267 results about "Control delay" patented technology

The invention relates to the field of ring main units, in particular to an event-driven intelligent ring main unit and a control method, and the event-driven intelligent ring main unit comprises a cabinet body, a cabinet body built-in circuit breaker, an isolation grounding switch and a fusion sensing array. An array synchronously acquires mechanical and electrical quantities, an edge decision-making system takes a voltage zero crossing point as an absolute time mark nanosecond alignment event, a closed-loop control core generates a protection and topology reconstruction instruction in situ according to the event, and primary equipment is driven in a millisecond level; the intelligent communication interface dynamically schedules bandwidth according to the data priority, and key instructions are ensured to be issued in real time. According to the invention, the problems of fault misjudgment and local control delay caused by lack of a unified time sequence reference in a mechanical state and an electrical transient state of a traditional ring main unit are solved.

The invention discloses an exoskeleton motion signal peak valley intelligent detection method and system, and relates to the technical field of computer assistance. The method is used for solving the problems of control delay and high misjudgment rate caused by large motion signal noise interference and inaccurate processing in an exoskeleton system. The method comprises the steps of firstly, suppressing motion artifact noise and generating a high-signal-to-noise-ratio preprocessing signal through multi-modal signal collaborative noise reduction and dynamic energy entropy segmentation, secondly, constructing a parallel convolution attention network to extract multi-modal features, and extracting peak and valley candidate points in combination with dynamic weight fusion and multi-scale differential detection; a peak valley point set is optimized based on a variable structure density sensing clustering algorithm and density gradient analysis, artifact interference is eliminated, finally, a multi-rule confidence model is constructed by fusing time sequence prediction of a bidirectional gating circulation unit and biomechanical correlation, and a threshold value is dynamically adjusted to trigger an exoskeleton joint assistance instruction. Closed-loop processing from signal acquisition to real-time control is realized, and peak valley detection precision and response speed are remarkably improved.

The invention provides a self-adaptive constraint model active mismatch prediction control method based on voltage and current ripple resistance of a power converter in a hybrid energy storage system, and the method comprises the steps: building an island DC micro-grid system model, collecting the voltage and current information of a system, and designing a model prediction control frame of a power loop and a cost function of the model prediction control frame; designing a model predictive control framework of the current loop and a cost function of the model predictive control framework; designing an active model mismatch mechanism to enhance the response capability to dynamic change; determining an optimization problem with a normal value, and designing an adaptive constraint optimization algorithm to dynamically adjust constraint parameters and optimize control performance; and designing a steady-state and dynamic-mode trigger for adapting to the running state of the system. According to the invention, the trajectory tracking precision of the system under dynamic and steady-state working conditions can be significantly improved, current ripples caused by control delay can be effectively eliminated, damage to electrical equipment due to overlarge ripples can be avoided, and the service life of the equipment can be prolonged.

The invention relates to the field of intelligent control, in particular to an intelligent washing control method and system based on multi-modal data, and the method comprises the steps: carrying out the time sequence alignment and feature fusion of a running state parameter set and a communication demand parameter set, and obtaining a multi-modal communication feature matrix; analyzing the coupling relationship between the dehydration stage identifier and the real-time energy consumption value of the washing equipment through a preset conflict prediction model, dynamically calculating the channel preemption priority of each washing equipment according to an instruction execution time window, and generating a clustering type communication resource scheduling sequence in combination with the priority of a control instruction; obtaining the number of instruction conflicts identified by each washing device in the dehydration stage, and constructing a load balancing optimization function with the instantaneous circuit load; and when the output value of the load balancing optimization function is minimized, obtaining a dehydration peak shifting control instruction. The problems of communication quality reduction and control delay during cooperative control of a plurality of washing devices are solved, and the timeliness and safety of control of the washing devices are improved.

The invention discloses a rolled piece temperature control system based on a steel rolling process, which relates to the technical field of steel rolling and comprises a detection module, a control module, an execution module and a cooling module, the detection module comprises infrared thermometer arrays, an ultrasonic thickness gauge, an electromagnetic flowmeter, a pressure transmitter and a thermal resistance thermometer, and the infrared thermometer arrays are used for being arranged in front of and behind a cooling section and respectively collecting initial temperatures before entering a cooling system. Through the self-adaptive PID algorithm, the finite difference heat conduction model and the Smith pre-estimation compensation strategy are combined, the problem of control delay caused by the large lag characteristic in the cooling process is solved, control parameters can be dynamically adjusted according to the rolling speed, the steel grade characteristic and the like, temperature adjustment better fits the actual working condition, and the control precision is improved. The phenomenon of supercooling or insufficient cooling in a traditional control mode is fundamentally avoided, and the uniformity and stability of the performance of rolled pieces are guaranteed.

