building a joint embedded architecture JEA composed of a data enhancement module, an encoder, a projection head and an optional prediction head; then, an input set D of given images randomly samples a group of images and inputs the images into a data enhancement module to obtain enhancement results, then the enhancement results respectively pass through an encoder to obtain corresponding encoding results, and then the enhancement results respectively pass through a projection head to obtain corresponding projection results; for the online network, based on an output result of the projection head, calculating an output result after passing through the prediction head; calculating and optimizing a cross entropy loss function on the basis of an output result of each module of the joint embedded architecture JEA so as to update parameters of the JEA, and finally performing performance evaluation on the trained model on a computer vision task; according to the method, inherent clustering attributes of model coding are utilized, and the model performance is further improved through positive feedback learning.

The invention relates to the technical field of integrated circuits, in particular to a band-gap reference voltage source circuit with high-order compensation, which comprises a PTAT (proportional to absolute temperature) generation circuit, a high-order compensation circuit and a pre-voltage-stabilizing circuit, wherein the PTAT generation circuit generates PTAT current, and the high-order compensation circuit performs second-order compensation on the PTAT current; the pre-voltage-stabilizing circuit is used for driving the PTAT generation circuit and the high-order compensation circuit and comprises a starting circuit, a positive feedback loop and a negative feedback loop; the gain of the positive feedback loop is lower than that of the negative feedback loop; according to the band-gap reference voltage source circuit, the temperature coefficient and the power supply rejection ratio of the circuit are remarkably optimized by integrating high-order temperature compensation, a pre-adjusting power supply and a high-gain feedback loop, and the designed band-gap reference voltage source circuit has the advantages of being extremely low in temperature drift and high in precision.

The invention discloses a timing method and device, equipment and a medium, and relates to the technical field of communication. The method is applied to a first electronic device providing a reference clock, the first electronic device is in communication connection with at least two second electronic devices, and the method comprises the steps that for any second electronic device, a timing instruction is sent to the second electronic device based on the communication connection with the second electronic device, the timing instruction is used for indicating the second electronic equipment to start a broadcast scanning function; broadcasting operation is executed, and the broadcasting operation comprises the steps that according to the current clock of the first electronic equipment and the identity label of the first electronic equipment, a time correction expansion data packet is generated, and the time correction expansion data packet is broadcasted in an expansion mode once; and determining that the timing is completed under the condition that positive feedback which is sent by the corresponding second electronic equipment and represents that the timing expansion data packet is scanned is received based on each communication connection. Based on the method, the first electronic device can control clock synchronization of different second electronic devices.

The invention provides an electrostatic protection structure, a preparation method and an electrostatic protection circuit. The electrostatic protection structure comprises a substrate, a well region which is formed on the substrate and has a second doping type, a gate structure which is formed on the surface of the well region, and a drain region and a source region which are formed in the well region at two sides of the gate structure, the drain region at least comprises a first drift region with a first doping type, a first heavily doped region with the first doping type and a second heavily doped region with a second doping type, wherein the first heavily doped region and the second heavily doped region are formed in the first drift region at intervals; and the source region at least comprises a second drift region with the first doping type and a third drift region with the second doping type which are arranged at intervals, a fourth heavily doped region with the first doping type formed in the second drift region, and a fourth heavily doped region with the second doping type formed in the third drift region. A positive feedback loop is formed in the electrostatic protection structure, so that the amplified ESD current is discharged.

The invention relates to the field of user interaction technology, specifically a method and system for real-time feedback of live broadcast barrage based on interactive semantic matching. The method receives and caches user barrage in real time, performs density analysis and priority evaluation on the barrage stream in combination with filtering and resource optimization rules, dynamically adjusts the response frequency and filters key barrages; by introducing the intention unit of the distillation processing mechanism, extracts user intention labels from key barrages and generates vectors, and simultaneously obtains the historical behavior data of the sending user, integrates the intention label and vector with the current real-time scene data of the live broadcast room, and constructs a barrage vector; performs similarity calculation based on the live broadcast content and the user's historical behavior to obtain the first feedback content; generates the second feedback content based on the reinforcement learning sentiment analysis strategy and the user's preference memory; and embeds the second feedback content into the current live broadcast interface through the client. The present invention realizes real-time positive feedback and intelligent guidance of live broadcast barrage through interactive semantic matching.

