29results about How to "Improve control performance" patented technology

The invention discloses a hospital intelligent air conditioning system and a control method, the system comprises an information monitoring module, a performance analysis module, a demand prediction module and a signal management module, air conditioning system performance evaluation is carried out by collecting air conditioning operation information, and a correlation influence function between the air conditioning operation performance and application scene information is established, so that the performance of the air conditioning system is evaluated. Therefore, different medical areas of the hospital are regulated in a targeted mode by monitoring application scene information, the air conditioner operation performance and the local application effect are guaranteed, and then the application efficiency of an air conditioner system of the hospital is guaranteed; by introducing meteorological platform data and combining historical data, application scene information is predicted, the air conditioner operation performance conditions of the whole hospital air conditioner system and the local medical area are evaluated and predicted, electric power resources are allocated and regulated in advance, stable electric power resource supply operation in the peak period is guaranteed, and the power supply efficiency is improved. Finally, the stable, efficient and flexible energy-saving intelligent air conditioner control effect is achieved.

This invention relates to the field of cross-flow fan technology, and more particularly to a cross-flow fan blade and a cross-flow impeller using the same, comprising a blade body; the blade body is a solid structure, and the outer surface of the blade body includes a pressure surface, a suction surface, and two side surfaces; the two ends of the pressure surface respectively enclose the two ends of the suction surface to form a leading edge and a trailing edge of the blade, both of which have rounded ends; the pressure surface gradually concaves towards the suction surface from one end of the leading edge to one end of the trailing edge, and the size of the leading edge is larger than that of the trailing edge; the cross-sectional thickness of the blade body gradually decreases from one end of the leading edge to one end of the trailing edge; the suction surface has a recessed cut that does not penetrate the pressure surface but penetrates both side surfaces. This invention can solve the problems of severe airflow separation, large inlet air impact, high vortex noise, and low fan efficiency existing in the prior art of cross-flow fan blades.

The invention belongs to the technical field of fresh-cut fruit and vegetable preservation, and particularly relates to a method for controlling browning of fresh-cut fruits and vegetables by using glycollic acid. Researches show that the effect of controlling browning of the fresh-cut fruits and vegetables can be achieved only by soaking the fresh-cut fruits and vegetables in a glycollic acid solution for about half an hour. Therefore, the invention provides an application of glycollic acid as or in preparation of an anti-browning agent or preservative, and a preservation method for controlling browning of fresh-cut fruits and vegetables by utilizing glycollic acid. The method is good in anti-browning effect and stable in effect; and glycollic acid is derived from plants, is natural in components, is very high in safety, and does not affect the food safety. The method can be completed without additional professional equipment, and has the advantages of being simple to operate, low in equipment requirement and easy to implement. Moreover, glycollic acid in the method can achieve a remarkable browning control effect as a unique effective component, is used as an anti-browning agent or preservative, and is simpler in component and low in cost. The technology provided by the invention has very good application value.

The invention discloses a centralized and safe acquisition method for PLC data in the same network segment of multiple production lines. The method comprises the following steps: S1, configuring a data acquisition network hardware environment of multiple units; s2, setting a network environment; s3, configuring bidirectional isolation of different IP network segments and carrying out communication; s4, controlling data acquisition and transmission of the plurality of units; and S5, controlling data receiving and centralized display of the plurality of units. The invention also discloses a centralized safety acquisition system for PLC data in the same network segment of multiple production lines. According to the invention, each production line control network can be isolated from a centralized acquisition network, but a bidirectional communication function can be implemented, and the network communication reliability of the system is improved.

The present invention discloses a medical universal telescopic drill, a control method and an application thereof; the present invention relates to the technical field of dental surgical instruments; the present invention comprises a telescopic component 3 which is telescopically and universally adjusted in the main body component 2, the telescopic component 3 comprises a plurality of small free bodies 302 with dipole moments, the telescopic and universal adjustments can be performed separately or simultaneously; a discretized PID controller receives a target value tv (desired magnetic field strength and direction) and an actual feedback value fv (current magnetic field strength and direction) as inputs; an error E between the target value tv and the feedback value fv is calculated; the present invention realizes the telescopic and universal angle adjustment of the drill component through electromagnetic control, so that the doctor can position and operate more accurately during the operation, and by combining the discretized PID controller and the bidirectional Bi‑GRU recurrent neural network, the integral action and saturation value of the PID controller can be adjusted in real time to adapt to changes in the system state.

