7results about How to "Improve control responsiveness" patented technology

The invention belongs to the technical field of semiconductor mounting and provides multi-temperature-zone chip mounting equipment which comprises a multi-temperature-zone vacuum heating table device and a temperature control system, the multi-temperature-zone vacuum heating table device comprises a vacuum heating disc, a cooling disc and a heat insulation assembly, and the vacuum heating disc is provided with at least one vacuum heating table. The vacuum heating table comprises an internal temperature sensor and a heating element; the cooling disc is controlled by the temperature control system to reduce the temperature of the vacuum heating disc through a cooling medium; the temperature control system comprises a temperature controller and an external temperature sensor, and the temperature controller controls the heating power of the heating element according to an external temperature signal from the external temperature sensor and an internal temperature signal from the internal temperature sensor. According to the scheme, multi-temperature-zone control is carried out by taking the vacuum heating table as a unit, and the temperature controller simultaneously controls the heating power of the heating element and the flux of the cooling medium, so that the surface temperature of the vacuum heating table can be regulated and controlled more quickly.

This invention provides an integrated method for pruning and controlling large-scale models of unmanned aerial vehicles (UAVs), belonging to the field of model lightweighting technology. The proposed method significantly reduces model size and computational load, greatly improves inference speed and control response performance, and enables the deployment of complex neural network controllers on resource-constrained airborne platforms. Simultaneously, the lightweight model maintains or approaches the control accuracy and stability of the original uncompressed model. This method has wide applicability and strong scalability, covering various scenarios from basic flight control to complex mission control, providing a feasible, efficient, and cost-effective solution for applying large models to airborne controllers of UAVs, and possesses high engineering practical value.

The utility model provides a laser pumping drive circuit, and relates to the technical field of drive circuits. The output end of a voltage-controlled constant current source unit is connected with a pumping laser; the output end of the dual-mode current setting unit is connected with the reference input end of the voltage-controlled constant current source unit; the output end of the temperature control driving unit is connected with the thermoelectric refrigerating unit, and the feedback input end of the temperature control driving unit is used for receiving a temperature sensing signal; the analog input end of the multi-channel signal acquisition unit is respectively connected with a current sampling point of the voltage-controlled constant current source unit, the output end of the monitoring photodiode and a temperature sensing signal node; the positive power supply output end and the negative power supply output end of the power supply management unit are respectively connected with the power supply ends of the voltage-controlled constant current source unit and the multi-channel signal acquisition unit, and the enabling control end of the power supply management unit is connected with an external interface and is used for receiving a digital enabling signal and guaranteeing the temperature stability and reliability of the laser pumping drive circuit.

The application provides a kind of factory multi-device beat coordination control method and system, applied to data processing field, specifically specially applicable to the data processing of supervisory purpose;The application constructs beat sequence by real-time operating parameter of processing equipment, and further establishes multi-device beat coupling topological network, realizes the dynamic analysis of beat correlation and disturbance propagation process between multi-devices, compared with the local speed regulation mode of traditional single-device beat, can identify the propagation path and propagation trend of beat disturbance between multi-devices through beat fluctuation frequency, phase difference and buffer oscillation frequency etc. Beat oscillation characteristics, and accurately locate the source device of beat disturbance in combination with preset phase lead relationship, to avoid periodic amplification of beat fluctuation in production line.

The invention discloses a common-mode control method for a capacitor array and electronic equipment, and relates to the technical field of electric power, and the method comprises the steps: constructing an array diagram relation network of a target capacitor array; collecting array state information of the target capacitor array in real time, and initializing node state marks of a plurality of array nodes in the array graph relation network; acquiring a control target of the target capacitor array; defining a calling constraint of the target capacitor array according to the control target, and performing a random calling decision of the target capacitor array according to the calling constraint and the array diagram relation network to obtain an initial calling strategy set; through calling a cost function, carrying out cost evaluation on a plurality of initial calling strategies in the initial calling strategy set, and carrying out optimal selection to obtain a target calling strategy; and transmitting the target calling strategy to an array control unit of the target capacitor array for common-mode control. Therefore, the technical effects of improving the control responsiveness and improving the control balance and economical efficiency are achieved.

The present application relates to the field of automatic control technology, in particular to a direct-fired TO furnace control method based on temperature closed loop, comprising the following steps: obtaining current and historical furnace temperature, burner and exhaust gas data and target furnace temperature, calculating combustion heat input, organic matter oxidation heat and exhaust gas delay, identifying combustion response lag and establishing a prediction model, combining the to-be-responded heat action and candidate output to predict the furnace temperature, comparing the target furnace temperature and selecting the next cycle burner output control. The present application identifies the combustion response lag matched with the working condition, and incorporates the executed non-responded heat and the delayed aligned exhaust gas oxidation heat into the prediction, reflects the heat actual action timing, judges the subsequent heat demand in advance, reduces the repeated combustion, furnace temperature overshoot and gas consumption, and according to the prediction error, respectively corrects the model parameters and the lag time, reduces the influence of intervention and limiting amplitude data, improves the prediction accuracy, control stability and self-adaptive ability under different exhaust gas flow and combustion conditions.

The invention discloses an intelligent prediction system for threshing and separating quality of a soybean combine harvester, and particularly relates to the technical field of intelligent prediction of separating quality. A load attitude coupling space-time description set is constructed, an axial non-uniformity coefficient and a load peak offset are extracted, and a threshing strength axial difference factor is constructed by combining a drum rotating speed; coupling the threshing intensity axial difference factor with the pitch angular velocity to construct an inertial disturbance variable, separating low-frequency rigid body motion and high-frequency threshing characteristic components by using a vibration signal time-frequency decoupling method, and performing distributed prediction on the entrainment loss rate of each axial section by using a time sequence prediction model; on-line self-correction of the model is realized by matching with a dynamic correction factor constructed based on actual measurement deviation and a historical working condition fusion mechanism, and self-adaptive control of threshing energy input is realized by performing closed-loop comparison on the comprehensive quality index and a preset threshold value and adjusting the rotating speed of a roller in a linkage manner.