The invention discloses a land freeze-thaw wind erosion simulation measurement device, which relates to the technical field of soil testing and comprises a testing box, and temperature controllers are symmetrically mounted at the top end of the inner side of the testing box. The functions of slope adjustment, displacement control and dynamic driving are integrated through linkage design, the frozen soil wind erosion testing efficiency and precision are remarkably improved, a slope adjustment mechanism is driven by a bevel gear set, a supporting frame is driven to move reversely through a reverse spiral groove, automatic adjustment of the inclination angle and orientation of the frozen soil slope is synchronously achieved, and manual procedures are reduced; the displacement mechanism drives frozen soil to perform horizontal displacement and vertical reciprocating motion through gear-fluted disc transmission, simulates dynamic interaction and dispersion erosion effects of a natural wind field, observes and reveals a wind erosion positive feedback mechanism in combination with micro-topography evolution, and improves data universality; the driving mechanism utilizes an electric push rod and a double-shaft motor to cooperatively control meshing switching of a bevel gear set and a movable / fixed gear, precise switching of gradient adjustment and a dynamic displacement mode is achieved, and testing continuity is guaranteed.

The invention discloses a complex system fault root cause analysis method and system based on a knowledge graph. The root cause analysis method comprises the steps of collecting fault data; the method comprises the following steps: retrieving similar document vectors and knowledge graph data, and fusing heterogeneous knowledge; integrating the generated heterogeneous fusion knowledge and fault data provided by a user into a reasoning text required by the LLM, and generating a report by the LLM through the generated reasoning text; scoring the report, and if the score is lower than a threshold value, triggering to regenerate the report; if the related engineer solves the corresponding fault according to the analysis report, forward feedback is carried out, and the analysis report and fault data are updated to the knowledge system; and if the scheme cannot solve the fault and the fault is solved manually, related engineers input the manually solved scheme into the scheme and update the knowledge system. The efficiency of the whole process is improved.

The invention discloses a DRU-MMC direct-current parallel sending-out system for offshore wind power and a control method, and aims at achieving high-economical-efficiency and high-efficiency electric power sending-out of deep and far sea wind power clusters. The system comprises a first offshore wind power plant based on a network construction type fan, a second offshore wind power plant based on a network following type fan, an offshore MMC converter station and an offshore DRU converter station. The offshore MMC converter station adopts a voltage-frequency control strategy added with active power-voltage amplitude negative feedback control and reactive power-frequency positive feedback control, the land MMC converter station adopts constant direct current voltage control, the first offshore wind power plant fan adopts network construction type control, and the second offshore wind power plant fan adopts network following type control. According to the direct current parallel sending scheme of the DRU and the MMC, the technical advantages of the MMC and the economical efficiency of the DRU are considered, the stability and reliability of the system are improved by adopting the specific control strategy, and the economical efficiency of the offshore wind power sending system is improved.

The invention discloses a user intention dynamic correction feedback system based on large model personalized recommendation, which comprises a fusion module, and the fusion module is used for constructing initial probability distribution of user intentions based on multi-modal interaction data. Multi-modal fusion and Dirichlet modeling are adopted, user intentions are captured in an omnibearing mode, the intention adjusting module is dynamically optimized according to the environment, intention understanding is made to be matched with scenes in real time and accurately meet user requirements, the aggregation module uses an attention mechanism, the importance of explicit and implicit feedback is automatically distinguished, multi-source information is efficiently integrated, and the user experience is improved. A reliable basis is provided for follow-up recommendation, key signals are focused, user preferences are comprehensively and efficiently grasped, a recommendation module is based on an accurately-corrected intention vector, exploration and utilization are balanced through a dobby machine algorithm, known preferences are met, potential interests are mined, the recommendation satisfaction degree is improved, and the recommendation efficiency is improved. Therefore, the adaptability and expansibility of the system are enhanced while the recommendation effect is improved.