The utility model belongs to the technical field of plant protection unmanned plane, concretely relates to a plant protection unmanned plane airborne spraying device, including frame, be provided with the lift monitoring mechanism in the upper portion of frame, be provided with the rotary spraying mechanism on the lift monitoring mechanism. Through the setting of rotary spraying mechanism, the double -end electric hydraulic telescopic link is started to push the rack transverse movement, and is engaged to install one side gear rotation, makes the rotation axis, the baffle cylinder, the rotation centrifugal spraying subassembly carries out the rotation, the pump body is started to draw out the pesticide in the medicine box through the flow divider, simultaneously starts the rotation centrifugal spraying subassembly and carries out the centrifugal spraying, when needing to the rotation centrifugal spraying subassembly in the baffle cylinder is lifted, can start the electric lifting rod control rotation centrifugal spraying subassembly carries out, through the setting of baffle cylinder, when using, through the baffle cylinder can prevent the turbulent airflow that produces when unmanned plane flies to the pesticide that the spray head sprays carries out dispersion, has guaranteed the stable control effect to the pesticide that sprays, and the practicality is strong.

The present invention relates to a contactor control system of an APF, including a large contactor for controlling the APF grid connection, a small contactor for precharging the APF DC side capacitor, and a contactor control module for controlling the large and small contactors; the contactor control module includes a comprehensive processing module and a large and small contactor control module and an internal unit; wherein, when the system determines that there is no fault, the comprehensive processing module controls the large contactor to open; otherwise, it cannot be opened; when the large contactor is energized, the system cannot be restarted; the small contactor is opened; the DC side voltage detection unit is running, and when the DC side voltage reaches a preset value, the large contactor is opened. The technical solution provided by the present invention can simultaneously have multiple functions such as DC side voltage detection, convenient for reasonable control of large and small contactors, can receive and process instructions issued by users through the screen, can process processing results from the protection module, and can issue power on and off instructions from the board.

The application provides an automatic telescopic dynamic self-balancing intelligent control system and method, and belongs to the technical field of intelligent control. In view of the problems of poor coordination, response lag and weak working condition adaptation ability of the existing automatic telescopic operation equipment, the system comprises a sensing module, a control module, an execution module, a communication module and an alarm module. The control module adopts a multi-loop program controller, constructs a multivariable collaborative control loop and is internally provided with an adaptive adjustment algorithm. The corresponding method realizes the synchronous control of equipment telescoping and balancing through parameter initialization, real-time parameter acquisition, collaborative instruction generation, dynamic adaptive adjustment, abnormal monitoring and reset process. The application improves the equipment control precision, response speed and running stability, and adapts to the application requirements of various telescopic operation equipment.

The invention discloses an improved dead-beat current prediction control method based on Jure criterion, and the method specifically comprises the following steps: 1, collecting the grid-side inductive current and grid-connected point voltage of a T-type three-level inverter, and constructing a mathematical model under an alpha-beta coordinate system; 2, performing forward Euler discretization on the model constructed in the step 1 to obtain a deadbeat current prediction control model after order reduction; 3, predicting the control model obtained in the step 2 by using Newton interpolation to obtain predicted current and voltage; 4, converting the prediction result obtained in the step 3 to obtain the output voltage of the inverter; 5, solving the value range of lambda through a Jure criterion; and step 6, according to a solving result in the step 5, utilizing a pulse signal to drive on-off of a switching tube in the converter. According to the invention, the problem that the existing deadbeat current prediction control precision and the dynamic performance are not high is solved.

