470 results about "Negative feedback" patented technology

The invention relates to the technical field of robot control, and discloses a mechanical arm trajectory planning control method and system based on a BAFARNN model. The method comprises the steps that a mechanical arm kinematics model is established, and a trajectory tracking problem is converted into a time-varying equation; designing a bounded adaptive function to activate a recurrent neural network model, defining an error function and constructing a dynamic equation; designing a piecewise adaptive coefficient function, and dynamically adjusting the gain according to an error norm and time; setting a Lissajous curve as an expected trajectory, and initializing a simulation environment; the joint speed is solved in real time through an ODE numerical method, and the mechanical arm is driven to move; actual motion data is collected and compared with an instruction, and closed-loop feedback control is triggered when the actual motion data exceed a threshold value. According to the method, rapid convergence is achieved through the piecewise adaptive coefficient function, the bounded activation function and the negative feedback mechanism are adopted to suppress noise, and high-precision and real-time trajectory tracking of the mechanical arm in the dynamic environment is achieved.

The invention provides an outbound routing method and system based on multi-dimensional index coupling and large model decision, and the method comprises the steps: carrying out the preprocessing of the historical data of each line provider, predicting the future performance index through an LSTM neural network, and optimizing the prediction result through a Kalman filter, and eliminating the noise. In the route decision-making link, the system calculates the Q value of each line provider based on the deep Q learning network, comprehensively considers the call completing rate, average cost, negative feedback rate and other factors of each line provider, and intelligently selects the optimal line provider in combination with the user portrait, scene recognition and real-time load state. The system also constructs a complete feedback closed loop, continuously optimizes the model by collecting call result data, and automatically adjusts decision parameters. The call completing rate and the service quality of the outbound service are improved, and the communication cost is reduced.

The invention relates to a product recommendation optimization method based on user portrait dynamic updating, which comprises the following steps: acquiring user behavior sequence data, and analyzing based on behavior consistency indexes including time interval, intention change rate and interest inversion degree; when it is detected that the behavior path has a fault, frequent switching or reverse direction, revoking the update of the path to the user portrait and marking the path as a low credible behavior segment; before user portrait updating is triggered, the portrait mutation risk is judged according to the feature distribution difference between the current behavior and the historical portrait, the behavior uniqueness and the conversion closed loop condition, and when mutation is found, portrait updating is frozen and recorded to a to-be-verified sequence; based on self-consistent state recognition of a historical behavior track, local increment updating is carried out on a staged portrait dimension consistent with a current behavior; and before the recommendation result is generated, performing consistency evaluation on the recommendation target and the user portrait intention, if the alignment degree is lower than a preset threshold value, adjusting or reconstructing the recommendation content, and correcting the deviation label according to continuous negative feedback.

The invention relates to the technical field of industrial valve control, in particular to a floater control-based remote control and monitoring system for a quick-switching blind plate valve, which comprises a data acquisition unit, a cross-dimension data analysis unit and an instruction generation and feedback unit, and is characterized in that the data acquisition unit constructs a three-dimensional motion matrix through a floater trajectory tracking algorithm; an effective pressure fluctuation period is extracted in combination with a pressure-temperature coupling denoising algorithm, a cross-dimension data analysis unit extracts time-frequency fusion features by using a residual convolutional neural network, and dual verification of a fluid phase state is realized through a support vector machine and a dynamic time warping algorithm; and the instruction generation and feedback unit triggers a standard control strategy or a self-learning compensation mechanism according to the confidence coefficient, and corrects control deviation through a negative feedback optimization coefficient matrix, so that the problems of insufficient multi-source data fusion and poor complex working condition adaptability in the traditional technology are solved, accurate remote control and intelligent monitoring of the quick-switching blind plate valve are realized, and the working efficiency of the quick-switching blind plate valve is improved. And the leakage early warning success rate and the valve action reliability are improved.

