6 results about "Nonlinear methods" patented technology

The application relates to a kind of electric rudder control quantity increment processing and commutation short-circuit prevention control method and device, method includes: control quantity increment processing step: the output control quantity of previous control cycle is divided into three kinds of conditions greater than 0, less than 0 or equal to 0, the size and symbol of current control quantity are combined, the amplitude of current control quantity is adjusted dynamically to output control quantity increment processing current output control quantity respectively;Commutation short-circuit prevention control step: according to the sign change of the input commutation short-circuit prevention control input quantity and the output control quantity of previous control cycle, the control direction and control quantity size of electric rudder driver control are processed, the commutation short-circuit prevention output logic is executed, and the current output control quantity of commutation short-circuit prevention control is output.The application adopts nonlinear method, solves the problem of electric rudder heating and driver commutation short circuit when electric rudder instruction changes rapidly.

The application proposes an aero-engine health index modeling method fusing linear and nonlinear characteristics, specifically comprising the following steps: arranging a multi-source sensor detection system to collect aero-engine operation state multi-source data; normalizing the collected data and performing reliability screening; based on the remaining sensor data after screening, respectively using VAE to extract nonlinear degradation features and SPCA to extract linear degradation features; according to the obtained nonlinear and linear degradation features, designing dynamic fusion weights, and combining a weighted moving average optimization algorithm to construct a composite health index. The application effectively fuses multi-source sensor data, fully utilizes the complementary characteristics of linear and nonlinear methods, constructs a more reliable composite health index, and can intuitively reflect the degradation state of the aero-engine, providing an important reference for the evaluation of the aero-engine operation state, the prediction of the remaining life and the scientific formulation of the maintenance strategy.

The application discloses a power system dynamic observability calculation method based on a data-driven Koopman operator, belongs to the technical field of power system dynamics and observability analysis, and comprises the following steps: establishing a power system dynamic observability analysis model based on system state variables and measured variables; converting the established dynamic state observability model into an augmented Koopman canonical coordinate system; constructing an observation matrix of the system in the augmented Koopman canonical coordinate system; and calculating the dynamic observability degree of the power system by using a matrix index in the Koopman space. The method of the application uses the data-driven Koopman operator, overcomes the inaccuracy of the model while considering the nonlinear characteristics of the power system dynamic model, effectively solves the low-precision problem of the traditional linear method and the problem of excessive calculation amount of the nonlinear method, and can realize efficient and rapid analysis and calculation of the dynamic observability of the power system.

The invention relates to the technical field of wafer-level test anomaly detection, and discloses a chip wafer-level test anomaly detection method based on multi-dimensional parameter correlation analysis, which comprises the following steps: acquiring and preprocessing wafer test core parameters and equipment operation parameters, constructing a dynamic parameter correlation reference model, and establishing a dynamic parameter correlation reference model; the fusion correlation deviation degree of real-time parameters and a normal correlation coefficient matrix is calculated, a scene exclusive dynamic threshold value is set, explicit and implicit anomaly judgment is completed in combination with a single parameter specification, and anomaly source tracing is achieved through a dynamic correlation list, feature screening and time sequence-space two-dimensional detection. The hybrid algorithm is adopted to calculate the correlation deviation degree, linear and nonlinear methods are fused to screen features, the defect that only dominant anomalies can be recognized in the prior art is broken through, collaborative accurate detection of hidden anomalies and dominant anomalies in specifications is achieved, meanwhile, the anomaly root can be traced, dynamic changes of the wafer manufacturing process are adapted, and the detection accuracy is improved. And the comprehensiveness and accuracy of anomaly detection are improved.

The present application relates to the technical field of non-contact near-infrared spectrum analysis, and discloses a non-contact online near-infrared spectrum analyzer and an analysis method, wherein a main light source and a plurality of auxiliary light sources with characteristic absorption peaks are adopted in a light source module, so that enhanced analysis based on direct response of characteristic wavelengths can be realized, inherent limitations of absorption peak overlap and baseline drift in traditional diffuse reflection spectrum are overcome, prediction accuracy is improved, and measurement effect is optimized. A plurality of optical fibers are adopted in a receiving module, sampling ends of the plurality of optical fibers are uniformly distributed in a circumferential direction, the sampling ends of the plurality of optical fibers are distributed in a high-low manner in a direction perpendicular to a sample, and detection ends of the optical fibers are uniformly arranged in a length direction of a slit of a spectrometer, so that light collection efficiency is greatly improved, utilization efficiency of light source energy is maximized, diffuse reflection / scattering light signals returned from the sample are efficiently captured, and interference of environmental stray light is effectively isolated and weakened. In addition, linear and nonlinear methods are mixedly used in the present application, and higher prediction accuracy is achieved.

The present application relates to the technical field of artificial pancreas, and particularly relates to an optimization method for insulin infusion rate in artificial pancreas, comprising the following steps: S1: establishing a blood glucose control mathematical model, calculating a general expression of insulin infusion rate containing an equivalent part and an equivalent linear equation of insulin concentration error; S2: improving a conventional linear insulin infusion rate method in a closed loop system of artificial pancreas, and proposing a nonlinear method capable of replacing the conventional linear insulin infusion rate, namely a non-smooth infusion rate; S3: optimizing an insulin infusion rate improvement gain parameter in the nonlinear method in step S2, so that the insulin concentration reaches an expected value more quickly, the required maximum infusion rate is smaller, and the consumed energy is also smaller. The optimization method can significantly improve the control speed of the insulin concentration, and the required maximum infusion rate is smaller and the consumed energy is also smaller.