32results about How to "High control reliability" patented technology

The invention discloses a totem-pole PFC circuit control method and device based on an improved SOGI-PLL, and belongs to the technical field of totem-pole PFC circuits, and the method comprises the steps: collecting the input voltage, input current and bus voltage of a totem-pole PFC circuit; synchronous phase information of the power grid voltage is obtained through an improved second-order generalized integral phase-locked loop; generating a current amplitude reference signal, and combining the current amplitude reference signal with the synchronous phase information to synthesize a current reference signal; generating a pulse width modulation signal for controlling a high-frequency switching tube; and a switching signal of the power frequency switching tube is generated based on the synchronous phase information, and the power frequency switching tube and the high-frequency switching tube are driven in combination with the pulse width modulation signal, so that the action time sequence is synchronous with the phase of the power grid voltage, and therefore, waveform tracking of the input current is realized, and current distortion at the zero crossing point is suppressed. Precise phase synchronization is realized based on the improved SOGI-PLL, totem pole PFC zero-crossing current distortion is effectively suppressed, and the power factor and waveform quality are improved.

This invention relates to the field of vehicle intelligent control technology, and discloses a windshield wiper intelligent control method, system, and vehicle. The windshield wiper intelligent control method includes: acquiring the windshield wiper operating state; acquiring the environmental occlusion state of the area above the vehicle; and controlling the windshield wiper operating state based on the windshield wiper operating state and the environmental occlusion state. Applying the technical solution of this invention can accurately control the timing of windshield wiper opening and closing, reduce the complexity of driving operations, and improve driving safety.

The utility model discloses a positioning accurate servo electric cylinder relates to electric cylinder technical field, and the utility model discloses a shell seat is provided with the shell cover one end of shell seat, the inside rotation of shell seat is equipped with the threaded rod, the outside threaded cover of threaded rod is equipped with the push rod, and the one end of push rod is slid through shell cover, and the inside fixed mounting of shell cover is equipped with motor, and the drive end fixed connection of motor is equipped with main gear, and the one end fixed cover of threaded rod is equipped with the secondary gear, and the secondary gear is engaged with main gear and is connected, and the outside fixed connection of push rod is equipped with the guide block, through the cooperation of motor, main gear, secondary gear, threaded rod, push rod, and the guide block is in the sliding help push rod guide wire positioning on the guide plate, and utilize the sliding of slider on the sensor and the detection of guide block abutment, cooperate the effect of spring to real -time monitoring guide block and push rod's moving strength judges telescopic data to be transmitted to motor and carries out positioning control, real -time contact, and data is more accurate, and the control reliability is improved.

The application discloses a multi-modal perception robot elevator control method and related equipment, the method comprises the following steps: obtaining an elevator task and current radar data, performing path planning according to the current radar data and preset floor map data to obtain an elevator path; controlling the robot to go to a floor elevator position according to the elevator path, performing multi-modal scanning on the floor elevator position, obtaining multi-modal environment data and performing fusion analysis to determine elevator state information; performing decision analysis according to the elevator state information and the obtained elevator task to generate robot control instructions, and controlling the robot to execute the elevator task according to the generated robot control instructions; obtaining multi-modal data through multi-modal scanning to perform fusion analysis, determine the elevator state information, and generate control instructions based on the elevator state information, and control the robot to execute the elevator task. The application embodiment can improve control reliability and reduce implementation cost. The application can be widely applied in the field of robot control technology.

The invention provides a helicopter inward-opening type hinge cabin door control device and a state indication method, solves the problem of low reliability caused by multiple sensors, multiple signals and complex logic of a cabin door with a multi-position locking function at present, and is particularly suitable for a large-size inward-opening type hinge cabin door of a general helicopter. Reliable position locking and state indication of the cabin door can be realized only through monitoring of the passive locking mechanism and the micro switch of the passive locking mechanism and by adopting a system architecture of signal acquisition logic processing state indication, and an active locking mechanism and an additional position sensor do not need to be adopted, so that the cabin door control system is simple, fewer in signal, simple in logic and high in reliability. The cabin door state display information is concise, visual and comprehensive, the cabin door control efficiency and the state indication reliability are higher, and various task requirements of using the cabin door on the ground / in the air can be met.