The invention discloses a reactive power increment consistency control method for a micro-grid based on feedback correction, and relates to a reactive power coordination and sharing control method for the micro-grid. The method comprises the following steps: step 1, aiming at a reactive voltage coordination and equalization problem of the hybrid microgrid, considering an information interaction effect between distributed power supplies, and establishing a distributed reactive increment consistency coordination control framework; 2, performing distributed secondary control on the distributed power supply based on a distributed consistency cooperative control algorithm under a consistency cooperative control framework; and 3, considering the actual operation state of the microgrid, adding a real-time feedback correction link, and carrying out dynamic feedback on the output quantity of each distributed power supply. According to the method, a hybrid micro-grid simulation model is established on a PSCAD / EMTDC platform, and a matrix laboratory (MATLAB) system is combined to program the consistency feedback correction algorithm, so that distributed optimization control of the hybrid micro-grid is realized, the proposed control method is simulated and verified, and the effectiveness of the proposed algorithm is proved.

This disclosure provides a robot motion control policy network training method, robot motion control method, device, equipment, robot, and storage medium based on deep reinforcement learning, relating to the field of robotics technology. This disclosure predicts future hidden states by utilizing body perception data and terrain perception data from the robot's historical state data. This enables the motion control policy network to learn the temporal patterns of the robot's body perception data and terrain perception data. Based on these temporal patterns, the motion control policy network can combine the currently perceived and processed terrain states to probabilistically predict unobserved terrain states ahead. This allows for dynamic adjustments to gait parameters, body posture, and other control quantities in advance during subsequent movement, improving the continuity and stability of the entire movement trajectory, avoiding problems such as falls, and significantly improving the robot's control performance in challenging tasks such as running and climbing.

The invention discloses a safety switch device and a circuit break control system, and relates to the technical field of power supply, and the safety switch device comprises a circuit breaker, a controller and an HPLC module. Through connection of the HPLC module and the northbound network, modulation carrier waves can be transmitted through a power line so that high-speed communication with strong anti-interference capability can be realized between the controller and the northbound network, and a user can quickly and accurately send a control instruction through the northbound network and transmit the control instruction to the controller through the HPLC module. And the controller controls the on-off state of the circuit breaker according to the received control instruction, so that the on-off state of a connection loop between two sections of power transmission cables can be quickly, accurately and remotely switched. The situation that remote wireless control over the circuit breaker fails due to huge electromagnetic interference generated when the power transmission cable transmits high voltage is avoided. The control speed is higher, the control effect is more stable, and the safety of the power transmission cable can be effectively ensured.

The embodiment of the invention provides a power system control method and device under wireless communication time delay and attack, and the method comprises the steps: building a double-region networking power system reduced-order closed-loop transfer function according to a double-region networking power system model, and obtaining a region control error after the double-region networking power system is attacked by a wireless network; according to the reduced-order closed-loop transfer function, an FIMC-PID controller is established; according to a stability criterion, obtaining a parameter analysis range of the FIMC-PID controller; based on the parameter analysis range, optimizing the parameters of the controller through a variation particle swarm genetic algorithm until the regional control error converges, and obtaining the optimal value of the parameters of the controller; and controlling the dual-region networked power system by using the controller configured with the parameter optimal value. According to the embodiment of the invention, the problem that the system is unstable when the dual-region networked power system is subjected to wireless communication time delay and wireless network attack can be solved with low difficulty and low cost.

The present invention provides a real-time data monitoring system in a knitted fabric production process, which relates to the field of data monitoring technology, and includes: a real-time monitoring module, which is used to directly collect actual production data from equipment and the environment of a production workshop through various sensors; a data analysis module, which is used to compare the initial prediction value of a prediction model with the actual production data to output the final prediction data, and generate optimization parameters according to the final prediction data; a prediction production module, which is used to establish a virtual production model according to the actual production data, and the prediction model predicts the initial prediction value of the output variable based on the input data; a dynamic adjustment module, which is used to generate a dynamic deviation threshold according to deviation trend data, and generate a corresponding adjustment strategy according to whether the deviation value falls within the deviation threshold. The present invention improves the accuracy and stability of the production process and reduces the influence of human factors.

