8results about How to "Improve dynamic tracking performance" patented technology

This invention provides a vehicle simulation speed correction method and system, relating to the field of vehicle intelligent dynamics modeling technology. The correction method includes the following steps: S1: Input and process simulation data output from the vehicle dynamics simulation model and corresponding real vehicle test data; S2: Construct a dynamic graph structure representing the interaction between state variables based on a preset physical coupling relationship of the vehicle powertrain; S3: Input the simulation data into a GCN and perform graph convolution operations under the constraints of the dynamic graph structure to extract graph embedding feature sequences representing the spatial dependencies between state variables; S4: Input the graph embedding feature sequences into a TCN and perform temporal convolution operations to learn the dynamic evolution law of state variables in the time dimension and output the correction amount of the vehicle simulation speed; S5: Output the result. Based on this, this invention solves the problem that existing correction methods have various limitations in practical applications.

The application discloses a control strategy based on combination of a pre-filter friction compensator and improved repetitive control, and specifically comprises the following steps: step 1, a pre-filter friction compensator is added to a P / PI cascade controller to improve the anti-friction interference capability of a driving system; step 2, a transfer function of an output voltage of the driving system and a tracking error is determined; step 3, specific parameters of a LuGre model in the pre-filter friction compensator are obtained; step 4, a repetitive controller is designed; step 5, an action time period of the repetitive controller determined in step 4 is set at motion commutation to obtain a segmented repetitive control; and step 6, the segmented repetitive control obtained in step 5 is combined with the designed pre-filter friction compensator to form an improved repetitive control framework. The method combines the pre-filter friction compensation control with the segmented repetitive control, greatly improves the error and convergence rate at the motion commutation of each cycle, and reduces the influence of the friction interference on the product processing quality.

This invention relates to the field of digital twin technology, and more particularly to a predictive maintenance platform for the entire lifecycle of a heat dissipation system based on digital twins. The platform includes: a data acquisition module; a model building module; a block partitioning module for determining whether to perform direct partitioning based on regional coupling strength or related partitioning based on heat exchange correlation, according to the fault propagation coefficient; a category analysis module for determining block categories based on temperature deviation and determining whether to adjust the block categories of the second-class blocks based on the contaminant deposition impact and fluid pressure anomaly of the second-class blocks, according to the maximum fluctuation cycle decay rate; an update analysis module for determining the update frequency of each updated block based on a comprehensive evaluation value; and an update optimization module for determining whether to perform optimization adjustments based on the block change coefficient. This invention can improve model update efficiency.

This invention discloses a method for detecting the opening and closing performance of circuit breakers based on dynamic resistance monitoring, belonging to the field of equipment performance testing technology. The method includes: acquiring resistance sensor sampling values ​​during the opening and closing processes of the circuit breaker; constructing a periodic resistance curve based on the resistance sensor sampling values ​​according to each opening and closing cycle; generating a periodic resistance data set; dividing each periodic resistance curve into multiple equally spaced fusion windows; extracting the resistance change slope value, resistance fluctuation amplitude value, and the number of second-order disturbance points in each fusion window to construct a fusion window feature sequence; constructing fitting functions for the resistance change slope value and fluctuation amplitude value based on the multiple fusion window feature sequences of the normal cycle, and superimposing a disturbance response function constructed based on the number of disturbance points; this invention achieves effective identification of performance degradation cycles throughout the entire opening and closing process of the circuit breaker, enhancing the ability to predict and intervene in advance regarding the circuit breaker's operating status.

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.

The invention discloses a photovoltaic array adaptive global maximum power point tracking method and system. The method comprises the following steps: solving global maximum power point reference voltage and global maximum power point reference power output by a photovoltaic array based on current environment data by adopting a two-stage nested multi-strategy particle swarm algorithm; judging whether a preset accurate control switching condition is met or not according to the output power of the photovoltaic array and the global maximum power point reference power; if a precise control switching condition is met, switching to a self-adaptive super-spiral sliding mode control mode, otherwise, maintaining a PI control mode; driving a power switch tube in the DC-DC converter to act by using a PI control mode or a self-adaptive super-spiral sliding mode control mode; according to the method, reference parameters are solved through the two-stage nested multi-strategy optimization particle swarm optimization algorithm, a dual-mode switching mechanism of PI control and self-adaptive super-spiral sliding mode control is matched, accurate and rapid tracking of the global maximum power point in a complex environment is achieved, and steady-state power fluctuation is effectively restrained.

This invention discloses a thermometer fixture suitable for transient processes in cryogenic systems, comprising a front guide tube, a rear guide tube, and a temperature measuring block with a temperature sensor mounting interface. The first end of the front guide tube and the first end of the rear guide tube are respectively connected to process piping, and the second ends of the front guide tube and the rear guide tube are respectively connected to the temperature measuring block. A heat exchange channel is formed inside the temperature measuring block, which communicates with the internal channels of the front and rear guide tubes to form a through-flow fluid channel. The fluid being measured can flow through the heat exchange channel and exchange heat with the temperature measuring block. This invention employs a through-flow structural design, combined with a temperature measuring block made of high thermal conductivity material and an optimized flow channel structure, significantly reducing the thermal inertia and thermal resistance of the temperature measuring system and improving the transient thermal response speed. It is particularly suitable for temperature measurement in cryogenic transient conditions such as superconducting cryogenic systems and modular hydrogen liquefaction equipment in the 20–30 K temperature range.

The application belongs to the field of aerial remote sensing stable platform control method, and relates to an aerial platform control method based on P-I inverse model and self-disturbance sliding mode, which comprises the following steps: a P-I hysteresis nonlinear model of a piezoelectric actuator is established, and an inverse model is constructed as a feedforward controller, which is used for compensating the known hysteresis nonlinearity; a feedback controller containing an extended state observer (ESO) and a super-twisting sliding mode (STSM) is constructed, the ESO is used for estimating the lumped unknown disturbance in real time, and the feedback control quantity is calculated based on the disturbance estimation value through the STSM; finally, the feedforward and feedback control quantities are superposed to drive the stable platform. This control mode can simultaneously solve the hysteresis nonlinearity of a piezoelectric ceramic (PZT) actuator, the chattering problem of a traditional sliding mode and the suppression problem of external strong disturbance, and high-precision tracking and strong robustness of the aerial remote sensing stable platform are realized.