38results about How to "Reduce overshoot" patented technology

The invention provides a microbial fermentation temperature control method based on PID (Proportion Integration Differentiation), which relates to the field of temperature control, and specifically comprises the following steps: constructing microbial fermentation temperature control models including a temperature monitoring model, an improved PID control model, a temperature driving model, a temperature error model and a target function model; the maternal line optimization algorithm is improved, and the improved maternal line optimization algorithm is guided through the target function to set the coefficient of the traditional PID control algorithm to obtain an improved PID control algorithm; normalizing the deviation value of the target temperature and the real-time temperature in a range of [0, 1] to obtain a normalized temperature deviation value of the real-time temperature and the target temperature; the normalized temperature deviation value is input into an improved PID control model, a temperature control signal is output after adjustment through an improved PID control algorithm, the temperature control signal controls and adjusts the microbial fermentation temperature through a temperature driving model, and the microbial fermentation temperature is accurately and rapidly adjusted.

The invention discloses a self-adaptive cruise dead zone processing control system and method, and belongs to the field of intelligent driving. The adaptive cruise dead zone processing control system comprises an ADS module, a BCM module, an environment sensor, an ESP module, a function switch and a center control large screen, the environment sensor is used for sensing external environment information, the ADS module is used for receiving a vehicle body state and a switching signal sent by the BCM module, receiving the external environment information sent by the environment sensor and then conducting transverse and longitudinal control on a vehicle, and the function switch is used for controlling the center control large screen. The BCM module is used for acquiring a vehicle body state and a switching signal of the function switch and transmitting the vehicle body state and the switching signal to the ADS module, and the ESP module is used for performing acceleration and deceleration control and stability control on a vehicle. According to the adaptive cruise dead zone processing control system and method, the adaptability and stability of an adaptive cruise system are improved, the control precision and safety of the adaptive cruise system are improved, and the comfort experience of a driver and passengers in the adaptive cruise process is enhanced.

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.

The application discloses an IBCU plunger cavity rigidity self-learning algorithm and relates to the technical field of hydraulic brake-by-wire systems, and comprises the following steps: triggering a plunger cavity sealing detection state in the IBCU power-on process; when the plunger cavity pressure and the plunger position meet the credible condition, acquiring the pressure data of the plunger cavity in the pressure building process and the corresponding plunger cavity liquid consumption volume data. The application acquires the plunger cavity rigidity parameter through self-learning, realizes individual modeling, and improves the parameter accuracy; optimizes the liquid quantity estimation based on the corrected rigidity parameter, improves the pressure building speed and the control accuracy, especially improves the single round pressure building performance; simultaneously compensates the individual differences, enhances the system consistency, makes the theoretical model and the actuality more matched, and thus improves the overall braking performance and stability.

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.

The present invention provides a vehicle stabilization control method, device and vehicle, wherein the vehicle stabilization control method comprises: obtaining the state parameters of the vehicle; when it is determined that the vehicle is in a sliding slope state according to the state parameters, inputting the target state parameters in the state parameters into a dual-degree-of-freedom controller to obtain a target stabilization torque parameter; wherein the dual-degree-of-freedom controller comprises a first sub-controller and a second sub-controller that performs negative feedback on the first sub-controller; according to the target stabilization torque parameter, controlling the drive motor of the vehicle to output the stabilization torque; the stabilization torque is used to make the vehicle enter a stabilization slope state. When the parameters of the first controller of the dual-degree-of-freedom controller of the present invention are set relatively large, the output stabilization torque parameter can be reduced based on the negative feedback mechanism, thereby reducing the probability of overshoot in the process of controlling the vehicle to stabilize the slope, reducing the vehicle's jumping, and effectively ensuring the stability of the stabilization slope control.