The invention relates to the technical field of fuel cells, and discloses a control method for efficient range extension of a hydrogen fuel cell, which comprises the following steps of: establishing a multi-dimensional probability density function of random interference data in a hydrogen fuel cell system model in a manner of establishing the hydrogen fuel cell system model and collecting operation data of the hydrogen fuel cell system model; a multi-dimensional probability density function is constructed, a chaotic polynomial orthogonal basis function is constructed by using the constructed multi-dimensional probability density function, the randomness in the hydrogen fuel cell system is processed by using chaotic expansion of the chaotic basis function, random uncertain parameters of the hydrogen fuel cell system are converted to obtain a deterministic model, and the hydrogen fuel cell system is controlled through the deterministic model. And the control of the hydrogen fuel cell system is more efficient.

A real-time optimization control method for cooling tower outlet water temperature in an ice machine system includes the following steps: determining whether to execute the cooling tower start-up phase; if so, querying the ice machine system experience database; if the determination result is that the cooling tower start-up phase is not required, executing the cooling tower operation phase, running the cooling tower outlet water temperature model, and outputting and updating the optimal cooling water outlet temperature; running the control parameter optimization model, optimizing and outputting the control model parameters and corresponding thresholds based on the current operating conditions and control effect; determining whether to switch in or out of the fan; if the determination result is that it is required, executing the switch-in or switch-out action before proceeding to the next step; if the determination result is that it is not required, directly executing the next step; running the cooling tower fan frequency adjustment model to determine the optimal operating frequency; and executing the number of fans and frequency control.

The present invention provides a stacking bottling control method and system integrating image and photoelectric sensors, including: obtaining signals collected by photoelectric sensor array, pressure sensor and vibration sensor, filtering and time alignment processing, and obtaining a multi-source synchronous data matrix; preprocessing and feature extraction of images collected by visual cameras to obtain visual reference data; based on the multi-source synchronous data matrix and visual reference data, evaluating the vibration, track and speed state of the equipment to obtain a mechanism state vector; analyzing the separation, posture and stacking state of tablets to obtain a tablet state vector; generating and optimizing speed control, timing control and synchronization control instructions according to the mechanism state vector and the tablet state vector; and evaluating the control effect in real time and performing parameter optimization. Through multi-sensor data fusion and multi-level control strategy optimization, the control accuracy and stability of the bottling process are improved.

The application discloses an electric equipment cooperative control method and system, and relates to the technical field of unmanned ship control; the technical points are as follows: through space-time-electromagnetic double-dimension synchronous preprocessing, taking the geomagnetic detection sampling time sequence as a core reference, the phase reference alignment of the power supply time sequence, the equipment operation time sequence and the detection sampling time sequence is carried out, so that the electric interference peak value is avoided from falling into the detection sampling window; in addition, on the basis, through matching the cooperative control decision value, three cooperative operations of power supply ripple reverse offset, equipment time sequence and detection window avoidance, and ship body posture and detection sampling phase lock are executed, active offset and accurate avoidance of electromagnetic interference are carried out from the power supply source, equipment operation and detection sampling, the problem that the prior art can only realize passive interference attenuation through physical isolation and hardware shielding, and cannot eliminate the interference source through electric cooperative control is solved, and thus the electromagnetic interference suppression efficiency of the geomagnetic detection channel and the signal-to-noise ratio of the geomagnetic detection data are improved.

The utility model belongs to the technical field of belt tensioning equipment, concretely is a kind of belt tensioning system based on composite variable control. Including tensioning trolley, the driven roller of belt conveyor is installed on the tensioning trolley, tensioning oil cylinder, the tensioning oil cylinder output end connection tensioning trolley, and tensioning oil cylinder is fixed on cement platform;Analog output type pressure sensor, the pressure of tensioning oil cylinder is detected by analog output type pressure sensor;Belt scale, the belt scale is arranged on the belt on belt conveyor, for time detection belt machine load change condition;Rotational speed detection switch element, rotational speed detection switch element is arranged in the driven roller of belt conveyor, for detecting the rotational speed of driven roller;Hydraulic system, the hydraulic system controls tensioning oil cylinder;Control system, the information of analog output type pressure sensor, belt scale and rotational speed detection switch element is collected by control system, and the instruction information of hydraulic system output is controlled.