The invention belongs to the technical field of integrated circuits, and particularly relates to a dynamic comparator suitable for a low-voltage high-speed analog-to-digital converter, the dynamic comparator adopts a three-stage latch circuit structure to realize rapid comparison of weak input signals so as to generate corresponding digital signals, and the method specifically comprises the following steps of: in a pre-amplification stage, pre-amplification is carried out; the positive feedback effect of the cross-coupled transistor pair is utilized to efficiently convert a tiny input voltage difference (lt; 10mV) into a recognizable voltage difference, and then through two-stage regeneration of the main latch module and the auxiliary latch module, a logic level is quickly output to complete quantization judgment. The auxiliary latch stage is additionally arranged on the basis of a traditional cross coupling latch circuit, the working speed of the comparator is effectively increased under the condition that only small area overhead is introduced, and the probability that the dynamic comparator has a metastable state is greatly reduced.

The invention relates to the field of data security, in particular to a network security intelligent detection method based on big data, and the method comprises the steps: collecting network flow data, a terminal system call sequence and a user operation behavior log, and carrying out the data fusion processing to generate a unified behavior event flow; selecting a key behavior event based on an information entropy threshold value, performing time alignment through a dynamic time warping algorithm, and constructing a behavior gene map containing a communication association gene, an operation sequence gene and a behavior time sequence gene; a dynamic behavior baseline model is established by using unsupervised learning, and gene mutation detection and alarm are realized by calculating the deviation degree of each gene dimension; the detection performance is evaluated based on the false alarm rate, model parameters are optimized through a negative feedback mechanism, and acknowledged attack features are stored in a sharable threat gene feature library through a positive feedback mechanism. According to the method, the detection accuracy is continuously improved through a closed-loop learning mechanism, and a self-adaptive safety protection system with self-optimization capability is constructed.

The invention provides a hysteresis comparator, and belongs to the technical field of electronics. The hysteresis comparator comprises an open-loop operational amplifier circuit and a positive feedback circuit; the positive feedback circuit comprises a switching tube device and a current source, the switching tube device is electrically connected with the open-loop operational amplifier circuit and the current source, and the positive feedback circuit is used for forming an internal positive feedback path with the open-loop operational amplifier circuit when the switching tube device is switched on and adjusting hysteresis voltage through the current source. According to the invention, the hysteresis voltage can be regulated through the current source, so that the stability of the hysteresis voltage is ensured.

The invention relates to a gradient perturbation optimization method for implicit matrix decomposition based on differential privacy, and belongs to the field of computer recommendation systems and the field of information security. An implicit feedback matrix composed of 0 and 1 is used for representing feedback data of a user to an item, 0 represents negative feedback, and 1 represents positive feedback. Randomly initializing a user implicit factor matrix W and a project implicit factor matrix H; a data set and a target function L (W, H) are constructed, W and H are optimized and solved by adopting a matrix decomposition method based on Bayesian personalized sorting, and a result W is stored. Randomly initializing a noise adding item implicit factor matrix # imgabs0 # and an initial record matrix # imgabs1 # by using the trained W, substituting the W into L (W, H), constructing a target function # imgabs3 # about # imgabs2 #, calculating a gradient # imgabs6 # of # imgabs4 # about # imgabs5 #, cutting the gradient by using a cutting threshold C, and obtaining an optimal privacy budget size lambda t in each round of training by using an overall mse calculation formula, then, the gradient is disturbed by using lambda t and the sensitivity of the gradient to obtain # imgabs7, the # imgabs8 is aggregated to obtain a cumulative gradient, and # imgabs9 is used for updating an item implicit factor matrix by using the cumulative gradient and # imgabs10; # imgabs11 is repeatedly updated to obtain a final item implicit factor matrix # imgabs12, and the final item implicit factor matrix # imgabs12 is distributed to each user; and the user u calculates a predicted value # imgabs13 on the equipment of the user u according to the predicted value, sorts unobserved interaction items in a descending order, and finally selects the first K items from the interaction items to recommend to the user u. The method has good privacy protection and model accuracy.