The invention relates to the technical field of fixed-wing unmanned aerial vehicle control, in particular to a state estimation method for a fixed-wing unmanned aerial vehicle in a gliding state during weak driving and long endurance. Comprising the steps of sensor data fusion and establishment of an observation model, a judgment process of entering a gliding state, switching of an unmanned aerial vehicle aerodynamic model, establishment of a lightweight particle filter-extended state observer PF-ESO inner and outer ring cascade filtering structure under a weak driving attitude, and working condition feedback control optimization of correlation coefficients. Through a lightweight particle filter-extended state observer cascade structure, the adaptive capacity of the system to airflow disturbance and modeling errors is enhanced, even if airflow change or control delay occurs in long-time gliding, the filter can quickly sense and correct estimation, and long-term state drift is avoided. The robustness of the system to slow disturbance and model mismatch is remarkably improved.

The invention provides a delay compensation control method for a double-vibrator wave energy conversion device, which comprises the following steps of: performing numerical modeling and hydrodynamic analysis on the double-vibrator wave energy conversion device, establishing a time domain motion equation of the double-vibrator wave energy conversion device, and introducing a time delay function into the time domain motion equation to simulate control signal transmission delay; simulating the execution delay of the brake by using a partial differential equation; establishing a state-space equation of the device, replacing a convolution term of the time-domain motion equation with the state-space equation, and calculating to obtain a motion state of the device; a Hamiltonian function is defined to convert a constrained optimization problem into an unconstrained optimization problem, and the Hamiltonian function is solved to obtain an optimal control criterion considering control delay so as to realize maximization of energy capture under the optimal control criterion. According to the method, the operation characteristics of a physical system are truly reflected by introducing control delay, so that the locking control method is effectively implemented in an actual physical device, and the energy capture efficiency of a wave energy conversion device and the reliability of system operation are effectively improved.

The invention discloses a voltage closed-loop control method and related equipment, and relates to the technical field of voltage control, and the method comprises the steps: obtaining the current voltage of a distribution box in a charging process; generating an initial control target value through a feedback control algorithm based on the deviation between the current voltage and a preset target voltage; generating a compensation value based on the current voltage and the state observation variable; generating a target control instruction based on the initial control target value and the compensation value; and adjusting the duty ratio of the boost loop according to the target control instruction to converge the voltage of the distribution box to a preset target voltage. According to the invention, through combination of the feedback control algorithm and the state observer, dynamic adaptive adjustment of voltage fluctuation is realized, the real-time response capability of disturbance such as power fluctuation of the charging pile is effectively improved, and voltage drop and charging protection caused by control delay are avoided.

The invention discloses a hybrid power vehicle collaborative thermal management method and system based on energy flow intelligent perception. The method comprises the following steps: sensing and predicting multi-dimensional energy flow characteristics of an engine in real time through a pre-trained time sequence neural network model; the predicted value is used as a feedforward signal, real-time temperature feedback of the power battery is combined, and a thermal management cooperative control instruction is generated through feedforward-feedback cooperative decision logic; and finally, a heat exchange path between the engine cooling system and the battery heat management system and respective execution mechanisms are dynamically adjusted, so that prospective active cooperative temperature control is realized. The problems of passive response, control delay and low energy efficiency of an existing thermal management system are solved, and accurate and efficient two-way optimization management of the thermal states of the engine and the battery is achieved.

The invention relates to the technical field of intelligent control, and discloses a multi-agent consistency detection system, which effectively improves the cooperative control capability of a multi-agent system in a dynamic environment. A real-time topology updating mechanism guarantees rapid convergence when a network structure changes, a prediction compensation module significantly reduces control delay caused by environmental interference, and a multi-dimensional health monitoring system improves the accuracy and efficiency of fault recovery. Functional decoupling is achieved through the modular design, system expansion and maintenance are facilitated, autonomous adjustment and optimization of a recovery strategy are achieved through a strategy optimization mechanism driven by reinforcement learning, the fault recovery time is shortened, and the success rate is increased. A secondary health verification mechanism ensures effectiveness of recovery operation, and secondary faults caused by continuous operation of the system in an incomplete recovery state are avoided.