The application discloses an aluminum wheel die-casting mold temperature closed-loop regulation and control system and method, belongs to the field of aluminum alloy die-casting forming and intelligent control technology, and comprises a data acquisition module, specifically temperature sensors, flow sensors and pressure sensors arranged at key positions of a mold, a prediction module in communication connection with the data acquisition module, a CNN-LSTM composite neural network model adopted by the prediction module, an optimization decision module in communication connection with the prediction module and providing a prediction value, an integrated tree structure Pareto estimator TPE adopted by the optimization decision module, an execution control module provided with optimal decisions by the optimization decision module, the execution control module being a PLC controller, and a feedback learning module arranged for online updating of the prediction model and the optimization strategy according to control effect data. The application can effectively reduce energy consumption and manual intervention cost, and has remarkable practical value and economic value.

The application relates to a surgical instrument and an actuator thereof, the actuator comprising a fixed base, a first clamping sheet and a second clamping sheet, the first clamping sheet and the second clamping sheet being oppositely arranged and connected to the fixed base, the actuator further comprising a push knife, a connecting shaft, a base rotating shaft, a first connecting assembly and a second connecting assembly, the push knife being connected to the first connecting assembly and capable of linear motion under the push / pull of the first connecting assembly to control the opening and closing of the actuator, the connecting shaft being hinged to the second connecting assembly and capable of rotary motion around the base rotating shaft under the push / pull of the second connecting assembly to control the pitching of the actuator. The actuator of the application can be flexibly pitched and opened and closed through the push of the two connecting assemblies, and can bear a larger tensile and compressive force.

The invention provides a fuel cell air supply system based on a vortex air compressor and a control method thereof.The air supply system comprises a fuel cell stack and a controller, and an air filter, the vortex air compressor, an intercooler and a humidifier are sequentially arranged on an air inlet pipeline of the fuel cell stack in the air inlet path direction; a back pressure valve and a humidifier are sequentially arranged on the air outlet pipeline in the air outlet path direction; the controller is electrically connected with the vortex air compressor, the intercooler, the fuel cell stack and the back pressure valve, and a control method of the controller comprises an outer ring peroxide ratio control strategy based on the self-adaptive model prediction controller and further comprises an inner ring flow control strategy and a pressure cooperative control strategy based on the improved active disturbance rejection controller. The air system is reasonably arranged, the air supply amount and the pressure quickly respond to the load power request through cooperative control over key components of the system, the dynamic performance of the fuel cell is improved, and the service life of the fuel cell is prolonged.

The present invention relates to the field of fluid delivery technology, and in particular to a delivery meter and an infusion device, comprising a base, a rotating cylinder and two pistons, the rotating cylinder comprising two chambers arranged with its axis as the axis of symmetry, each chamber comprising a first chamber section and a second chamber section arranged in sequence in a direction away from the axis, the first chamber section being used to contain fluid, the second chamber section being configured with a notch, the two pistons being respectively located in the two chambers, and the two pistons being respectively provided with a driving rod, a first groove being provided on the base, the driving rod passing through the notch into the first groove, and moving along the first groove along a cam profile, the axis passing through the center of the base circle of the cam profile; a fluid inlet and a fluid outlet arranged along the center line of the cam profile are provided inside the base, and the fluid inlet and the fluid outlet are respectively connected with the two first chamber sections. The present invention has continuous linear flow, high precision, low cost, a wide flow rate and flow range and a wide application range.