The invention discloses an ultrahigh-precision low-noise band-gap reference circuit, and relates to the technical field of integrated circuit design, the ultrahigh-precision low-noise band-gap reference circuit comprises a starting turn-off circuit, a reference core circuit, a high-order temperature compensation circuit and a digital trimming circuit, the starting turn-off circuit is connected with the reference core circuit, and the high-order temperature compensation circuit is connected with the digital trimming circuit through a Brokaw type band-gap reference topological structure. Accurate compensation of the voltage is achieved through deep negative feedback of the operational amplifier and a high-order temperature compensation circuit, and the temperature drift of the reference voltage is as low as 0.5-2 ppm / DEG C (-40 DEG C to 130 DEG C) and is increased by 5-10 times compared with a traditional band-gap reference (5-10 ppm / DEG C). The power consumption of the system can be saved by turning off the circuit when the circuit is not used, meanwhile, the digital trimming module is added to replace laser trimming in traditional engineering, the upper limit of the trimming range is improved, high-order temperature compensation and the digital trimming circuit are introduced, the precision of output voltage is improved, different devices are replaced, and the noise of the circuit is reduced. The problems that a traditional high-voltage band-gap reference temperature coefficient is high and noise is large are solved.

The invention discloses an ultra-wideband high-linearity power amplifier with a negative feedback structure. The ultra-wideband high-linearity power amplifier comprises an input matching network, a driving-stage amplifying circuit, an inter-stage matching network, a power-stage amplifying circuit, an output matching network, a negative feedback RLC (Radio Link Control) network and a self-adaptive biasing circuit, an input radio-frequency signal is transmitted to the driving-stage amplification circuit through the input matching network for primary amplification, transmitted to the power-stage amplification circuit through the inter-stage matching network for secondary amplification and output through the output matching network, and the driving-stage amplification circuit comprises a first transistor and a second transistor. The power level amplification circuit comprises a third transistor and a fourth transistor; the self-adaptive bias circuit is used for providing self-adaptive bias voltage for the first transistor and the third transistor; the negative feedback RLC network is used for controlling the gain and bandwidth of the amplifier and comprises a driving-stage negative feedback network and a power-stage negative feedback network. The working bandwidth of the power amplifier can be widened, and the gain, the output power and the linearity of the amplifier can be improved.

The invention discloses a manned aircraft / unmanned aerial vehicle pursuit deep learning control method simulating a pigeon positive and negative feedback mechanism. The method comprises the following steps: step 1, giving mathematical models of a manned aircraft and an unmanned aerial vehicle and performing environment initialization; step 2, building a quaternion PID controller of the unmanned aerial vehicle; 3, a manned aerial vehicle / unmanned aerial vehicle hierarchical decision-making architecture is established; step 4, mathematical modeling of a pigeon positive and negative feedback mechanism; 5, designing a manned aerial vehicle / unmanned aerial vehicle cluster reward function simulating positive and negative feedback of the pigeon flock; 6, planning and designing an escape unmanned aerial vehicle path; step 7, predicting an escape unmanned aerial vehicle path; and 8, generating a manned aerial vehicle / unmanned aerial vehicle cluster pursuit learning strategy based on the actor-commentator network. According to the invention, an efficient, flexible and extensible bionic intelligent pursuit control framework is constructed, and the pursuit task execution efficiency and cooperative combat capability of the manned aerial vehicle / unmanned aerial vehicle heterogeneous cluster in a complex dynamic environment are improved.

The invention relates to the technical field of e-commerce logistics and supply chain management, and discloses a multi-channel e-commerce platform order processing optimization system and method, and the method comprises the steps: correcting physical inventory data through a Lagrange dual variable fed back in a previous period, calculating a virtual inventory, and receiving a discrete order flow; constructing a space-time hypergraph model of the to-be-processed order according to the commodity homogeneous attribute and the spatial neighborhood attribute; performing constraint optimization solution on the hypergraph model based on a Lagrangian relaxation algorithm, and generating an optimal order allocation matrix meeting productivity constraints and a Lagrangian dual variable of a current period; and analyzing the distribution matrix to generate an operation instruction, issuing the operation instruction to the physical warehouse, and feeding back the dual variables to the inventory calculation module. According to the method, collaborative operation benefits are mined through the space-time hypergraph, and a negative feedback closed loop with physical capacity pointing to front-end sales is constructed by using dual variables, so that performance cost optimization and flow adaptive control are realized.

