23results about How to "Reduce overshoot" patented technology

The application provides a control method of a COT conversion circuit, the COT conversion circuit and a chip. The COT conversion circuit is used in connection with an output circuit. The method comprises the following steps: when it is detected that the output voltage of the COT conversion circuit is less than a preset first reference voltage, the COT conversion circuit is controlled to enter a pressure boosting state, and the pressure boosting state is reset through a reset signal; at the generation moment of the reset signal, if it is detected that the output voltage of the COT conversion circuit is still less than the preset first reference voltage, the reset signal is disabled, so that the COT conversion circuit remains in the pressure boosting state; and until it is detected that the output voltage of the COT conversion circuit is greater than a preset second reference voltage, the reset signal is enabled, so that the COT conversion circuit ends the pressure boosting state.

This invention relates to an energy-saving and efficient combustion control method and system for industrial furnaces, belonging to the field of industrial furnace automatic control technology. The method includes: acquiring the industrial furnace zone number; obtaining the corresponding target temperature and current temperature based on the industrial furnace zone number; calculating the temperature difference based on the target temperature and current temperature; when the temperature difference is less than a preset temperature difference threshold, finding the corresponding PID parameter based on the industrial furnace zone number; calculating a first required fuel amount based on the temperature difference and the PID parameter; controlling the zone corresponding to the industrial furnace zone number to add fuel according to the first required fuel amount; when the temperature difference is greater than the preset temperature difference threshold, finding a proportionality coefficient based on the industrial furnace zone number; calculating a second required fuel amount based on the temperature difference and the proportionality coefficient; and controlling the zone corresponding to the industrial furnace zone number to add fuel according to the second required fuel amount. This invention effectively reduces energy waste in industrial furnaces.

The invention relates to the technical field of environmental parameter control, in particular to an automatic control method and system for a goat breeding environment, and the method comprises the steps: collecting and preprocessing a multi-source data sequence in the goat breeding environment; constructing a high-temperature flying dust interference condition and a chemical gas interference condition of any goat breeding house in each control interval; and generating a proportional term regulation factor according to the high-temperature flying dust interference condition and the chemical gas interference condition, and dynamically regulating the proportional term of the ventilation motor power of any goat breeding house in each control interval through the proportional term regulation factor. According to the method, the stability of automatic control of the goat breeding environment is improved by adjusting the PID control proportional item of the ventilation motor of the goat breeding house.

This invention relates to the field of automatic control technology, and in particular to a method and system for asymmetric preset performance control of a cascade continuous stirred reactor without initial conditions. The method includes establishing a mechanistic model of the cascade continuous stirred reactor, transforming it into an error equation for the cascade continuous stirred reactor, pre-specifying that the change in reactant concentration error at the output of the cascade continuous stirred reactor satisfies a banded constraint space, converting the banded constraint space into a symmetric constraint space, constructing a radical-type algebraic saturation function to map the symmetric constraint space into a bounded symmetric constraint space, superimposing an exponential finite-time decay function on the bounded symmetric constraint space to construct a bounded symmetric constraint space without initial conditions, constructing a barrier Lyapunov function based on the bounded symmetric constraint space without initial conditions, and designing an asymmetric preset performance controller without initial conditions using the backstepping method. This invention enables the stable, safe, and rapid operation of the cascade continuous stirred reactor.

The application discloses a control method, equipment and storage medium of a battery thermal management system, and the control method comprises the following contents: A: adjusting the initial frequency of a compressor according to the ambient temperature; B: starting the compressor, and after the compressor is operated at the initial frequency for an initial operation time t, adjusting the working frequency of the compressor according to the water outlet temperature difference w The application can more stably control the water temperature, reduce over-regulation and shutdown conditions, reduce the power consumption of the thermal management system, adjust the power consumption of the electrical equipment in real time according to the water temperature change, stabilize the water temperature at the target water temperature, reduce the power consumption, and ensure that the battery works in the best temperature range.