This invention discloses a real-time wireless communication system for mine shafts, belonging to the field of wireless communication technology. It includes a distributed wireless communication node set, a sparse observation node set, an interference reference acquisition node, and a controller. The distributed wireless communication node set is deployed along the shaft depth to form a multi-hop wireless communication network and carries communication services including at least alarm services. By setting up a sparse observation node set within the shaft and introducing a structured electromagnetic interference reference sequence output by the interference reference acquisition node, the controller can construct and continuously update a shaft propagation parameter field that varies with depth. This allows key propagation characteristics such as propagation attenuation, delay spread, and interference intensity to have quantifiable, alignable, and reproducible expressions. Therefore, compared to schemes relying solely on fixed configurations or single-point empirical measurements, this system can more accurately reflect the differentiated propagation environment along the shaft depth and improve the effectiveness of environmental modeling.

This invention discloses a linkage control method for intelligent security devices based on reinforcement learning, comprising the following steps: collecting security data in the target security area and splitting the security event trajectory set; performing feature encoding on the security event trajectory set to form a trajectory encoding set; comprehensively evaluating the trajectory encoding set to obtain event trajectories with weighted terminal rewards; inputting the event trajectories with weighted terminal rewards into a reward decomposition model based on the RUDDER algorithm to output a contribution sequence; weighting the terminal rewards according to the contribution sequence to generate a redistribution reward sequence and forming a corresponding linkage control strategy; deploying the linkage control strategy in the security scenario to form online event trajectories; and performing reward decomposition, reward redistribution, and parameter updates based on the online security event trajectories to achieve closed-loop adaptive optimization of the linkage control strategy. This invention realizes linkage control of intelligent security devices.

This invention relates to the field of temperature controller data monitoring technology, specifically to an intelligent monitoring method and system for the status of temperature control equipment. First, current monitoring data, environmental sensor data, and historical data of the temperature control equipment are collected. Then, an environmental impact weight prediction model is used to process the current display monitoring data, environmental sensor data, and historical data in the current monitoring data to obtain the current environmental impact weight. Based on the current environmental impact weight and the current display monitoring data, a display status monitoring value is obtained. Based on the threshold judgment result of the display status monitoring value, the current control monitoring data in the current monitoring data is evaluated using a control monitoring standard value to obtain a control status monitoring value. Based on the threshold judgment result of the control status monitoring value, the current location information and current status monitoring information are input into the temperature control equipment location prediction model and optimized using a particle swarm optimization algorithm to obtain updated location information.

The application discloses a kind of tandem double-cylinder electro-hydraulic actuator control method and system with pressure compensation, belong to aircraft multi-electric actuation system technical field.The application aims at the problem that internal " force contention " and additional energy consumption are caused by the output pressure difference of tandem double-cylinder electro-hydraulic actuator due to the inconsistency of double-cylinder parameters, and proposes the following technical solutions: receiving target position instruction;The actual output pressure of two actuator cylinders is obtained and the pressure difference is calculated;The pressure difference is input into the pressure compensation controller to generate a compensation signal;The expected speed command in the three-loop control is corrected using the compensation signal to obtain the compensated speed command;Based on the compensated speed command, the motor is controlled through the speed loop and current loop in turn.The application directly compensates the pressure difference of double cylinder, can significantly reduce the overall energy consumption of the system without affecting the displacement tracking accuracy, improve energy utilization efficiency and system robustness, and is easy to upgrade and implement on the existing control architecture.

The present application relates to the technical field of robot motion control, and especially relates to a kind of quadruped robot reinforcement learning motion controller training, simulation, deployment method based on elevation map, the method constructs the asymmetric Actor-Critic deep reinforcement learning model based on double-estimator hybrid explicit and implicit feature state estimation, and the body state estimator and the terrain state estimator are respectively extracted body perception implicit feature and foot end terrain perception implicit feature;Build multiple simulation training terrains and design course teaching mechanism and multiple types of reward functions for training;Respectively build simulation verification environment based on MuJoCo and Gazebo, construct local elevation map by ray detection or laser radar point cloud fusion, and splice as the strategy network input with the body state of robot, the present application effectively improves the motion stability, environmental adaptability and simulation to reality migration reliability of quadruped robot in complex terrain.