The invention relates to a voltage output method and system based on a high-voltage power supply widening controller, and belongs to the technical field of high-voltage power supplies. The method comprises the following steps: acquiring a wide-range voltage parameter, and dividing a frequency control region and a pulse width modulation control region of a high-voltage power supply through an arbitration control algorithm to obtain switching judgment information of a power supply working region; constructing a working area switching logic according to the resistance-capacitance network, executing the working area switching logic through a frequency pulse correlation algorithm, coordinating the pulse width and the working frequency, and generating a double-modulation execution signal; a closed-loop negative feedback mechanism is established, and a wide-range overvoltage-free voltage regulation and control instruction is obtained by combining a proportional-integral compensation circuit with a resistance measurement full-right control working frequency and a pulse width; and broadening the output voltage range and inhibiting the overshoot voltage through power supply power driving, coordinating the working frequency and the pulse width in combination with the wide-range overvoltage-free voltage regulation and control instruction, and outputting the wide-range voltage of the high-voltage power supply.

The invention relates to the technical field of electric digital data processing, and discloses a data processing system for message management, which comprises a look-ahead buffer unit for maintaining a sliding window with variable window size parameters and pre-reading a message sequence; the mapping logic circuit is used for converting the resource identifier into a resource request mask; the state register is used for storing a global occupancy bitmap for representing resource occupancy; the scheduling controller is used for distributing messages according to bit operation results, counting bitmap setting quantity based on the population counting instruction to generate a resource saturation index, and then adjusting window size parameters in a negative feedback mode. The resource contention entropy value is directly sensed by utilizing a hardware instruction, nanosecond-level self-adaptive breathing control of a scheduling window is realized, and the service life of the scheduling window is prolonged. The problem of physical computing power collapse caused by bitmap scanning jitter in a high-concurrency scene is solved.

The invention provides a self-adaptive ripple suppression circuit based on an MOSFET, and relates to the technical field of electronic circuits. The circuit comprises an input alternating current end EMC filtering surge protection circuit, a rectification circuit, an absorption protection filtering circuit, a clamping absorption circuit, a detection protection circuit, a control circuit, a power follow current circuit, an output filtering circuit, a stroboflash removing circuit and an LED load circuit which are connected in sequence. Under the condition that the MOSFET self-adaptive ripple suppression circuit is in a working state, voltage at the two ends of the sampling resistor is fed back to a grid electrode and a source electrode of the MOS tube, on-resistance of the MOS tube is adjusted through change of the sampling voltage on the basis of the characteristic that the MOS tube works in a variable resistance area, and output current ripples are dynamically suppressed. The circuit has excellent adaptive capacity, can dynamically suppress output current ripples in a wide load range through a simple simulation negative feedback loop, and is quick in response.

The invention discloses a high-linearity low-noise amplifier based on harmonic suppression, relates to the field of communication and the technical field of electronic devices, and is used for solving the problem that the noise coefficient of an existing Darlington structure is large. Comprising a noise matching and input matching network, a linearity enhancement structure, a negative feedback structure and a pre-distortion structure. Wherein the linearity enhancement structure at least comprises a first amplification transistor and a second amplification transistor which are arranged in parallel, and is used for improving the linearity of the circuit through harmonic cancellation; the negative feedback structure is connected with the noise matching and input matching network and the pre-distortion structure and is used for expanding circuit bandwidth and optimizing output matching; the pre-distortion structure is used for stabilizing the bias voltage of the third amplification transistor. According to the invention, the linearity of the whole circuit is effectively improved, and the source microstrip lines of the two circuits are utilized to improve the minimum noise matching and improve the noise performance. Noise is reduced, linearity is improved, low-frequency gain is suppressed, and bandwidth of the whole circuit is improved.

The invention discloses a high-side driving circuit and a vehicle body controller. The high-side driving circuit relates to the field of vehicle body controllers, and solves the problem that the existing high-side driving circuit cannot meet the requirements of low cost and high reliability. The switching circuit adopts a combined structure of switching tubes and is connected in series between a power supply and a load, and more stable on-off control is realized through cooperation of multiple tubes; the starting threshold circuit responds to an external control signal only when the load impedance meets a preset threshold value, and large-current load driving in the starting stage or forced starting during load abnormity is carried out. The over-current threshold circuit is connected in series with a driving loop of the switching circuit and provides constant over-current turn-off. A voltage negative feedback circuit is introduced into the voltage and potential stabilizing module to realize self-turn-off and keep a turn-off state when overcurrent and short circuit occur, and self-recovery is realized after a fault disappears without depending on logic judgment of an external control unit. The port protection module absorbs the instantaneous high voltage and the surge current. Through the characteristics, the current-carrying capability of the triode is improved, and the application range of the triode switching circuit is widened.