The invention discloses an AI field control intelligent review management method and system based on a live broadcast room, and belongs to the technical field of live broadcast room intelligent management. Collecting interactive data such as bullet screens, comments, gift reward and attention behaviors in a cross-platform manner through a process automation component, writing the interactive data into a cache layer and a database in a layered manner, and generating a traceable collection log; performing semantic recognition, sentiment analysis and violation detection on the interactive data by utilizing a pre-trained language model, and classifying the interactive data into positive feedback, question consultation and violation content; generating a standardized lethal reply for the positive feedback, calling a large model for question consultation to generate a personalized reply in combination with a knowledge base, and performing risk control filtering before reply pushing; based on priority strategy differentiation response interaction, automatic protection is triggered for illegal content, and field control and review links are interlocked and coordinated; feedback data and historical data are collected, and system parameters are iteratively optimized through reinforcement learning. According to the method, automatic acquisition, intelligent analysis, precise review and cooperative field control of interaction in the live broadcast room are realized, the interaction processing efficiency and the content compliance are greatly improved, continuous iterative optimization can be realized, and the multi-platform and multi-scene live broadcast operation requirements are effectively met.

The utility model relates to the field of testing, in particular to a testing device and a testing system, in the testing device, a first load end of a phase-shifted full-bridge unit is connected to a first end of a primary winding of each transformer, and a second load end of the phase-shifted full-bridge unit is connected to a second end of the primary winding of each transformer; the phase-shifted full-bridge unit is used for converting direct-current voltage output by the direct-current power source into alternating-current voltage, secondary windings of all the transformers are connected to the first testing end and the second testing end of the corresponding testing circuit, and the first testing end and the second testing end are used for outputting testing signals to test the corresponding testing circuit. The positive feedback end of each test circuit is connected to the second end of the feedback module, and the negative feedback end of each test circuit is connected to the negative electrode of the DC power supply. According to the embodiment of the utility model, the aging test can be carried out on a plurality of test circuits, and the device has the characteristics of low equipment complexity and cost.

The application provides a comparator and a decision feedback equalization circuit, comprising a first input circuit, which is used for generating a first differential signal according to an input signal and a first reference signal under the control of a control signal; a first positive feedback circuit, which is used for accelerating the difference between the first differential signal; a second input circuit, which is used for generating a second differential signal according to the input signal and a second reference signal under the control of the control signal; wherein the first reference signal is greater than the second reference signal; a second positive feedback circuit, which is used for accelerating the difference between the second differential signal; and an output circuit, which is connected with the output end of the first input circuit and is used for amplifying and latching the voltage signal of the output end of the first input circuit or the voltage signal of the output end of the second input circuit in a regeneration stage to output a comparison result. The response rate of the comparator in the application is high, the power consumption is small, the working voltage is low and the inter-symbol interference can be eliminated.

The invention discloses a low-mismatch ultra-wideband active balun, which belongs to the technical field of analog integrated circuits and comprises a first-stage amplifier and a second-stage amplifier which are sequentially arranged. The first-stage amplifier adopts a differential structure, and finally conversion from a single-end signal to a constant-amplitude and anti-phase differential signal is achieved. The second-stage amplifier isolates the influence of a rear-stage load on a front stage, and the symmetry of differential signals is ensured. In the second-stage amplifier, a seventh NMOS transistor and a tenth NMOS transistor form positive feedback; by introducing the cross coupling capacitor, the gate-source voltage difference between the eighth NMOS transistor and the ninth NMOS transistor is increased, voltage recovery is formed, compared with a traditional active balun, the second-stage amplifier reduces phase and amplitude mismatch of an output signal through positive feedback, meanwhile, the bandwidth is expanded, and therefore the bandwidth is increased. And the grid source signal amplitude is increased by utilizing source electrode voltage recovery, the equivalent transconductance is enhanced, and the phase and amplitude of the output signal are further stabilized.