The invention provides an intelligent control method and system for pressure of a gas collecting pipe of a coke oven, and particularly relates to the technical field of automatic control of the coking production process. According to the method, a coke oven gas collector pressure measured value and an air blower rear pressure value are obtained in real time, and the gas collector pressure change rate is calculated accordingly. When the pressure change rate exceeds a set threshold value, a feed-forward control amount for adjusting the blower speed or the backflow flap opening degree is generated based on the pressure change rate. Meanwhile, the front suction value of the primary cooler is obtained, and feedback control quantity is generated through a feedback control algorithm according to the deviation between the front suction value and the suction set value. And superposing the feedforward control quantity and the feedback control quantity to generate a final control instruction, and adjusting the rotating speed of an air blower or the opening degree of a backflow turning plate according to the final control instruction, so that the measured pressure value of the gas collecting pipe tends to a target pressure set value. According to the method, control delay caused by medium flowing is eliminated, instant and advanced adjustment is achieved, and the problem that control response is not timely is solved.

A method for conditioning and maintaining power with predictive load compensation using an uninterruptible power supply system is disclosed. The method includes measuring an electrical input from a primary power supply using analog sensors and transmitting the input through an impedance to introduce a controlled delay. During the delay, input parameters and downstream system effects are determined based on telemetry sensor data. Digital identities are generated for the electrical input and the downstream load and compared to a stored digital identity representing historical conditions. Using the comparison, a system simulation is performed with analog twinning to predict downstream system responses. The predicted response is used to adjust a power converter parameter, modifying the electrical input to an intermediate output that compensates for voltage fluctuations and harmonic distortions. A secondary power supply with a bidirectional high-discharge battery supplements or stores energy as needed, ensuring stable power delivery to the downstream load.

The invention relates to the technical field of grid connection of new energy units, in particular to a control parameter identification method and system for a grid-connected converter of a new energy unit, a storage medium and a processor. The method comprises the following steps: establishing a high-frequency impedance model of a new energy unit grid-connected system, and determining to-be-identified parameters including a proportionality coefficient of a current inner ring of a converter, an integral coefficient of the current inner ring of the converter and control delay of the converter; harmonic voltage disturbance under different frequencies is applied, harmonic currents of a unit under different frequencies are measured, then impedance values under three different frequencies are obtained, the impedance values under the three different frequencies are input into a high-frequency impedance model of the new energy unit grid-connected system, and the high-frequency impedance model of the new energy unit grid-connected system is obtained. And solving the high-frequency impedance model of the new energy unit grid-connected system to obtain a to-be-identified parameter. The model involved in the method is low in order, the control parameters of the current inner loop of the converter can be obtained only through a small number of impedance tests and equation set calculation, and the method has the advantages of being high in identification efficiency and accuracy.

The invention relates to the technical field of mobile energy storage, in particular to a method and a system for optimizing power smooth control parameters of a mobile energy storage system. According to the method, the frequency band of the filter is dynamically adjusted by combining the power fluctuation frequency spectrum and the motion attitude data, and vibration noise is accurately filtered while effective load signals are reserved, so that the problem of signal distortion caused by a fixed cut-off frequency LPF is solved; a temperature-power attenuation coefficient is generated in real time through a three-dimensional temperature field to adaptively correct a control parameter, the problems of integral saturation at high temperature and slow response at low temperature caused by battery temperature drift are avoided, and meanwhile, a vibration net interference phase is utilized to perform advanced compensation on a control loop so as to remarkably reduce the problem of control delay, and the battery performance is improved. And fusing the key parameters, and executing a closed-loop scoring mechanism of feedback data based on the parameters to further ensure the real-time effectiveness of the control effect, thereby ensuring the reliability of smooth control of the system power.

The invention relates to the technical field of voltage control, in particular to a sending-end transient overvoltage control method, device and equipment, and the method comprises the steps: detecting the deviation between a system voltage value and a rated value, and obtaining the correction of a phase-locked loop angle through the calculation of a proportional link and an amplitude limiting link, thereby indirectly influencing the output of reactive power, and achieving the control of the transient overvoltage. And the problems of overlong control delay and poor voltage suppression effect caused by output reactive power lag in a traditional method of adjusting reactive power are avoided.