The invention relates to the technical field of power electronics, in particular to a diesel generator test system control method based on a moving average filter, and the method comprises the steps: collecting an output voltage instantaneous value of a diesel generator in real time, and obtaining a voltage sampling sequence; inputting the voltage sampling sequence into a pre-constructed moving average filter; performing moving average processing on the input voltage sampling sequence through a moving average filter to obtain an output signal; generating a current command signal based on an output signal of the moving average filter; and according to the current instruction signal, driving the diesel generator test system to simulate a load with a specific power factor through current closed-loop control, and carrying out load simulation test on the diesel generator. The moving average filter is directly used for generating a current instruction of the test system, and the lag angle of the current instruction is linearly adjusted by adjusting the point number of the filter through the linear phase-frequency characteristic of the filter, so that the accurate and convenient control of the simulation load power factor of the diesel generator test system is realized.

The embodiment of the invention provides an air door switching unit, clothes processing equipment and a drying control method. The air door switching unit comprises a box body provided with an inner cavity, the shell wall of the box body is provided with a plurality of interface pairs, and each interface pair comprises a first interface and a second interface; the first air door is movably arranged in the inner cavity, a first flow guide window is formed in the first air door, and the first air door moves to enable the first flow guide window to be communicated with the first connectors of the different connector pairs in a switching mode; the second air door is movably arranged in the inner cavity, a second flow guide window is formed in the second air door, and the second air door moves to enable the second flow guide window to be communicated with the second connector of the different connector pairs in a switching mode; the first air door and the second air door are controlled to move, so that the first flow guide window is communicated with a first connector of a preset connector pair, the second flow guide window is communicated with a second connector of the preset connector pair, and the preset connector pair is any one of the multiple connector pairs. According to the invention, the switching precision of different interface pairs can be improved.

This application relates to the field of intelligent control technology for construction machinery and discloses a monitoring and scheduling system for construction machinery based on data acquisition and control. This invention first confines externally perceived events to the controlled resource node layer for carrying, and then forms a model write-back permission result based on scheduling instructions, instruction action windows, and equipment-side response relationships. This enables the scheduling execution module to distinguish between equipment model writing, write blocking, and resource node state constraints. Through this control chain, externally perceived events only participate in equipment capability model updates when they form a closed relationship with the control response of a specific construction machinery. Events that do not meet the attribution conditions are used to restrict entry, waiting, detour, or data supplementation and other scheduling actions, thereby reducing the risk of regional operation evidence misleading equipment capability evaluation and subsequent task assignment, and enhancing the control reliability of centralized scheduling of construction machinery.

The invention relates to the field of generator power angle stability, and discloses an excitation synchronous generator power angle stability control method based on q-axis excitation, and the method comprises the following steps: S1, collecting a three-phase end voltage signal of a synchronous generator and d-axis and q-axis excitation current signals in real time; and S2, predicting future change of the power angle according to the change trend of the real-time power angle and load or short-circuit disturbance information to obtain a power angle prediction result, dividing power angle rising risks into different grades, and correcting by considering the influence of d-axis excitation on the power angle to determine an access strategy of q-axis excitation. According to the method, the real-time power angle can be accurately calculated and high-precision state information is provided for power angle prediction and excitation control by collecting the end voltage of the synchronous generator and d-axis and q-axis excitation current signals in real time and carrying out denoising, filtering and anomaly detection, so that the power angle control precision and the system stability are remarkably improved.

This utility model relates to the field of air conditioning unit technology, and in particular to a heat recovery system for air conditioning units and an air conditioning fresh air handling unit. The heat recovery system consists of a first heat recovery coil and a second heat recovery coil installed on both sides of the original air conditioning unit's surface cooler, forming a closed-loop system via circulation pipes and a power pump station. The first heat recovery coil efficiently recovers heat from the fresh air and reduces the load on the surface cooler, transferring the heat to the second heat recovery coil via the circulation pipes. The second heat recovery coil then uses the recovered heat from the fresh air to reheat the low-temperature air after dehumidification by the surface cooler, reducing the consumption of reheat steam and dehumidification chilled water. This structure fundamentally solves the energy offsetting problem caused by the "cooling and dehumidifying before heating" process in traditional air conditioning units, significantly reducing the unit's reheat energy consumption and the surface cooler's cooling load, achieving energy saving and emission reduction. Furthermore, an air conditioning fresh air handling unit with the aforementioned heat recovery system is also provided.

