36results about How to "Solve the complex calculation process" patented technology

The invention discloses a torque pulse suppression method of a brushless DC motor in an all speed regulation range. The torque pulse suppression method comprises the steps of dividing two states of low-speed running and high-speed running according to a motor rotational speed obtained by a speed calculation module; and respectively performing torque pulse control according to the following modes with regard to the two states. By the torque pulse suppression method, existing flux linkage and torque dual-loop control based on direct torque control is simplified, the problem of control system complexity due to the torque and flux linkage dual-closed loop is solved, the problem of control algorithm complexity of the system brought by a sliding-mode observer introduced into an existing method for observing a counter potential is solved, and with regard to high-speed running of the motor, the problem of torque pulse caused by different current change rates of a switch-on phase and a switch-off phase is solved.

The invention discloses a circumference SAR multi-target tracking method based on a random finite set and relates to a circumference SAR multi-target tracking method. The invention aims to solve the problem that the traditional multi-target tracking method based on data association is complex in calculation. The method comprises the following steps: 1, performing initial detection on a moving target based on a DPCA-CFAR method to acquire a measuring value of the moving target; 2, according to the measuring value of the moving target, establishing a state vector set and a measuring vector set of multiple moving targets; 3, correcting the acquired measuring vector to acquire a measuring vector after compensation; 4, according to the measuring vector after compensation, establishing a targetstate model and a measuring model; 5, according to the given target state model and the measuring model, performing target tracking based on a GMPHD filter. The method is applied to the fields of a microwave remote sensing technology and radar data processing.

The embodiment of the invention discloses a blood vessel parameter calculation method and device, equipment and a storage medium. The method comprises the steps of determining a to-be-detected grid blood vessel image and a blood flow parameter corresponding to the to-be-detected grid blood vessel image; performing initialization setting on the to-be-detected grid blood vessel image based on the blood flow parameters; and inputting the initialized to-be-detected grid blood vessel image into a pre-trained blood vessel parameter network model to obtain target blood vessel parameters at each gridnode in the output to-be-detected grid blood vessel image. According to the embodiment of the invention, the vascular kinetic parameters are calculated through the vascular parameter network model, the problem of complex calculation of the vascular kinetic parameters is solved, and the calculation efficiency of the vascular kinetic parameters and the accuracy of the calculation result are improved.

The invention discloses a 6R industrial robot inverse kinematics solving method. The method comprises the following steps that a 6R robot geometric simplification model and a D-H table are established; according to the geometric simplification model, a function relational expression between a joint angle of a first joint and spatial coordinates of the origin of a tail end connecting rod coordinatesystem are established; under the condition that the joint angle of the first joint is determined, the spatial position relation of a second connecting rod and a third connecting rod is simplified into a triangle, and a function relational expression of joint angles of the second joint and the third joint is established; under the condition that the joint angles of the first joint, the second joint, the third joint and the fourth joint are determined, z-axis direction vectors of a fourth connecting rod coordinate system, a fifth connecting rod coordinate system and a sixth connecting rod coordinate system are used for establishing a space geometric model with the joint axis of the fifth joint as the center axis, and a joint angle function relational expression of the fifth joint is established firstly through the space geometric model; and then a function relational expression of the joint angles of the fourth joint and the sixth joint is established. According to the 6R industrial robot inverse kinematics solving method, the efficiency and attitude precision of the robot inverse solution method are improved.

The invention discloses a double-bus energy balance analysis method for a spacecraft. The double-bus energy balance analysis method comprises the following steps of calculating solar wing output power by measuring a sun angle of incidence and a shielding area of a solar cell array; calculating load required power by measuring percentage of cable loss power and total power of electric equipment; determining a working state of a storage battery by calculating the solar wing output power and the load required power; determining the charging mode of the storage battery, and determining the current capacity of the storage battery by calculating the charging current and the discharging current; and evaluating the energy balance state of the storage battery according to the initial capacity, the current capacity and the total capacity of the storage battery. According to the double-bus energy balance analysis method, by determining the charging stage of the storage battery, the influence on the electric quantity of the storage battery from different bus voltages under the double buses is distinguished, thereby improving the calculation precision of the double-bus crossed-power-supply energy balance, and solving the problem of complex calculation of the electric quantity of the double-bus crossed-power-supply storage battery.

The invention relates to a TDOA-FOA-based distributed automobile whistling sound source real-time rapid positioning method capable of adapting to a moving sound source. According to the method, a distributed automobile whistling sound source of a monitored vehicle is detected through a plurality of microphones. The method specifically comprises five steps of energy detection, TDOA and FOA measurement, cost function calculation, position estimation and speed estimation and sound source position determination. The invention further relates to a corresponding system and device, a processor and a computer readable storage medium. By adopting the method, the system, the device, the processor and the computer readable storage medium provided by the invention, the bottleneck that a time difference of arrival method is difficult to adapt to a moving sound source is overcome by fully utilizing Doppler information difference among distributed microphones, and compared with a beam forming method, the method can greatly reduce the number of the microphones and operation resources; the method has the advantages of being economical in cost and flexible in deployment; and compared with other methods based on TDOA, the method has the advantages of being low in operation complexity and capable of adapting to a sound source moving at a high speed.