The application provides a common-source common-gate amplifier, comprising a signal input module, which is used for generating an input signal according to a power supply voltage; a cross-coupling module, which is electrically connected with the signal input module and is used for forming internal positive feedback according to an output signal; a first biasing module, which is electrically connected with the cross-coupling module; a first branch module, which is electrically connected with the first biasing module; a second biasing module, which is electrically connected with the cross-coupling module; a second branch module, which is electrically connected with the second biasing module; wherein the first biasing module and the second biasing module are used for providing biasing after an input common-mode feedback voltage, the first branch module and the second branch module are used for providing large-swing output biasing, and the first branch module and the second branch module are respectively electrically connected with the signal input module, and the signal input module is further used for outputting branch signals to the first branch module and the second branch module. The application improves the voltage swing, the gain and the bandwidth of the circuit under the single-stage amplifier structure.

This invention relates to the field of integrated circuit technology and discloses a three-stage positive feedback comparator circuit and electronic device based on fast timing. The circuit includes a first-stage positive feedback module, a second-stage triggering and clocking module, a second-stage positive feedback amplification module, and a third-stage positive feedback latching module. By employing a three-stage positive feedback structure, this invention places the corresponding differential signal nodes in the same feedback loop at each stage, significantly enhancing the comparator's amplification rate and metastability suppression capability. Furthermore, by introducing a fast timing control mechanism, the second-stage amplification, clock reset generation, and third-stage latching operations can be executed in parallel, effectively shortening the critical path delay and significantly improving the overall comparison speed. The electronic device includes the aforementioned comparator circuit. This invention effectively solves the bottlenecks of traditional comparators in terms of speed and reliability and is suitable for high-speed, high-precision data conversion systems.

The present invention relates to an infrared temperature correction method based on difference compensation and control signal feedback, comprising the following steps: S1, synchronously collecting the target area temperature T detected by n infrared temperature measurement modules arranged in a low-temperature plasma generator i ; S2, calculate the difference in target area temperature detected by different infrared temperature measurement modules, and determine whether all the differences are less than the preset threshold; if so, go to step S3; if not, go to step S4; S3, calculate the average value of the target area temperature as the final target area temperature; S4, the target area temperature T i Compare with the preset target temperature range to obtain n control signals; adjust the target temperature T based on the feedback of the control signals. i Corresponding weight; S5, according to the adjusted weight and target temperature T i The final target area temperature is calculated. The present invention applies weights to each infrared temperature measurement module and dynamically adjusts the weights in combination with positive feedback of the control signal to achieve precise temperature control of the target area.

The present disclosure provides a differential hysteresis comparison circuit and method, which comprises: a differential input circuit for inputting a first differential signal and a second differential signal; a positive feedback hysteresis circuit connected with the differential input circuit, for comparing the first differential signal and the second differential signal to obtain a differential comparison result, outputting a first comparison result signal when the differential comparison result is greater than a first threshold voltage, outputting a second comparison signal when the differential comparison result is less than a second threshold voltage, the first threshold voltage being greater than the second threshold voltage; and an output stage circuit connected with the positive feedback hysteresis circuit, for converting the first comparison result signal or the second comparison result signal into a single-ended signal output.

