8results about How to "Improve tracking speed" patented technology

The invention discloses a photovoltaic power generation system maximum power point tracking control method considering time delay, and belongs to the technical field of photovoltaic cell maximum power point tracking control. The method solves the problems that a traditional maximum power point tracking control method is low in tracking precision and low in tracking speed and cannot deal with complex working environments, battery array parameter change and time delay in a system. An averaging method based on time delay is used for averaging a system to obtain an equivalent system, a constant variation formula method based on an ordinary differential equation is used for carrying out quantitative stability analysis on the equivalent system, a quantitative relation between system stability and controller parameters is established, a final controller form is obtained, and the stability of the system is improved. The MPPT tracking control of the photovoltaic cell is realized in a real sense, the tracking precision and the tracking speed are improved, and the power loss of the photovoltaic cell is effectively reduced. The method can be applied to maximum power point tracking control of the photovoltaic power generation system with time delay.

The invention relates to a high and low orbit satellite tracking method based on geomagnetic correction. The method comprises the following steps: constructing a geomagnetic model, calculating an azimuth angle and carrying out magnetic field interference analysis; carrying out factory calibration by utilizing a three-dimensional geometric calibration mode, including horizontal correction and vertical correction; the current azimuth angle and pitch angle are continuously corrected based on the carrier coordinate system by using the signal intensity, and the deviation is obtained so as to continuously approach the real angle; utilizing the known coordinates of the three-dimensional space to inversely calculate the current position; and the current data is corrected by using the big data, so that the current data meets the use requirements. The current attitude angle and the satellite signal receiver are used for tracking the target satellite, and then the known azimuth angle is used for correcting the geomagnetic data, so that the azimuth angle precision is improved, the cost of a phased-array antenna or a mechanical antenna is reduced, the tracking precision is improved, and the tracking speed is improved.

The invention provides a photovoltaic power control method and system based on an improved sparrow search algorithm and a variable step size perturbation and observation method.The method comprises the steps that collected voltage and current serve as input and are transmitted to the improved sparrow search algorithm, iterative training is carried out, whether the number of iterations is reached or not is judged, and if yes, the step size is changed; outputting an optimal fitness value fg and an optimal sparrow position Xbest, namely maximum power and maximum power point voltage, and terminating iterative training of the improved sparrow search algorithm at the same time; detecting the voltage and the current which are iteratively trained by the improved sparrow search algorithm, obtaining a power difference value, calculating a voltage difference value at the same time, and finally, completing the search of the maximum power point according to a variable step size perturbation and observation method. According to the method, the improved sparrow search algorithm is firstly utilized to quickly track the vicinity of the maximum power point, and then the variable step size perturbation and observation method is utilized to finely search the maximum power point, so that the tracking speed and the tracking precision are improved, and meanwhile, the requirements of the MPPT search speed and the search precision are considered.

The invention relates to the technical field of new energy storage and power system energy storage control, and discloses a hybrid energy storage microgrid model control system and method based on alternating current and direct current power distribution, and the system comprises a battery conversion module which is used for providing direct current for a common load; the super capacitor converter module is used for providing alternating current to a pulse power load; a load current estimator for estimating an estimated value of a total load current required for supplying a total load composed of the normal load and the pulse power load; the high-pass filter is used for extracting an alternating-current component from the estimated value of the total load current and taking the alternating-current component as the current reference current of the super-capacitor converter module; and the prediction control model is used for predicting the reference current of the next sampling time point according to the current reference current, and adjusting the alternating current of the super capacitor converter module at the next sampling time point into the reference current of the next sampling time point. According to the invention, the robustness of the power system is enhanced.

The invention provides a target tracking method for fully mechanized coal mining face personnel and equipment based on a neural network and correlation filtering, and the method comprises the steps: calculating a gray difference value based on a previous frame of video image and a current frame of video image for a non-first frame of video image, and filtering the position information of a foreground target according to a gray threshold; obtaining a target position response diagram of a tracking target in the current frame video image according to the foreground target position information, the current frame video image and the trained related filter template; generating a plurality of candidate frames by taking the central point of the target position response diagram as the center, and sending the previous frame of video image, the target frame position information, the current frame of video image and the position information of the plurality of candidate frames into an improved dual modulation target estimation network to obtain the position information of the tracking target; according to the invention, the target mask with the target position information is calculated by using the gray frame difference method, the number of iterations of a correlation filtering algorithm is reduced through filtering of the target mask, and the tracking speed is increased.

The application discloses a photovoltaic flexible power point tracking method and system based on data driving, and the method comprises the following steps: calculating the difference between the output power of a photovoltaic array and a given reference power, and judging whether the flexible power point has been tracked based on the difference; if the flexible power point has not been tracked, applying a disturbance signal to the current output voltage of the photovoltaic array, and obtaining the output power of the photovoltaic array after voltage disturbance; estimating the gradient based on the output power of the photovoltaic array before and after disturbance; updating the output voltage of the photovoltaic array based on the gradient, the reference power, the output voltage and the output power of the photovoltaic array before disturbance; filtering the updated output voltage to obtain the voltage reference value of the photovoltaic array at the next moment; and repeating the above process until the flexible power point is tracked. The application is based on the data driving mode, and does not depend on the photovoltaic array model at all, thereby solving the problem that the photovoltaic array model is difficult to accurately establish.

The invention discloses a denitration system control method based on model predictive control and feedforward disturbance prediction. The method comprises the following steps: establishing an augmented state space model of a denitration system; parameters of the wide-state space model are increased; performing real-time rolling estimation and tracking on a state vector of the augmented state space model by adopting a Kalman filter; the inlet NOx flow is calculated to serve as a feedforward disturbance signal, and a NOx concentration disturbance sequence of the inlet of the denitration system in the future is predicted; designing a model prediction controller based on the augmented state space model, and constructing a constrained optimization problem in a limited prediction time domain; the model prediction controller solves the constrained optimization problem, feedforward compensation is carried out in the solving process through the NOx concentration disturbance sequence, and the optimal ammonia injection control quantity is predicted. According to the method, state estimation and disturbance prediction can be integrated, variable working conditions are adapted, and denitration control is optimized under constraints, so that anti-interference performance and set value tracking quality are improved, ammonia consumption is reduced, and harmful emission of nitrogen oxide is reduced.

The invention relates to the technical field of power system frequency modulation control, and discloses a boiler master control optimal advance control method and system. Extra coal quantity correction composed of the optimal advanced coal quantity increment and the compensation quantity is applied at a time during first change or trend direction switching; wherein the value of the compensation quantity is equal to the optimal advance coal quantity increment of the previous adjustment stage and is only started during direction switching; the system acquires instantaneous deviation after responding, and updates the optimal advance coal quantity increment according to the deviation only when the operation data comprises a continuous lifting and single lifting load conversion stage; according to the method, quick response, adaptive optimization and stable control are realized, and the AGC frequency modulation performance of the thermal power generating unit is remarkably improved.