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 present invention provides an AlGaInP-based epitaxial wafer, a preparation method and an LED. The epitaxial wafer comprises, from bottom to top, a substrate, an intermediate layer, an N-type semiconductor layer, an active layer and a P-type semiconductor layer. The N-type semiconductor layer comprises a resonant potential well layer arranged close to the active layer. The resonant potential well layer comprises a potential well sublayer and a potential barrier sublayer arranged at both ends of the potential well sublayer. The potential barrier sublayer is a non-doped AlGaInP sublayer. The potential well sublayer comprises (AlGaInP) sublayers arranged periodically and alternately from bottom to top. x Ga 1‑x ) 0.5 In 0.5 P first sublayer and (Al Y Ga 1‑Y ) 0.5 In 0.5 P second sublayer, the (Al x Ga 1‑x ) 0.5 In 0.5 The bandgap width of the first sublayer of P gradually decreases from bottom to top. Y Ga 1‑Y ) 0.5 In 0.5 The potential barrier of the second sublayer of P is higher than (Al x Ga 1‑x ) 0.5 In 0.5 The potential barrier of the first sublayer of P can cause resonance between the multiple wells, capture more electrons, increase the lateral expansion rate of electrons, reduce the electron movement speed, and reduce the risk of epitaxial wafer breakdown.

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.

An open roof assembly for use in a vehicle roof of a vehicle comprises a moveably arranged closure member for selectively covering or at least partially exposing an opening in the vehicle roof, an electric motor operatively coupled to the closure member through a mechanical drive assembly for moving the closure member, an electric driving unit for providing a supply signal to the electric motor and a control unit operatively coupled to the electric driving unit for controlling operation of the electric motor. The electric driving unit comprises four switching devices in a bridged configuration and the control unit is configured to control a motion of the closure member by controlling operation of the switching devices, and to incur a safety stop during a motion of the closure member by an immediate reversal of a polarity of the supply signal.

The invention relates to the technical field of industrial dust removal, in particular to a cleaning and energy-saving control system and method for an industrial dust removal exhaust system, and the system comprises a bag-type dust collector which is provided with a gas inlet, a gas outlet, a backflushing port and a dust collection part, and is internally provided with a plurality of dust collection bags; industrial waste gas entering from the gas inlet flows out from the gas outlet after being filtered by the dust removal cloth bag. According to the control system, different preset operation frequency parameters of the variable-frequency fan are correspondingly set according to the opening number of the flap valves, after the variable-frequency fan reaches the preset parameters, automatic adjustment is carried out through the pressure difference, and through the pressure adjustment mode combining parameter presetting and PID adjustment, the dust removal efficiency is improved in the starting process of the dust removal system. And the corresponding gulp valve and fan frequency preset values are quickly matched to cope with the change of the tail end point position, and oscillation and overshoot are reduced.

The present application provides a fast charging protection circuit, a fast charging chip, and a fast charging power supply device. The fast charging protection circuit includes a voltage conversion module, a fast charging control module, and a plug-in detection module. The fast charging control module controls the voltage conversion module to output the corresponding fast charging voltage according to the fast charging protocol signal of the external device. The plug-in detection module outputs an unplug signal when it detects that the fast charging protocol signal disappears, wherein the fast charging protocol signal disappears when the external device begins to be unplugged. The fast charging control module controls the voltage conversion module to reduce the output voltage to a preset voltage according to the unplug signal. Among them, the time required from detecting the disappearance of the fast charging protocol signal to starting to reduce the output voltage is less than the time required for the external device to be completely unplugged from the beginning of being unplugged. In this way, the unplugging action of the external device can be detected in advance, and the output voltage can be reduced before the external device is completely unplugged, thereby effectively reducing the overshoot amplitude of the output voltage.

The present invention provides an engine control method and system based on a throttle valve, and relates to the technical field of engine control. The method comprises: combining the gas pressure upstream and downstream of the throttle valve, establishing an engine dynamics model with a throttle valve opening and an engine theoretical output power; linearizing the engine dynamics model under the engine idle condition, and outputting a linearized transfer function model of the engine; constructing an engine disturbance observer; calculating a power deviation value between the current engine output power and the target engine output power; based on the power deviation value, constructing an engine fractional-order PID controller in combination with the disturbance observation value of the disturbance observer as an active compensation item; obtaining a current disturbance estimation value of the engine by using the disturbance observer; inputting the current disturbance estimation value into the fractional-order PID controller, and outputting an actual throttle valve opening; and controlling the engine according to the actual throttle valve opening. The engine control accuracy is improved, and the overshoot phenomenon is reduced.

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.