This invention belongs to the field of solid oxide fuel cell control and optimization technology, and particularly to a dual-input model predictive control method for solid oxide fuel cells with carbon deposition constraints. It includes the following steps: S1: Constructing a DIR-SOFC controlled object model with 11 state variables; S2: Solving for the optimal control increment through sequential quadratic programming; S3: Constructing a constraint system; S4: Introducing an adaptive setpoint for the output voltage that adjusts linearly with the load current density. The model dimension of this invention is expanded from the existing 3 states to 11 states, fully covering six gas phase partial pressures, bilinear coupling of carbon accumulation and catalyst activity, and three-zone thermal dynamics. The ODE white-box prediction engine accurately reflects MSR nonlinearity and positive feedback of carbon deposition. Compared with ARMAX black-box prediction, the error is reduced from approximately 3% to less than 0.8%, with an average single-step calculation time of 133ms, meeting the real-time constraint of a 1s sampling time.

This invention provides an AI-predictive control-based intelligent braking system for a CNC rotary table, belonging to the fields of intelligent manufacturing and CNC technology. It solves the problems of lag response, lack of intelligent prediction and adaptive capabilities, insufficient control precision, and long-term performance degradation found in existing CNC rotary table braking systems. This AI-predictive control-based intelligent braking system for a CNC rotary table includes a state acquisition module, an AI prediction module, a pressure control module, a wraparound braking execution structure, and a feedback correction module. By introducing an AI prediction mechanism and a self-correcting feedback loop, this invention achieves intelligent, adaptive, and highly responsive braking control, improving the positioning accuracy, braking stability, and overall energy efficiency of the CNC rotary table. It boasts advantages such as significantly improved response speed, high positioning accuracy, strong adaptive capability, smooth braking process, and high level of intelligence.

The pressure reducing valve heater temperature control circuit comprises a temperature control module, a switch module and an induction module, the induction module is suitable for recognizing the outlet temperature of a pressure reducing valve and correspondingly releasing a positive feedback signal or a negative feedback signal according to the recognized temperature, and the switch module is suitable for controlling the heater to be connected or disconnected with a power source. The temperature control module is suitable for identifying the positive feedback signal and the negative feedback signal so as to respectively drive the switch module to connect and disconnect; through the synergistic effect of the temperature control module, the switch module and the sensing module, automatic opening and closing of the heater can be guaranteed, so that the temperature of the pressure reducing valve is kept within a set range, overheating or supercooling is avoided, and it is guaranteed that the pressure reducing valve works stably.

The present application belongs to the field of permanent magnet synchronous motor control technology, and relates to a kind of permanent magnet synchronous motor torque ripple compensation control method, comprising: acquisition stator phase current and cross axis given current, generate cross axis and straight shaft feedback current by coordinate rotation transformation;Extract cross axis and straight shaft harmonic current;According to the period difference of cross axis current feedback residual error, calculate cross axis time delay distortion coefficient;The coefficient is in situ input coordinate rotation transformation correction rotor electric angle, and combine electric angle change rate to calculate phase angle advance compensation angle;Using the angle to calibrate harmonic current space phase to synthesize offset current instruction and superimposed output, the present application eliminates control loop timing response lag, makes compensation current maintain spatial orthogonal state with rotor harmonic magnetic field under variable speed condition, avoid positive feedback excitation, guarantee the steady convergence and stability of closed loop.

This invention relates to the field of permanent magnet synchronous motor (PMSM) design technology, and discloses a method and device for integrated collaborative optimization design of the rotor magnetic circuit of a PMSM. The method includes: collecting time-series data of multi-source vibration and electromagnetic load under heavy-load conditions of forklift operation, and constructing a dynamic excitation phase space mesh for the rotor interface; performing multi-field coupled response simulation based on the mesh to drive a parameterized rotor model, generating a structural eddy current coupled simplex complex; constructing a combined constraint and sub-mode gain model for robust magnetic circuit optimization based on the complex, generating a geometrically reinforced candidate solution set; performing multi-objective collaborative convergence and three-dimensional model generation under the constraints of the candidate solution set, and outputting an anti-disturbance optimized rotor structure. This invention solves the problem that existing technologies cannot cope with dynamic multi-field positive feedback under complex forklift operating conditions, leading to decreased efficiency and low reliability of the motor during continuous operation, thus enabling the motor to adapt to forklift operation requirements.