The invention relates to the technical field of conversion circuits, and provides a converter drift suppression front-end circuit and a drift suppression method, and the circuit comprises a first signal processing circuit and a second signal processing circuit which are symmetrically distributed, and a high-frequency path and a low-frequency path which are arranged between the first signal processing circuit and the second signal processing circuit; wherein a normal-phase input signal forms a first node signal after passing through the first signal processing circuit, and a reverse-phase input signal corresponding to the normal-phase input signal forms a second node signal after passing through the second signal processing circuit; the first node signal and the second node signal are respectively input into a normal-phase input end and an inverted-phase input end of a converter CTLE through the high-frequency path or the low-frequency path; and the low-frequency path comprises a fully differential amplifier with resistance proportion negative feedback. According to the invention, baseline drift can be effectively suppressed, so that the stability of converter receiving end signals is improved.

The invention discloses an intelligent control system and method for an active fire extinguishing device of a high-voltage switch cabinet, and the system comprises the steps: collecting multi-source heterogeneous environmental parameters in the cabinet, carrying out the LoRa wireless transmission, introducing a dynamic thermal drift compensation mechanism based on an Arrhenius model, and carrying out the zero drift correction and sensitivity dual compensation of the original data of a sensor. A high-fidelity physical monitoring value is reconstructed through high-order polynomial nonlinear mapping, and the risk of false alarm and missing alarm caused by thermal-sensitive coupling is eliminated. After a fire hazard is recognized, the block type fire extinguishing device is excited in a linkage mode, inert gas and free radical groups are instantaneously released through an oxidation-reduction reaction to conduct total flooding type suppression, negative feedback adjustment and automatic termination of the reaction rate are achieved according to the environment temperature change, and therefore accurate early warning is ensured, and meanwhile the safety of the fire hazard is improved. Efficient blocking and reset safety protection of live-line fire disasters are realized.

The invention provides a reference voltage circuit and a DCDC converter, and relates to the technical field of semiconductors. The reference voltage circuit comprises a band-gap reference module and an operational amplifier module, the operational amplifier module is configured to enable the band-gap reference module to output initial reference voltage based on negative feedback operation, the operational amplifier module is configured with a first group of chopping switches, the band-gap reference module is configured with a second group of chopping switches, the first group of chopping switches has a first switching signal period, and the second group of chopping switches has a second switching signal period. The second group of chopping switches has a second switching signal period, and one of the first switching signal period and the second switching signal period is nested with the other one, so that error signals generated by the band-gap reference module and the operational amplifier module are reversely superposed; and the low-pass filtering module is configured to perform low-pass filtering on the initial reference voltage. According to the technical scheme, the reference voltage circuit meeting the requirement of a high-precision analog integrated circuit for the reference voltage can be obtained.

The invention discloses a tilt dual-rotor aircraft attitude control method, which belongs to the technical field of unmanned aerial vehicle control, and comprises the following steps: establishing a dynamic model with center-of-gravity offset and a propeller disc coordinate system; a reference coordinate system fed back by attitude control of the tilting dual-rotor aircraft is transferred from an aircraft body coordinate system to a propeller disc coordinate system; the angle control ring adopts a paddle disc inclination angle of a paddle disc surface relative to the ground as negative feedback; the angular velocity control loop adopts the body angular velocity under a paddle disc coordinate system as angular velocity negative feedback; finally, the angular velocity control loop is subjected to proportional differentiation and then is subjected to feed linear superposition with a paddle disc inclination angle to be output to a dynamical model of a motor and a steering engine, and a control loop is achieved. According to the tilting dual-rotor aircraft, the minimum phase problem and the gravity center offset instability problem of an existing tilting dual-rotor aircraft are solved, the gravity center offset resisting capacity is improved, robustness is high, and response is fast.

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 present disclosure relates to systems, methods, and non-transitory computer readable media that utilize collaborative filtering and a reinforcement learning model having an actor-critic framework to provide digital content items across client devices. In particular, in one or more embodiments, the disclosed systems monitor interactions of a client device with one or more digital content items to generate item embeddings (e.g., utilizing a collaborative filtering model). The disclosed systems further utilize a reinforcement learning model to generate a recommendation (e.g., determine one or more additional digital content items to provide to the client device) based on the user interactions. In some implementations, the disclosed systems utilize the reinforcement learning model to analyze every negative and positive interaction observed when generating the recommendation. Further, the disclosed systems utilize the reinforcement learning model to analyze item embeddings, which encode the relationships among the digital content items, when generating the recommendation.