The invention provides an output torque control method, electronic equipment and a vehicle, and belongs to the technical field of vehicle torque control, torque feedforward is combined with acceleration closed-loop control and is combined with a series-parallel closed-loop control framework with dead-zone compensation torque closed-loop control, and the final output is torque instead of the position or speed in the related technology. This enables a series-parallel closed-loop control architecture to very conveniently construct a torque control system. The series-parallel closed-loop control architecture utilizes feedforward to realize almost delay-free response so as to reduce control delay, and utilizes acceleration closed-loop control to inhibit internal and external disturbance, enhance robustness and improve torque control precision. Interference of a non-linear dead zone is overcome through dead zone compensation, and the torque control precision of low-speed and steady-state scenes is guaranteed. Therefore, the series-parallel closed-loop control architecture can dynamically adjust the output torque in the driving process, so that accurate and rapid conversion from the acceleration to the torque of vehicle longitudinal control is realized, and the control precision and the response speed of the output torque are improved.

The invention relates to a vehicle control method and device, electronic equipment and a vehicle. The method comprises the steps of obtaining road data and real-time meteorological data in a current driving path of a target vehicle; judging whether a road in front of the target vehicle is a crosswind area or not based on the road data and the real-time meteorological data; when it is judged that the road in front of the target vehicle is the crosswind area, influence intensity data of the crosswind area is determined; when it is detected that the target vehicle is about to enter the crosswind area, vehicle parameters of the target vehicle are adjusted according to the influence intensity data; when it is detected that the target vehicle enters the crosswind area, vehicle state data of the target vehicle influenced by crosswind in the crosswind area are obtained, and vehicle parameters of the target vehicle are adjusted according to the vehicle state data. According to the embodiment of the invention, the method achieves the precise judgment of the crosswind region, carries out the vehicle parameter adjustment under the condition that the vehicle does not enter the crosswind region, and avoids the control delay of the vehicle.

The invention discloses an intelligent seat control system and method, and the system comprises a sensing module which is used for collecting a physiological state signal of a driver, a dynamic driving signal of a vehicle, and an environment signal of a carriage; the control module is connected with the sensing module and is used for performing fusion processing on the received multi-source signals and outputting a control instruction based on preset judgment logic; the execution module is connected with the control module and used for driving an adjusting mechanism of the seat according to the control instruction; wherein the control module is configured to judge the fatigue level of the driver according to the physiological state signal; the real-time control state of the vehicle is judged according to the dynamic driving signal; and based on the fatigue level or the real-time control state, generating a corresponding adaptive adjustment instruction to control the execution module to act. According to the intelligent seat system, the problems of physiological monitoring limitation, high control delay and individuation deficiency of an existing intelligent seat system are solved, and a timely, comfortable and safe seat is provided for a driver.

The invention relates to the technical field of energy storage systems, and discloses a harmonic suppression method and system of an energy storage converter. According to the method, harmonic disturbance generated during switching of the switching state is analyzed based on the voltage modulation instruction and the switching characteristic parameters, so that prospective prediction of voltage harmonics caused by switching action time sequence deviation is realized, and the problem of detection and control delay existing in a traditional method is solved; carrying out credibility evaluation on the obtained prediction information of the voltage harmonic wave based on the real-time current harmonic component and the voltage harmonic wave disturbance prediction quantity, and fusing the real-time current harmonic component and the voltage harmonic wave disturbance prediction quantity based on the result to generate a harmonic wave suppression target with a quick response characteristic and high precision; and a safety voltage control instruction capable of effectively suppressing a harmonic suppression target is obtained through a closed-loop iterative optimization mechanism, so that the inherent contradiction that the harmonic suppression effect and the safety constraint are difficult to consider at the same time is solved, and the comprehensive performance of harmonic suppression is improved.

The invention relates to an engineering machinery remote control method and device based on the Internet of Things, equipment and a medium. The method comprises the following steps: acquiring multi-source data of a working site, and after preprocessing, separating key features by using an optimized support vector machine model to obtain a key feature set; based on the set, utilizing a deep neural network to fuse multi-source data to generate an integration state model, and synchronously and dynamically adjusting data acquisition frequency according to network bandwidth fluctuation to obtain a final integration state model; the transmission delay of the data is evaluated, semantic classification and compression are carried out on the optimized data, and a visual interface is generated after transmission analysis; and acquiring interface interaction data, converting the interface interaction data into a control instruction, calculating a signal parameter modification value, verifying control delay compliance, and finally generating remote control response data containing execution confirmation information. By adopting the method, the intelligent level and the operation safety of remote control of the engineering machinery are remarkably improved, and the labor and operation and maintenance cost is reduced.