This invention relates to the field of wind tunnel technology, and in particular to a self-redundant multi-actuator system for a semi-flexible wall nozzle section in a wind tunnel. The system includes multiple sets of self-redundant actuators arranged laterally side-by-side on a single-sided profile wall of the semi-flexible wall nozzle section in a transonic wind tunnel. A hydraulic control unit is connected to the self-redundant actuators to adjust their maximum output power and achieve hydraulic self-locking. It can also selectively activate or deactivate the redundancy capability of the actuators according to operational requirements. A constant-pressure oil source unit is connected to the hydraulic control unit to supply oil to the self-redundant actuators and provide power compensation. This invention features high energy efficiency, strong anti-pollution capability, high power density, heterogeneous self-redundancy capability, and high reliability. It also combines the precision positioning characteristics of electromechanical actuators with the load adaptability of a hydraulic system, enabling direct and precise shaping of large-size semi-flexible wall nozzle profiles.

The invention discloses an intelligent industrial medium actuator control equipment management method and system based on the Internet of Things, and the method comprises the steps: firstly obtaining the operation load and state data of an actuator node through the Internet of Things, and carrying out the partition mapping of the operation load and state data to a corresponding edge operation unit according to the load grade; and each edge unit performs priority arrangement on the input nodes and the standby nodes in the local data set to generate a scheduling sequence. And carrying out cooperative control coupling on nodes in each load segment based on the sequence, and carrying out dynamic change evaluation by integrating all segment coupling results to obtain an operation state evaluation result. And finally, generating a cooperative control instruction according to an evaluation result, and adjusting the running state of the target actuator. According to the method, load partition edge calculation and dynamic intelligent cooperation are realized, and the control reliability, the resource utilization efficiency and the self-adaptive capability of an actuator network are improved.

The present application relates to the technical field of whole house control, and particularly relates to a whole house control method and device based on an air conditioner, equipment and a storage medium, the method takes the air conditioner as the center of whole house intelligent control, integrates a complete closed loop process of multi-source instruction acquisition, standardized preprocessing, core information analysis, scene instruction generation and control instruction execution, breaks the device management and control barrier of the traditional whole house intelligent control independent intelligent sound box and infrared repeater, fully utilizes the high installation, whole house and unobstructed space layout advantages of the air conditioner to realize the unified management and control of the whole house equipment, secondly, the method is compatible with single device independent control and multi-device collaborative linkage two core scenes, the logic level is clear and can be flexibly adapted to different house type home scenes and various types of household appliance equipment, greatly improves the system integration and control reliability of the whole house intelligent control, reduces the wiring redundancy, space occupation, poor compatibility and other problems caused by the traditional scheme of multi-device independent deployment.

The utility model discloses an integrated intelligent alarm system. The system comprises a network switch, a touch screen, a wireless router, a PLC (Programmable Logic Controller), a first transformer, an intermediate relay, two expansion modules and a digital input / output expansion module, the power supply ends of the two expansion modules and the digital input and output expansion module are connected to the first transformer, the output end of the PLC is connected to the intermediate relay, the intermediate relay is connected to alternating current, and the two expansion modules are respectively connected with a temperature and humidity sensor, a smoke sensor, a carbon dioxide sensor and an air quality sensor. The utility model has the advantages of simple design, high integration level, easy comprehensive control, very easy control, simple and clear circuit, high control reliability, operation and signal feedback only when it is confirmed that a fire is really generated, and the reliability of operation is further improved.

This invention discloses an online identification method for key parameters of a magnetically driven rotor for twin control. The method includes: constructing a parameterized digital twin model of the magnetically driven rotor, defining the time-varying key internal parameters in the model as parameter vectors to be identified; defining an objective function within a set time window, transforming the parameter identification problem into a nonlinear optimization problem that minimizes the objective function; adaptively identifying system parameters based on the LM optimization method to obtain parameter update vectors; passing the parameter update vectors to the system matrix of the parameterized digital twin model for state prediction at the next time step, and outputting the parameter update vectors to complete the online identification of key parameters. This invention effectively improves the accuracy, real-time performance, and embedded platform adaptability of parameter identification, providing a reliable model foundation for high-precision control, performance degradation monitoring, and predictive maintenance of magnetically driven rotors.