The invention discloses a relaxation fluctuation suppression method influenced by temperature change of an optical pump atom magnetometer, and the method comprises the following steps: constructing a relaxation noise model influenced by temperature based on the optical pump atom magnetometer, the relaxation noise model comprising a mapping relation between a measurement error of the optical pump atom magnetometer and a gas chamber temperature of an environment where the relaxation noise model is located; based on the mapping relation and the heat transfer principle, an air chamber heating thermal model is constructed, and the air chamber heating thermal model describes the dynamic relation between the heating film input voltage and the air chamber temperature; updating parameters of the air chamber heating thermal model in real time by applying a self-adaptive model predictive control algorithm; on the basis of the updated thermal model parameters, model predictive control algorithm control is executed so as to restrain air chamber temperature fluctuation, and then relaxation fluctuation of atoms in the optical pump atom magnetometer is restrained; the establishment time and overshoot of air chamber heating are effectively reduced, the low-frequency noise level of the optical pump atom magnetometer is reduced, and the measurement sensitivity is improved.

A variable slew rate hybrid gate driver for a power module. A gate driver for providing slew rate (SR) control of a power module (PM) includes an input port for receiving a pulse width modulation (PWM) control signal transmitted from a processing system, a voltage source controlled by the PWM signal and having an output coupled to a respective gate of at least one first transistor of a hybrid switch in the PM, and a gate resistor. The hybrid switch includes at least one first transistor and at least one second transistor, each transistor including a different semiconductor technology. The gate driver also includes a current source controlled by the PWM signal and having an output coupled to a respective gate of at least one second transistor of the hybrid switch in the PM. The voltage source, the gate resistor, and the current source are configured to provide SR control of the PM to thereby compensate for different semiconductor technologies in real time.

This invention relates to the field of temperature control technology in industrial process control, specifically disclosing a method, system, and insulation box for temperature control with PID parameter self-tuning. The method sequentially outputs N square wave on / off control signals with increasing amplitudes to the controlled object, recording the asymmetry ratio and temporary offset at each amplitude, constructing an asymmetry ratio-amplitude response sequence and an offset-amplitude response sequence respectively; a particle swarm optimization algorithm is used to identify distortion points in the offset-amplitude response sequence, and the direction of integral time correction is determined based on the location of the distortion points; the asymmetry ratio-amplitude response sequence is extrapolated to zero amplitude to obtain the equilibrium asymmetry ratio; based on the equilibrium asymmetry ratio and the direction of integral time correction, the baseline PID parameters are determined, and the complete tuning result is output after superimposing multi-dimensional correction coefficients. This invention solves the technical defect of parameter mismatch in existing self-tuning methods under asymmetric heating and cooling scenarios, and realizes collaborative adaptive tuning of multi-dimensional PID parameters.

The invention provides a gas flow control method and system applied to a solid-state working medium electric propulsion system, and the method comprises the steps: firstly constructing a second-order nonlinear prediction model from heating power to output flow in order to solve the problems of strong nonlinearity, multivariable coupling and strict safety constraints in a solid-state iodine sublimation process; the model accurately depicts a complete physical process of heating sheet thermal inertia, contact thermal resistance, iodine phase change dynamics and pipeline gas dynamics. And on the basis, rolling optimization is executed in each control cycle: a future flow trajectory is predicted based on a current state and a model, and an optimization problem with constraints is solved online to obtain an optimal heating power sequence. According to the method, high-precision and overshoot-free tracking of the flow is achieved, it is strictly guaranteed that the system operates within safety constraints, and the performance and reliability of the solid-state electric propulsion system are remarkably improved.

The application relates to the technical field of nonlinear electromechanical system control, and discloses a rotary inverted pendulum composite nonlinear feedback tracking control method. The method establishes a nonlinear dynamics model based on the mechanical structure parameters of a rotary inverted pendulum and the driving relationship of a direct-current motor, linearizes the model near a balance point of a pendulum rod, and obtains a state space model with motor control variables as inputs; according to the coupling relationship between each state variable and a control target, the system state vector is decomposed into a pendulum rod stable ring state vector and a rotary arm tracking ring state vector, the pendulum rod stable ring constructs a pendulum rod stable control law to keep the pendulum rod upright, and the rotary arm tracking ring constructs a composite nonlinear feedback control law on the basis of the pendulum rod stability. The composite nonlinear feedback control law takes the rotary arm position tracking error as a regulating variable, adjusts the feedback strength through a non-positive bounded nonlinear function, strengthens the damping action when the rotary arm approaches the target position, thereby reducing the overshoot and oscillation in the position tracking process, and improving the rapidity and stability of the tracking response.