The invention relates to the technical field of output control, in particular to a constant voltage control method, device and equipment based on a fixed period and a storage medium, and the method comprises the steps: calculating an average effective voltage through multiple times of sampling, dynamically adjusting the conduction time through a PI controller, and achieving the synergistic effect of synchronous starting and error compensation. Adjusting the conduction time of each period in real time according to a PI control result; the output deviation caused by battery voltage fluctuation, control delay and multi-channel asynchronous turn-off is effectively relieved, and the constant voltage control precision and stability of multi-path output in a fixed period are improved; specifically, in the turn-on time of a period k, multiple paths of output voltages are sampled for multiple times, and the average effective voltage is calculated, so that the influence of battery voltage fluctuation on output can be accurately captured, and a reliable basis is provided for error calculation; the on time of the (k + 1) th period is adjusted through the PI controller, the output voltage can be balanced in the next period, continuous accumulation of errors is reduced, and the long-term control precision is improved.

A steering wheel vibration suppression method for an angle control-based assisted driving function. A steering wheel vibration frequency causing steering wheel vibration is found by means of spectral analysis, a second-order notch filter is used to filter the steering wheel vibration frequency, and angle closed-loop control is performed by using a filtered rack speed; the second-order notch filter and a phase compensator designed on the basis of an optimization formula of the second-order notch filter and a transfer function of the phase compensator are used to perform filtering and phase compensation on an actual vibration amplitude of the rack speed; double closed-loop control is performed on the processed rack speed and a rack position to obtain an expected motor force; the expected motor force is superposed with an actual assistance force to obtain a final motor force, and the final motor force is inputted to a motor to control the motor, thereby implementing vibration suppression. The present disclosure can achieve suppression of steering wheel vibration, improve the control accuracy, reduce the control delay, implement quicker processing of the steering wheel vibration, and improve the steering feel during driving.

The invention discloses an unmanned aerial vehicle control method based on multi-sensor fusion, and relates to the technical field of unmanned aerial vehicle control, and the method comprises the steps: collecting a target image through a high-speed vision camera carried on an unmanned aerial vehicle; processing the target image based on an improved adaptive threshold algorithm, and determining a landing platform of the unmanned aerial vehicle; calculating horizontal deviation data, vertical height data, yaw angle data, pitch angle data and roll angle data of the unmanned aerial vehicle relative to the landing platform; acquiring the speed and acceleration of the unmanned aerial vehicle in real time; on the basis of the relative position prediction model, relative pose information of the unmanned aerial vehicle and the landing platform is updated in real time through an interpolation algorithm; and performing flight path planning according to the relative pose information, and controlling the unmanned aerial vehicle to land on a landing platform in stages. According to the method, the real-time performance of unmanned aerial vehicle control is improved, the control delay of the unmanned aerial vehicle is effectively reduced, and the control precision of landing of the unmanned aerial vehicle based on the landing platform is improved.

The invention relates to the field of vehicle automatic driving, in particular to a vehicle driving control method and device. The first cloud with the highest communication quality is selected to process the takeover request, stability and high efficiency of information transmission between the vehicle and the cloud are guaranteed, the risk of control delay or instruction loss caused by network instability is reduced, and the stability problem caused by network dependence in an existing scheme is solved. And secondly, the vehicle actively sends the takeover request, and the first cloud end automatically responds and carries out detection and analysis work, so that manual intervention is greatly reduced, takeover efficiency is improved, and the bottleneck of low efficiency caused by dependence on manpower in an existing scheme is broken through. Then, the cloud end can analyze the data and determine the driving control mode in the vehicle driving process, seamless takeover in the driving process is achieved, parking is not needed, and the safety risk caused by parking is reduced. And finally, connection with the cloud with the highest communication quality is established preferentially, so that implementation in different regions can be realized, and application region limitation is broken.

The invention discloses a motor control method, device and equipment and a computer readable storage medium, and relates to the field of motor control, and the motor control method comprises the steps: obtaining a rotating speed sampling value of a motor; adjusting filtering parameters based on the motion process of the rotating speed sampling value, wherein the motion process comprises a constant speed process and a constant speed change process; processing the rotating speed sampling value through the time-varying filter after the current filtering parameter is adjusted to obtain a rotating speed feedback value; and the electromagnetic torque output by the motor is adjusted based on the rotating speed feedback value, so that the electromagnetic torque and the load torque of the motor meet the dynamic torque balance condition. According to the method, the problem of control delay caused by inherent contradiction between noise suppression and transient response of the low-pass filter can be solved, the electromagnetic torque and the load torque are kept in dynamic balance all the time, and the control precision and the response speed of a crane system under noise interference are improved.