The application discloses an intelligent electrical control system, comprising an electrical data acquisition module, an electrical hierarchical correlation set construction module, an electrical operation domain division module, an electrical anomaly determination module and an electrical control module. The application belongs to the field of intelligent control, and specifically refers to an intelligent electrical control system. The scheme defines strong and weak correlation electrical sample sets, calculates sample adaptive correlation thresholds, and avoids misjudgment. Based on domain density division, the electrical data local working condition collaborative correlation is strengthened. The electrical tolerance coefficient and normal domain accommodation coefficient are introduced to calculate the abnormal matching degree, so that the edge normal sample is avoided to be misjudged as abnormal. Through comprehensive calculation of local normal correlation and global operation difference of the abnormal candidate domain electrical sample, misjudgment caused by single dimension index determination is avoided. The normal domain electrical sample is combined with the local correlation strength and the operation stability to select the core reference sample, so that the core normal electrical sample screening deviation is avoided, and the electrical control effect is improved.

The application discloses a ship SCR system intelligent control method, system, equipment and medium based on digital twinning, and particularly relates to the technical field of ship SCR intelligent control, wherein through cumulative evaluation and state partition identification of the ammonia injection execution deviation in the time dimension, the ammonia injection execution capability decline trend is identified in advance, and adaptive correction of the control strategy is completed in the digital twinning environment, the SCR emission constraint and the catalyst safe operation window are comprehensively considered in the control process, the generated ammonia injection control strategy is always matched with the actual execution capability and the reaction safety boundary, and the reliability of the control decision under complex working conditions is improved.

The invention discloses a photovoltaic array adaptive global maximum power point tracking method and system. The method comprises the following steps: solving global maximum power point reference voltage and global maximum power point reference power output by a photovoltaic array based on current environment data by adopting a two-stage nested multi-strategy particle swarm algorithm; judging whether a preset accurate control switching condition is met or not according to the output power of the photovoltaic array and the global maximum power point reference power; if a precise control switching condition is met, switching to a self-adaptive super-spiral sliding mode control mode, otherwise, maintaining a PI control mode; driving a power switch tube in the DC-DC converter to act by using a PI control mode or a self-adaptive super-spiral sliding mode control mode; according to the method, reference parameters are solved through the two-stage nested multi-strategy optimization particle swarm optimization algorithm, a dual-mode switching mechanism of PI control and self-adaptive super-spiral sliding mode control is matched, accurate and rapid tracking of the global maximum power point in a complex environment is achieved, and steady-state power fluctuation is effectively restrained.

The utility model relates to the technical field of feed blanking devices, and discloses a feed blanking device for pig raising feeding, which comprises a feed storage tank and a lower trough, the feed storage tank is communicated with a discharge pipe through a conical barrel, the lower part of the discharge pipe is coaxially connected with a thick barrel, and a ball float valve is arranged in the thick barrel as a valve to control feed circulation; the inner diameter of the thick cylinder and the outer diameter of the floating ball valve are both larger than that of the discharging pipe, the outer diameter of the floating ball valve is smaller than that of the thick cylinder, a feed passing gap is reserved between the lower bottom face of the thick cylinder and the inner bottom face of the trough, and automatic opening and closing are achieved through buoyancy of the floating ball valve. The floating ball valve is of a composite structure of an inner supporting hollow ball and a peripheral rubber ball, and a hollow interlayer is formed between the two. Feed is guided to flow smoothly through the conical barrel, the flow speed is reduced through the flaring structure of the thick barrel, a moving space is provided for the floating ball, sensitivity and sealing performance are improved through the double-material design of the floating ball valve, discharging can be automatically adjusted according to the liquid level of the trough, and manual intervention is reduced.

The application discloses a track following dynamic correction method and system for a caterpillar electric chassis, and belongs to the field of intelligent control of agricultural robots. The method is aimed at the yellow sand substrate environment of a sunlight greenhouse. Firstly, a reference trajectory for inter-ridge operation is constructed, and a turning area is calibrated. Multi-source data are collected through an encoder, an IMU, a laser radar and a visual sensor, and a chassis pose, a deviation and a caterpillar slip state are fused and estimated. A prediction control model with time sequence embedding and dimension expansion is constructed, control weights and constraint conditions are adjusted online in combination with working condition identification. A caterpillar speed correction amount is solved through rolling optimization, and is output after being limited in amplitude. Meanwhile, disturbance estimation is updated according to an execution result, so that closed-loop control is realized. The application effectively improves the trajectory tracking precision and robustness under a soft ground, suppresses deviation accumulation during turning, and guarantees stable operation of the chassis under complex working conditions.