The present application relates to the field of textile machinery and fluid control technology, in particular to a liquid injection flow regulation system of a yarn processing device; the system comprises a liquid supply pipeline, a flow sensor, a pressure sensor, a temperature sensor, a main regulation actuator, an auxiliary regulation actuator and an injection component, adopts a control architecture based on cross-time domain dynamic decoupling and adaptive compensation, collects yarn linear velocity, tension and liquid injection flow, pressure and temperature, maps the linear velocity and tension into target flow demand, and decomposes the pipeline dead time and inertia time constant into low-frequency reference components and high-frequency compensation components after identification, and the main and auxiliary actuator branches are cooperatively regulated, and prediction compensation and online parameter correction are simultaneously performed, so as to improve the response speed and stability of liquid injection regulation.

A method of processing video data performed by an encoder is provided. The method comprises the following steps: acquiring a plurality of original images from original video data; a plurality of reference images are obtained, each reference image in the plurality of reference images corresponds to an original image in original video data, and the resolution of the plurality of reference images is lower than the resolution of the plurality of original images in the original video data; performing up-sampling on the plurality of reference images to obtain a plurality of up-sampled reference images; a weighted filter is obtained to reduce overall error between the plurality of up-sampled reference images and corresponding original images by determining a weighted mapping for each reference image using a weighted mapping function, the weighted mapping comprising a plurality of weights mapped to respective spatial locations of the plurality of up-sampled reference images, and determining a filter that is applied to the plurality of up-sampled reference images by respective weighted mappings to obtain a filtered up-sampled reference image such that the filter is applied to different spatial positions of the plurality of up-sampled reference images with different weights; performing inter prediction on a plurality of blocks of the first image based on a plurality of reference blocks in one or more of the plurality of up-sampled reference images; and encoding the video data encoding information into a code stream, the encoding information comprising information on the weight mapping function and / or the filter to be used at a decoder, where the method further comprises applying the weight filter to the plurality of upsampled reference pictures prior to performing the inter prediction, and applying the weight filter to the plurality of upsampled reference pictures prior to performing the inter prediction. Or during the inter prediction, applying the weighting filter to an up-sampled reference block of the plurality of reference pictures.

This invention belongs to the field of satellite navigation and positioning technology, and discloses a satellite navigation and positioning optimization method and system based on inertial behavior. The method includes: acquiring inertial measurement data and satellite navigation observations, performing time alignment and preprocessing to form a synchronous observation sequence; extracting inertial behavior features such as angular velocity, linear acceleration, and their rate of change, and performing behavior identification, outputting behavior categories and confidence levels; performing online change point detection based on the identification results, determining behavior switching change points, and dividing behavior segments; setting the process noise covariance of inertial pre-integration factors according to behavior segments in the factor graph, and adaptively adjusting the weights of satellite navigation observation factors and behavior constraint factors according to confidence levels, and controlling the activation and deactivation of behavior constraint factors according to behavior categories; and using the incremental smoothing algorithm iSAM2 to incrementally optimize and output the position of each epoch. This scheme can reduce estimation lag, overshoot, and error amplification in scenarios of sudden behavior changes, improving positioning accuracy and robustness.