The invention relates to a torque control method and system for an electric power-assisted transport vehicle. When the vehicle steers, the torque of a steering wheel is detected, a signal is transmitted to a controller, the controller correspondingly controls the motor after analysis and processing, and the torque output by the motor is transmitted to a gear and rack steering gear through a speedreducing mechanism and finally output to a turning wheel through a transmission shaft. Specifically, a linear power-assisted characteristic curve is adopted and comprises three areas, namely, a non-power-assisted area, a power-assisted change area and a power-assisted constant area; when the vehicle is parked, steered at a low speed or steered during medium-high speed driving, the running speed ofthe vehicle is detected by a running speed sensor, the detected signals are transmitted to the control unit to have corresponding assistance characteristics, and different assistance currents are applied to the motor to change the rotating speed of the motor, so that the variability of the torque during steering is achieved, and good steering control road feel is guaranteed. The problem that an existing torque control method is complex in calculation is solved.

The invention discloses a voltage reactive power optimization control method based on a fuzzy neural network. The method is specifically implemented according to the following steps: 1, detecting a voltage of a load side of a whole circuit and reactive power flowing into a high-voltage side of a transformer in a voltage reactive power optimization control circuit; 2, selecting a membership function of a fuzzy neural network control system and a defuzzification method of a fuzzy neural system according to the voltage of the load side of the whole circuit and the reactive power flowing into thehigh-voltage side of the transformer, which are detected in the step 1; establishing a voltage reactive power optimization control system of the fuzzy neural network; and 3, substituting the detectedvoltage of the load side of the whole circuit and the reactive power flowing into the high-voltage side of the transformer into the voltage reactive power optimization control system based on the fuzzy neural network; and after normalization processing is performed on an input sample and an output sample, taking as an input quantity and an output quantity of a network learning sample, and completing voltage reactive power optimization control. A problem that in the prior art, a voltage reactive power control method is complex in calculation is solved.

The embodiment of the invention discloses a blood vessel parameter calculation method and device, equipment and a storage medium. The method comprises the steps that an original blood vessel image iscollected, and a blood vessel grid matrix is determined based on the original blood vessel image; and blood vessel parameters corresponding to the original blood vessel image are determined accordingto the blood vessel grid matrix and a pre-trained blood vessel parameter network model. According to the embodiment of the invention, the blood vessel grid matrix is determined based on an original blood vessel image; according to the blood vessel grid matrix and the pre-trained blood vessel parameter network model, the blood vessel parameters corresponding to the original blood vessel image are determined, the problem that the blood vessel parameter calculation process is complex is solved, the training precision of the blood vessel parameter network model can be improved by adopting the blood vessel grid matrix to represent the original blood vessel image, and then the calculation accuracy and precision of the blood vessel parameters are improved.

The invention relates to the technical field of integrated circuit photoetching, in particular to a full-chip rapid simulation method of a negative development photoetching process, a negative development photoresist model, an OPC model and electronic equipment. The full-chip rapid simulation method for the negative development photoetching process comprises the following steps of: analyzing the deformation of photoresist based on elastic mechanics, setting one of stress and strain as the equivalence of the deformation quantity of the photoresist to obtain an equivalent equation, and carryingout approximate calculation on the equivalent equation by selecting a Taylor expansion to obtain an approximate value of the stress or the strain; according to the approximate value, adjusting the light field distribution to obtain proper acid concentration distribution, so that the exposure pattern is closest to the target pattern, the deformation of the photoresist in the thermal shrinkage effect process can be well analyzed, the accuracy in the photoetching calculation process is improved, and meanwhile, the thermal shrinkage effect is fitted by adopting a Taylor expansion method, Therefore, the problem of complex calculation of a full-chip negative development photoetching process is solved.

The invention discloses a clustering boundary detection method, system and equipment based on centroid migration and a medium, relates to the technical field of clustering algorithm optimization, and aims to solve the problem that an existing boundary detection method is complex in calculation. The boundary detection method comprises the steps of firstly calculating a centroid offset index corresponding to each data point in a to-be-clustered data set, then comparing the centroid offset index with a preset threshold value, and determining a clustering boundary point according to a comparison result, so that the clustering boundary point can be rapidly determined, the calculation is simple and convenient, the problem of complex calculation of the existing clustering boundary point is solved, the detection efficiency of the clustering boundary is significantly improved, and the precision of the clustering algorithm is improved. The clustering boundary detection method, system and equipment based on centroid migration, and the medium provided by the invention are used for optimizing the clustering algorithm and improving the clustering precision of the clustering algorithm.

The embodiment of the invention relates to the field of image processing, and discloses a fractal graph style fusion method. The method comprises the steps of extracting a first picture feature of a fractal picture and a second picture feature of a style picture by utilizing a pre-trained hole convolution operation of a style generation network, and fusing the first picture feature and the secondpicture feature to obtain a fused picture. The invention further provides a fractal graph style fusion device, electronic equipment and a computer readable storage medium. According to the embodimentof the invention, the method effectively solves a problem that the calculation is complex in a line-by-line image fusion process through the hole convolution operation.