The invention relates to the technical field of retrieval enhancement, in particular to a big language model-based dynamic knowledge retrieval enhancement method, which comprises the following steps of: acquiring theoretical regulations and actual operation data of an unmanned aerial vehicle, and driving a model generation request; monitoring the reasoning text stream in real time, intercepting a logic triple to perform causal verification, and constructing negative feedback prompt blocking and resetting for unsupported logic; executing double-track system dynamic retrieval aiming at regulations and data, evaluating content conformity by utilizing reflection Token and executing conflict resolution correction; and generating a fault hypothesis by adopting tree decoding, constructing an anti-fact query to retrieve the evidence of the security, and pruning the path with the evidence of the security to determine a final path. According to the method, illusion is effectively blocked through real-time logic verification and a negative feedback mechanism, double-track retrieval and anti-fact pruning are combined, strict alignment between the reasoning process and physical facts and theoretical regulations is ensured, and the accuracy and credibility of fault diagnosis are remarkably improved.

The invention relates to the technical field of unmanned aerial vehicle cluster management, and discloses an unmanned aerial vehicle energy management optimization system based on a dynamic demand, which comprises a value potential field generation module, a broadcast module and a decision-making system arranged in an unmanned aerial vehicle, and is characterized in that the decision-making system generates a gravitation control instruction according to the gradient of a predictive value potential field; the method comprises the following steps that: a value gravity and density repulsive force real-time coupling instruction is established, the instruction can trigger an accompanying trend of unmanned aerial vehicle aggregation, meanwhile, a system generates a repulsive force adjustment parameter antagonistic to the gravity by sensing local unmanned aerial vehicle density, and finally, a net movement instruction is generated according to a counterbalance relationship between the repulsive force adjustment parameter and the gravity repulsive force adjustment parameter, and the value gravity and density repulsive force real-time coupling closed-loop self-adjustment mechanism is established; therefore, the problems of excessive resource aggregation and internal consumption inevitably caused by pure taxis guidance are solved, and an unmanned aerial vehicle cluster is changed from a system which is possibly unstable due to positive feedback into a steady-state ecological system which has macroscopic negative feedback regulation capability and can maintain low-entropy orderliness.

The invention discloses an electric power field multi-step intelligent reasoning question answering system and method based on problem decomposition and self-adaptive iteration mixed retrieval, and aims to solve the problems that existing electric power question answering is complex, problem reasoning is not coherent, multi-step knowledge association is weak, retrieval noise is large, and electric power safety regulations are prone to being violated. The method comprises the following steps: S1, constructing a'question-thinking chain-answer 'fine tuning data set in the power field, and performing fine tuning on a Qwen3-32B model; s2, disassembling the complex problem of the user into an ordered sub-problem sequence; s3, dynamically judging a retrieval demand based on an electric power professional vocabulary library, and generating an intermediate answer by adopting sparse and dense fused mixed retrieval; and S4, verifying the candidate answer through the electric power safety regulation hard logic constraint library, and triggering negative feedback regeneration if the candidate answer is illegal until a safety compliance answer is output. According to the method, the accuracy, traceability and safety compliance of complex fault diagnosis and operation guidance questions and answers are improved through'adaptive iterative hybrid retrieval + safety regulation hard constraint 'closed loop.

The invention discloses a code review assisting method and system based on a large model. The system is in butt joint with a code review platform, and after a patch set change event is received, codes are detected out and engineering snapshots are constructed. And the LLM agent interacts with the large language model, calls an LSP client to obtain diagnosis and call chain information when static analysis is needed, and feeds an observation result back to the model to generate an examination conclusion. And when the LSP returns an error, a negative feedback mechanism is triggered, the model is guided to correct parameters and symbols, and illusion is reduced. And the review conclusion is converted into comments and automatically published to the platform, so that high-risk change automatic identification is realized, the manual workload is reduced and the accuracy is improved.

