9results about How to "Improve the compensation effect" patented technology

A broadband voltage transformer error compensation method is proposed. First, a broadband test platform is constructed using a signal generator, power amplifier, standard voltage transformer, and high-bandwidth data acquisition system. The ratio and phase errors of the transformer at multiple frequency points are acquired through primary-side excitation and secondary-side synchronous acquisition. Based on the slope, first derivative, and second derivative characteristics of the error curve, the entire frequency band is adaptively divided into segments. Within each segment, multiple candidate models are fitted using a polynomial or exponential-linear combination model. The optimal model is selected based on the coefficient of determination, mean absolute error, and root mean square error. Ratio and phase error compensators are constructed based on the fitting functions of each segment, and error compensation is achieved using a feedforward approach. This method can significantly reduce amplitude and phase errors over a wide frequency range, improving the dynamic measurement accuracy of the voltage transformer.

The invention belongs to the technical field of motion control of unmanned vehicles, and particularly relates to a robust tracking control method for a differential unmanned vehicle under actuator damage and mass change, which comprises the following steps of: 1, establishing a kinematics model and a dynamics model for the differential unmanned vehicle, qualitatively analyzing the influence of the efficiency damage and the physical quality damage of the actuator in the kinematic model and the dynamical model; 2, designing control inputs with estimated values for the left actuator and the right actuator; step 3, designing a segmented updating law for the estimator, and estimating uncertainty introduced by efficiency damage and physical quality damage of the actuator; and 4, designing a flag bit switching mechanism based on event triggering, and switching the estimator working interval. According to the method, the differential unmanned vehicle can realize stable trajectory tracking under certain actuator efficiency damage and physical quality damage.

The application relates to the technical field of artificial intelligence, and discloses a large model construction method, device, equipment and medium, the method comprising the following steps: performing block processing on a Transformer weight matrix of a target model to form a plurality of sub-matrices; performing low-rank approximation on each sub-matrix through two-dimensional Kronecker decomposition to obtain the Kronecker product of two small matrices corresponding to each sub-matrix; freezing the parameters of all the small matrices, using LoRA to obtain additional parameters corresponding to all the small matrices to obtain a two-dimensional Kronecker-LoRA compression model; taking the target model as a teacher model, and using a data set to train the two-dimensional Kronecker-LoRA compression model to obtain a large model. The method can reduce the parameter size and resource demand of an existing large model, form a suitable large model, effectively reduce performance loss, achieve a balance between high compression rate and high precision, adapt the dynamic reasoning and image processing process depth, and facilitate wide deployment on edge devices.

The invention discloses a high-precision occlusion target identification method based on data enhancement, and mainly solves the problem of low occlusion target identification precision in the prior art. The method comprises the steps of performing adversarial training on an original image data set subjected to standardization preprocessing through a multi-scale discriminator, and constructing an enhanced training data set; designing a multi-scale feature extraction layer, a bidirectional feature pyramid fusion layer and a prediction output layer to realize multi-level integration of shielding features; a composite loss function and a progressive multi-scale training strategy are adopted to collaboratively optimize the network, and the robustness of the model to a shielding target is improved in stages; and a high-precision detection result is output through three-stage filtering. The target identification accuracy under the shielding scene is obviously improved, and the method is suitable for the fields of automatic driving, security and protection monitoring and the like.

The utility model discloses a flexible connecting element for finned tubes of a gasifier and the gasifier, and relates to the technical field of gasifiers. When the finned tube connecting structure is installed, fins of the finned tubes are connected to the finned tube connecting structure, when the vaporizer works, the finned tubes expand with heat and contract with cold, due to the fact that the connecting plate is arranged at the position of the deformation groove, when the finned tubes act on the connecting plate, the deformation groove deforms, and then expansion with heat and contraction with cold of the finned tubes are supplemented. And due to the arrangement of the deformation groove, the deformation amplitude is increased, the compensation capability of the connecting element is improved, the common industrial phenomenon that the joint of the connecting element and the finned tube is cracked due to insufficient compensation in the prior art is solved, and the connection strength and the overall safety of equipment are completely achieved.

The application provides a dynamic prediction method for a coal-fired power plant SCR denitration system based on a parameter identification mechanism-data hybrid model, and relates to the technical field of intelligent modeling and prediction. x The mechanism prediction value of the NO x The application establishes an SCR dynamic mechanism model, completes parameter identification based on historical operation data, obtains the mechanism prediction value of the NO x Concentration and ammonia escape amount, constructs a series model of liquid neural network and long short-term memory network to learn the mechanism model prediction deviation, weights and fuses the mechanism prediction value and the prediction deviation, forms a hybrid model with physical consistency and dynamic adaptability, and realizes high-precision and stable prediction of the SCR outlet NO x Emission and ammonia escape amount under variable load conditions.

This utility model relates to the field of wind power testing technology and discloses a connecting rod coupling for a wind power test bench, solving the problems mentioned in the background art. It includes: a connecting rod coupling for connecting a power source and the test equipment, capable of transmitting power and compensating for deviations during operation; a left transition flange weldment connected to one end of the connecting rod coupling for connecting to the power source; a right transition flange assembly weldment connected to the other end of the connecting rod coupling for connecting to the test equipment; and a tie rod middle section connecting the left and right transition flange weldments, the tie rod middle section providing tension to maintain the structural stability of the coupling. This utility model achieves high load-bearing capacity, efficient deviation compensation, and significant buffering and vibration reduction effects, effectively ensuring the stability and reliability of the wind power test bench during long-term, high-load operation.

The utility model relates to the technical field of expansion joint, specifically relates to a shock absorption expansion joint for heat supply and heating pipeline, both sides of one of two connecting plates are fixedly connected with side frame, and the inside of two side frames is equipped with inner plate, and one end of two inner plates is fixedly connected with the both sides of another connecting plate respectively, fixedly connected with telescopic link between two supporting plates, and the telescopic link is equipped with extrusion spring, and the both ends of extrusion spring are fixedly connected with the side of two supporting plates respectively, through setting up the structure of expansion joint pipe and extrusion spring cooperation effect between two connecting plates, the active buffering mechanism is increased on the basis of traditional bellows or rubber spare, can provide stable elastic support when the pipeline system is heated expansion or contraction, effectively absorbs high frequency vibration, pressure fluctuation and thermal stress impact, avoids the fatigue damage and sealing failure caused by rigid connection, reaches the effect of improving shock absorption effect and structural stability.

A fast reactive current control method and system for converters based on centralized sampling on the grid side is proposed. Based on the spectral characteristics of composite harmonics, a clustering method is used to obtain the cluster center harmonic frequency bands of multiple frequency bands. The resonant peaks are determined based on the principle that each resonant peak covers two adjacent cluster center harmonic frequency bands. The reduction ratio of the delay time in the repetitive controller is determined based on the frequency of each resonant peak and the fundamental frequency, resulting in an improved fast repetitive controller. The delay element in the feedback branch of the improved fast repetitive controller is decomposed into an integer-order delay element and a fractional-order delay element connected in series. The fractional-order delay element is compensated to obtain a compensated fast repetitive controller. The fast repetitive composite controller obtained by connecting the compensated fast repetitive controller in parallel with a PI controller serves as the improved current inner loop. Based on the voltage outer loop and the improved current inner loop, fast reactive current control is achieved, realizing rapid reactive current compensation.