The invention discloses a fixed base mechanical arm point-to-point trajectory optimization method based on a near-end strategy optimization algorithm, solves the problem that a high-dimensional continuous action space exists when deep reinforcement learning is directly used for a fixed base mechanical arm tail end position to reach a task, and belongs to the field of robot operation control and mechanical arm autonomous motion optimization. The method comprises the steps that a mechanical arm kinematics model is established, and constraint conditions are defined; modeling a tail end point-to-point arrival task as a sequential decision process, constructing a state vector as the input of a strategy network, and taking a tail end displacement increment direction vector as the action output of the strategy network; mapping the tail end displacement increment direction vector into a joint increment through differential inverse kinematics, and performing constraint processing according to a constraint condition to generate an executable joint control instruction; and training the strategy network by adopting a near-end strategy optimization algorithm, obtaining a single-step reward through a multi-target reward function, and evaluating the performance output by the action of the strategy network according to the single-step reward until convergence.

This invention provides a pesticide spraying flow control system based on multi-sensor information fusion, comprising a multi-sensor information acquisition unit, a central control unit, and an execution drive unit. The multi-sensor information acquisition unit is used to collect data in real time on the travel speed, terrain slope, pesticide viscosity, and pipeline flow rate during pesticide spraying operations. The central control unit is configured to: perform parallel advance prediction; generate feedforward control quantities based on the advance prediction results and a dynamic compensation model; the dynamic compensation model is configured to perform coupled compensation based on the terrain slope angle and its rate of change, and compensation based on the temperature-calibrated pesticide viscosity; adaptively tune control parameters online and generate feedback control quantities based on the deviation between the real-time pipeline flow rate and the target flow rate; and weightedly fuse the feedforward control quantities and feedback control quantities to generate a total control command. The execution drive unit is used to adjust the opening of the flow regulating valve according to the total control command to achieve closed-loop control of the spraying flow rate.

This invention discloses an SCR ammonia injection control method and system. First, a PLS regression is constructed by collecting signals such as inlet / outlet NOx, flue gas volume, temperature, oxygen content, and ammonia flow rate. The regression coefficients are then used as state variables and updated online adaptively by Kalman filtering. Next, the ammonia injection quantity is calculated using SCR stoichiometry as feedforward, and model-based feedback correction and inlet NOx slope disturbance feedforward are introduced. Combined with operating condition fluctuation detection, valve smoothing, and amplitude limiting, ammonia injection valve commands are generated, achieving stable control of outlet NOx near a narrow-band setpoint, reducing ammonia consumption and valve adjustment frequency.

This utility model relates to the field of circuit equipment technology and discloses a busbar copper bus structure for improving parasitic inductance. It includes an improved busbar copper bus and a non-improved busbar copper bus. The improved busbar copper bus has a copper busbar substrate in the middle, a bent portion fixedly connected to the top of the substrate, a connecting portion fixedly connected to the top of the bent portion, and wiring extension plates fixedly connected to the lower sides of both sides of the substrate. A bent plate is fixedly connected to the other end of each wiring extension plate, and a wiring plate is fixedly connected to the other end of each bent plate. This busbar copper bus structure for improving parasitic inductance has a short distance of 17.5mm from the positive terminal of the positive busbar copper bus to the positive capacitor terminal, resulting in a shorter current path and better overall performance. It achieves the following technical effects: 1. Reduced parasitic inductance; 2. Improved dynamic response; 3. Optimized current sharing and thermal performance; 4. Suppression of electromagnetic interference (EMI); 5. Maximized capacitor efficiency.

This invention belongs to the field of integrated circuit design and microarchitecture technology, and provides a high-bandwidth AI computing chip based on the Chiplet chip architecture and its acceleration method. The method constructs a hardware-enforced data closed loop including read and adaptive prefetching steps, data format rearrangement and inversion steps, systolic tensor calculation triggering steps, bandwidth prediction and allocation steps, dynamic data stream scheduling steps, full-reduce parallel communication steps, and pipeline bubble elimination steps. The memory access acceleration engine outputs prefetched key-value cache data blocks and unformatted weight data blocks through an adaptive prefetching algorithm; the tensor rearrangement engine performs address mapping inversion operations to output column-major weight tensors; the systolic array performs point accumulation and addition operations to generate transmission request trigger signals; and the dynamic bandwidth allocation module outputs predicted bandwidth allocation instructions based on an exponentially weighted moving average algorithm. This invention significantly reduces communication latency, eliminates pipeline bubbles, and improves energy efficiency at the physical level.