The invention relates to a control instruction transmission method and device, a cloud server and a storage medium. The method comprises the following steps: receiving a plurality of control instructions; when it is monitored that the network is abnormal, determining a part of control instructions to be transmitted from the plurality of control instructions; wherein partial control instructions to be transmitted are determined based on the transmission priority of each control instruction; and transmitting the part of control instructions to controlled equipment. Therefore, under the condition that the network is abnormal, the basic stable operation of the controlled equipment can still be ensured, so that the real-time performance of adjusting the controlled equipment is ensured.

The invention discloses a multi-source heterogeneous data processing device and method for a vehicle, and the device is applied to a target vehicle, and the device comprises an interface adaption module which is integrated with a first interface, a second interface and a third interface, the heterogeneous original data of the plurality of data sources comprises vehicle state data of a target vehicle received through a first interface, roadside sensing data received through a second interface and traffic event data received through a third interface; a central processing unit and a time division multiplexing bus, the central processing unit is connected with the interface adaptation module through the time division multiplexing bus, and the central processing unit is used for obtaining fused basic probability distribution according to the vehicle state data, the roadside sensing data and the traffic event number; and controlling the target vehicle according to the fused basic probability distribution. According to the invention, the technical problem that the decision-making efficiency of intelligent driving is affected due to poor transmission real-time performance of multi-source data for intelligent driving control is solved.

The application belongs to the technical field of automation control, and provides a self-adaptive adjusting method and system of a total temperature sensor module, which comprises the following steps: constructing a three-dimensional model of an air inlet channel and simulating a fluid environment, collecting thermal response data to calculate a time constant, and judging whether there is a lag; if there is a lag, extracting sudden thermal data of a historical fluid velocity mutation point, establishing a dynamic correlation model to compensate and correct, and verifying the eligibility; after the eligibility is verified, collecting the upstream dynamic pressure and temperature gradient in real time, predicting the mutation point, and correcting the total temperature value; based on the corrected value, evaluating the adaptability of the model, and performing working condition partition correction when the adaptability is insufficient; the system comprises a lag analysis module, a model construction module, a compensation correction module, and an adaptability analysis module. The application is beneficial to optimizing the total temperature measurement lag problem in high-speed airflow.

The application relates to a control method and device of a magnetic suspension device, electronic equipment and a storage medium, the control method of the magnetic suspension device comprising the following steps: acquiring a carrier frequency and a current operating frequency of a frequency converter in the magnetic suspension device during operation of the magnetic suspension device; determining a current rotor temperature of a rotor in the magnetic suspension device based on the carrier frequency and the current operating frequency; if the current rotor temperature is greater than a preset threshold, determining an actual second first-order bending mode frequency based on a first first-order bending mode frequency originally used by the magnetic suspension device; and feeding back the second first-order bending mode frequency to a wave trap, so that the wave trap performs suspension control of the rotor based on the second first-order bending mode frequency. The embodiment of the application can achieve the effects of suppressing resonance and improving the control precision and reliability of the magnetic suspension air compressor.

This invention relates to the field of grid-connected circuit breaker control technology, and discloses a predictive synchronous grid-connected circuit breaker control method, device, electronic equipment, and storage medium. This invention directly extracts the peak moment of current differential and voltage phase characteristics through built-in PCB electromagnetic composite sensing, eliminating the traditional integration stage, phase lag, and parameter drift errors, and achieving low-latency, high-precision phase and frequency parameter calculation. Combining phase angle difference, frequency difference, and their changes, it predicts the future voltage phase synchronization window, dynamically selects the optimal closing time, and effectively avoids the impact of microgrid frequency fluctuations. Simultaneously, it introduces dynamic compensation for mechanical time delay parameters, accurately issuing closing commands in advance to ensure the circuit breaker closes within the voltage phase synchronization window, significantly suppressing closing inrush current. The inrush current suppression rate is high, greatly improving the grid-connected stability and equipment safety of the microgrid, and adapting to the stable operation requirements throughout the circuit breaker's entire lifecycle.

