14results about How to "Improve control performance" patented technology

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 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 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.

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.

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 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.

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.