The application discloses a fuzzy PI PWM control method applied to a BOOST circuit and belongs to the technical field of power electronics. According to the method, the initial values of a group of proportional coefficients and integral coefficients with the highest boost efficiency are debugged in advance, fuzzy PI control parameters are generated, proportional coefficient correction amounts and integral coefficient correction amounts corresponding to different output voltage deviation amounts and output voltage change rates are generated and stored in a memory in a table form, then the output voltage is sampled at a fixed time, the output voltage deviation amount and the output voltage change rate are calculated, the proportional coefficient correction amount and the integral coefficient correction amount are quickly obtained by table lookup, and then the next round of proportional coefficient and integral coefficient are calculated and used for PI control of a voltage loop. The method improves the tracking precision of the output voltage, avoids the need for fuzzy PI recalculation each time, significantly reduces the number of floating point operations in adaptive fuzzy PI control, and reduces the operation burden of a single-chip microcomputer.

The invention provides a powder flow precise control and real-time adjustment method for quantitative powder packaging, which comprises the following steps of: identifying dynamic model parameters of an actuating mechanism by utilizing a recursive augmented least square method through periodically injecting lightweight excitation signals and accurately collecting input and output time sequence data; a preset nonlinear rule mapping relation is combined to automatically convert into an optimal PID control parameter, and exponential weighted average is adopted to realize smooth transition of the parameter, so that system disturbance is avoided; according to the method, the characteristic change of an executing mechanism can be matched in real time, and the powder flow adjusting precision and the system robustness are improved.

This invention discloses a method for controlling the elongation rate of a continuous six-roll cold rolling leveling mill, comprising the following steps: collecting actual production data of the cold rolling production line; monitoring the tracking data of the cold rolling production line, using a field control PLC to read the strip production data, and establishing a linear regression model between the strip thickness, width, target elongation, and PID control parameters; selecting the optimal PID control parameters based on the target elongation rate of the strip, and using a PID controller to regulate the elongation rate of the strip, allowing the strip to enter the leveling process; detecting whether the elongation rate of the strip changes during the leveling process, and if it changes, readjusting the PID control parameters; if it does not change, maintaining the current PID control parameters until the end of the strip completes the leveling process. This method can automatically adjust the strip elongation rate according to different specifications of strip, reducing overshoot and adjustment time for different steel grades, reducing the mismatch between the beginning and end elongation lengths, and improving the strip yield.

This invention discloses a servo motor speed control method and apparatus based on predictive model optimization, relating to the field of motor control technology. The method includes: acquiring gradient data by collecting servo motor operating state data at a high sampling rate using an electrical power device; analyzing the gradient data using a pre-trained predictive model to obtain peak gradient data; outputting a predicted transient adhesion resistance value of the servo motor based on the peak data and a dynamic detection threshold; inputting the predicted resistance value into a feedforward controller to generate a feedforward control command containing a compensation torque; monitoring the servo motor's operating state and adjusting the input parameters of the PID controller according to the operating state using a fuzzy algorithm to output an initial control command; and combining the feedforward control command and the initial control command to generate a speed control command. Through the organic combination of feedforward and feedback, the servo motor can achieve faster, smoother, and more precise speed control under high speed, high load, and complex operating conditions.

The application discloses a driving circuit of a photoelectric conversion chip, which comprises a photoelectric conversion chip, a power supply circuit and a buffer circuit. The photoelectric conversion chip comprises a plurality of photoelectric conversion devices, and the photoelectric conversion devices are used for outputting a sudden avalanche signal in response to avalanche effect of photons. The power supply circuit is connected to the photoelectric conversion chip to supply power to the photoelectric conversion chip. The buffer circuit is arranged between the photoelectric conversion chip and the power supply circuit, and the buffer circuit is used for slowing down the sudden change of the avalanche signal output by the photoelectric conversion device. The application also provides a receiving module, a laser radar, an electronic device and a driving method comprising the above-mentioned photoelectric conversion chip driving circuit.