The invention relates to a vehicle control method and device, a medium, a product, a controller and a vehicle. The vehicle control method comprises the steps that whether the vehicle is in a steady-state driving state or not is detected, and a detection result is obtained; and controlling the vehicle according to the detection result and the wheel speed of the vehicle. The detection result of the steady-state driving state of the vehicle can judge the reasonability of the wheel speed of the vehicle, so that the vehicle is controlled by combining the detection result and the wheel speed of the vehicle, the error activation of the TCS function of the vehicle can be avoided, the vehicle control accuracy and reliability are improved, and the user experience is improved.

The application belongs to the technical field of data processing, and discloses a kind of intelligent simulation candle lamp control method, device, equipment and medium, the method includes: based on global time signal generation multi-frequency superimposed periodic pulsation signal;Based on the coordinate information of each LED generates spatial disturbance signal;According to the reference brightness parameter and pulsation response parameter of each LED belonging to flame area, superimpose periodic pulsation signal and spatial disturbance signal, obtain original brightness value;According to original brightness value and the brightness limiting parameter of each LED belonging to flame area is clamped and handled, obtains stable combustion control signal and sends to corresponding LED to make it execute, completes control operation.The application can improve the authenticity of LED lamp brightness output, so that the flame simulation effect of intelligent simulation candle lamp is more natural.

The present application belongs to the technical field of hydraulic components, and discloses a pipeline breakage automatic shut-off valve and a hydraulic system, which comprises a main control valve and a mode switching system. The main control valve comprises a main valve block, a differential pressure sensing valve, a Pitot tube and a stop valve, and the main valve block is provided with an inlet and an outlet. The mode switching system comprises an electromagnetic reversing valve and a mode switching valve, and the mode switching valve and the electromagnetic reversing valve are connected to the main valve block through a transition valve block. The Pitot tube is arranged in the main valve block and extends into the inlet at one end and is in communication with a high-pressure cavity of the differential pressure sensing valve at the other end. The mode switching system switches the working state of the shut-off valve in two control modes of manual control and hydraulic remote control through the mode switching valve and the electromagnetic reversing valve. The main control valve senses the flow change through the Pitot tube and the differential pressure sensing valve, and then controls the opening and closing of the stop valve, so as to realize the opening and closing of the shut-off valve.

The present application provides a kind of fuel ratio self-adaptive adjustment method and system based on oscillation risk grading determination, it is related to gas turbine combustion stability monitoring and control technical field.The technical points of the present application include: based on acoustic modal analysis, combustion chamber is monitored and is divided into subarea, and the arrangement scheme of each subarea monitoring point is determined;Real-time combustion oscillation signal of each monitoring point is obtained, and the signal weight coefficient is based, the signal of multiple points in each subarea is weighted and fused, to obtain the fused combustion oscillation signal of each subarea;The characteristic information of the signal is extracted and compared with the preset threshold, to judge whether there is combustion oscillation risk in the subarea;When there is risk in any monitoring subarea, the characteristic information of all subareas is weighted and fused, and is matched with the characteristic in stable combustion condition database, to determine target adjustment parameter, according to which fuel ratio adjustment is executed.The present application can realize the automatic identification and early warning of combustion unstable state.

This invention discloses a method and system for motor parameter identification based on a multiple synchronous rotating coordinate transformation filter. The method includes: using the motor's voltage and current along the αβ axis, along with position estimation information from a quadrature phase-locked loop (PLL), as inputs to a sliding mode observer to obtain back electromotive force (EMF) observations. The sliding mode algorithm employs a switching function to suppress high-frequency chattering in the back EMF. Furthermore, the harmonic disturbances in the back EMF are filtered out using a multiple synchronous rotating coordinate transformation filter. The fundamental component of the back EMF is then passed through the PLL to obtain the rotor's estimated speed and position information. The proposed multiple synchronous rotating coordinate transformation filter can be applied to sensorless motor control systems, eliminating the fifth and seventh harmonics in the estimated back EMF and exhibiting excellent harmonic suppression. This enables real-time and accurate acquisition of motor position information, improving the control performance of the motor drive system.