The invention discloses a seamless range switching system and a seamless range switching method for instrument current measurement. The seamless range switching system comprises a digital-to-analog converter, an error amplifier, a first driving circuit, a first current measurement circuit, a clamping circuit, a second driving circuit, a second current measurement circuit, two analog-to-digital converters and a field programmable gate array. The first current measuring circuit converts 10 [mu] A to 30 mA low current into a first voltage signal to form a negative feedback closed loop. When the first voltage signal reaches a Zener breakdown threshold value, the clamping circuit outputs a trigger signal to start the second driving circuit, so that the two driving circuits jointly provide a total current of 30mA to 500mA for the load; the two analog-to-digital converters perform synchronous sampling, and the field programmable gate array selects digital signal output which is in a linear measurement range and has an error not exceeding + / -0.05% of a full scale. No mechanical switch exists in the switching process, the current is uninterrupted, and wide-range high-precision continuous measurement is achieved.

The invention relates to the technical field of multi-agent collaboration, in particular to a task execution method and system based on multi-agent collaboration, and the method comprises the steps: carrying out the semantic analysis and multi-granularity decomposition of a user task instruction, generating a subtask dependence structure, and storing the subtask dependence structure into a dynamic task pool; performing collaborative planning and rehearsal execution on the to-be-executed subtasks, generating context snapshots, executing Push, and writing the Push into a historical state stack; retrieving an evidence chain based on the domain knowledge base and extracting a fact triple set, performing consistency comparison based on structured evidence triples on the candidate reasoning paths, and outputting conflict confidence and consistency scores; when the consistency score is lower than a threshold value, triggering a projectile stack, physically clearing wrong branch intermediate data, recovering a historical context, injecting a negative feedback prompt to generate a new inference branch, and returning to continue rehearsal execution; if the verification is passed, outputting a result and entering a next subtask; therefore, the controllability and auditing performance of multi-agent cooperative task execution are improved.

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 invention provides a multi-mode composite stability control method for a three-degree-of-freedom photoelectric servo turntable, which comprises the following steps of: using gyroscope information, combined inertial navigation information and image feature information; through composite control of multiple modes such as carrier angle disturbance negative feedback, carrier linear motion translation compensation and evaluation and compensation of errors from image feature information, the limitation of a single-mode control method is effectively overcome, the advantages of each single-mode control method are fully played, performance complementation is realized, and the system performance is improved. And the precision of optical axis stability of the photoelectric detector is improved. According to the method, when a single data source fails, the high-precision stability of the optical television shaft can still be kept, the robustness of servo stability and the adaptability to a complex dynamic environment are improved, and the method conforms to the development direction of photoelectric intellectualization.

This invention provides a dual-end driven long shaft system multi-order torsional vibration test platform and a torsional vibration identification and suppression method, relating to the field of long shaft system variable frequency drive technology. The platform includes two dual-winding drive motors respectively located at both ends of the shaft system, a load motor located in the middle, and a switchable shaft system connection structure, along with a dual-master, dual-slave cooperative control system composed of four drive frequency converters. This method achieves controllable excitation of multi-order torsional vibration by superimposing the load torque step and the frequency excitation source. It utilizes differential amplification and dual-channel filtering in the signal processing module to extract speed fluctuation characteristics, accurately identifying the critical speeds of each order in the system. For the identified torsional vibration phenomenon, a speed differential negative feedback algorithm is used to correct the torque command of the frequency converter, and the torsional vibration energy of the elastic transmission chain is offset by actively enhancing the system's electrical damping. This invention solves the problem of reproducing complex torsional vibration under safe and controllable conditions and verifying suppression strategies in ultra-large generator units.

The embodiment of the application provides a multi-agent data governance method and system based on negative feedback optimization, which comprises the following steps: performing data governance on to-be-governed data based on a multi-agent system to obtain a data governance result, and creating a task execution path atlas in real time during data governance; performing evaluation processing on the data governance result based on a preset evaluation index set and a dynamic threshold set to obtain negative feedback data; querying the task execution path atlas according to the negative feedback data to obtain a task processing path; performing evaluation processing on the task processing path to obtain one or more to-be-optimized agents; performing matching processing based on the negative feedback data, a task type of the to-be-optimized agent and an optimization parameter matching library to obtain corresponding optimization data; performing optimization on the corresponding to-be-optimized agent according to the optimization data; and performing data governance on the to-be-governed data based on the optimized multi-agent system. The scheme can optimize and iterate the agent based on a negative feedback learning mechanism.

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.