This invention discloses a dynamic weighted adaptive predictive control method and apparatus based on twin model fidelity feedback. The method includes: establishing a digital twin model of the motor to obtain the predicted current of the motor's future state, addressing the impact of motor model uncertainty and time-varying parameters on control performance; calculating the prediction fidelity of the motor's digital twin model in real time based on the predicted current and the measured current of the motor; dynamically adjusting weight factors using a fuzzy logic decision system based on the motor's real-time operating conditions and the prediction fidelity to achieve switching of the control objective; calculating the optimal voltage vector corresponding to minimizing the cost function using model predictive control theory based on the predicted current and the dynamically adjusted weight factors; and achieving operation of the permanent magnet synchronous motor at low switching frequencies based on the optimal voltage vector. This invention can effectively compensate for control delay and model uncertainty at low switching frequencies, significantly improving the high dynamic response performance and robustness of the permanent magnet synchronous motor.

The invention provides a wind power integration system small disturbance modeling and stability analysis method considering control delay, and the method comprises the steps: introducing a sampling delay link, a zero-order holding link and a switch delay link in a small disturbance linearization modeling process, carrying out the linearization processing through employing a first-order inertia link, and building a unified state space model; respectively constructing control delay mathematical models of the direct-driven fan and the double-fed fan, and analyzing and identifying the influence of the control delay on the oscillation mode and stability of the system through characteristic values and impedance; and finally, performing time domain simulation in the simulation platform, and comparing a calculation result with a simulation result to verify the accuracy of the model. The method can accurately reflect the small disturbance characteristics of the wind power grid-connected system in the sub-synchronous frequency band and the super-synchronous frequency band, provides a theoretical basis for optimization of control parameters of a wind turbine generator and evaluation of grid-connected stability, and solves the technical problem that the influence of control delay is generally ignored in modeling of an existing wind power grid-connected system.

The present invention discloses a primary-secondary delay-locked loop (DLL) with dual delay lines, comprising a power-on reset module (POR), a primary delay-locked loop (DLL1), a secondary delay-locked loop (DLL2), and a lock indication module (LI). The power-on reset module is connected to the reset control module of the primary delay-locked loop (DLL), the output voltage signal (V1) of the primary delay-locked loop (DLL) is connected to the short link of the secondary dual-chain voltage-controlled delay line, an external input clock signal (CLK) is connected to the primary and secondary delay-locked loops, a total reset signal generated by the primary delay-locked loop is connected to the secondary delay-locked loop filter module, and the output signals of the phase frequency detector (PFD) module (PFD1) and the phase frequency detector (PFD) module (PFD2) are respectively connected to the lock indication module. The DLL of the present invention has the advantages of accurate locking and small area overhead.

This application discloses a flexible power distribution network AC / DC hybrid control device and method empowered by quantum precision measurement. The device includes an AC / DC hybrid quantum interference measurement module, a quantum measurement control closed-loop linkage module, an adaptive quantum entanglement anti-interference shielding module, and a quantum classical collaborative backup control module. The method includes the following steps: S1, synchronously and precisely measuring the real-time magnetic field signals on the AC and DC sides of the AC / DC hybrid system; S2, amplifying the weak signals in the real-time magnetic field signals; S3, actively canceling external electromagnetic interference through the adaptive quantum entanglement anti-interference shielding module; S4, using the real-time magnetic field signals to solve the optimal power balance solution through the QUBO objective function and variational parameter optimization formula, and monitoring the state of the AC / DC hybrid system in real time, in order to solve the problems of large control delay, weak anti-interference capability, disconnect between measurement and control, and inability to adapt to dynamic topology changes in existing technologies.

Provided are a control circuit, a semiconductor memory device, and a control method thereof that are capable of efficiently estimating the amount of delay between a first signal and a second signal and generating an output signal according to the amount of delay. [Solution] The control circuit 30 comprises a delay line section 31 to which a start signal start_tdc is input, the delay line section including a plurality of delay units U1 to U8 connected in series; a detection section 32 to which an end signal end_tdc is input, the detection section detecting, when an end signal is input after the start signal is input to the delay line section, the number of delay units among the plurality of delay units through which the start signal has passed before the end signal is input; and a control section 33 that controls the transmission path of the start signal in the delay line section so that the number of delay units through which the start signal has passed before the start signal is output from the delay line section is equal to the number of delay units detected by the detection section.