37results about How to "Solve constraint problems" patented technology

The invention provides a large-scale interconnected power grid spinning reserve risk assessment method based on a state space division method Along with the appearance of a large-scale interconnected power grid, the quantity of elements of a power grid system is sharply increased, and the network scale is further complicated, thus the traditional reserve risk assessment method cannot meet the development requirements of the large-scale interconnected power grid, has the problems of curse of dimensionality in the aspect of state selection and inability of assessment in the aspect of state analysis, and can be influenced by transmission capacity restraint of area connecting lines. In the invention, the system state is selected by using a state space division method and analyzed by using a load reduction technology based on linear programming, thus the method better solves the problems of huge system scale and transmission capacity restraint of the area connecting lines in the spinning reserve risk assessment, realizes the quick and precise calculation of a spinning reserve risk index of the large-scale interconnected power grid, can provide real-time system spinning reserve information for personnel of a dispatching system, is beneficial for the dispatching personnel to taking effective measures in time, improves the reliability level of the system, and reduces the power-off risk of the system.

The invention discloses a reentry aircraft robust optimal guidance method based on a model predictive control theory. The reentry guidance problem is described as the optimal control problem, an idea of predicted correction is combined with the advantages of processing constraint and optimization in the model predictive control theory, and a guidance method capable of satisfying reentry optimality and robustness is formed. The reentry aircraft robust optimal guidance method can fully utilize the advantages of model predictive control in the aspects of route tracking and constraint processing so that the process constraint, tail end constraint and control constraint can be effectively solved in the guidance design process, and can satisfy the optimal performance index; the reentry aircraft robust optimal guidance method introduces the idea of predicted correction into the guidance strategy so as to increase the robustness of designed trajectory and guidance, predicts the future through applying the current state, compares the predicted value with an expected value, corrects a guidance command, and ensures the robustness of the reentry process; and the model predictive control theory and the idea of predicted correction are combined so that the robustness and optimality of reentry guidance can be well satisfied.

The invention provides a restriction device. The restriction device is used for solving the restriction problem of various section angle irons on one hand, wherein, the problem is mainly solved by clamping devices at the two ends of the restriction device, wherein, a pressed compact is a movable part, and the shape of the pressed compact can be determined according to the section shape of the component; on the other hand, the restriction device can solve the problem that the existing load unit for compression bearing test of components can not realize compression of various section angle irons or simulation of restriction of various end parts, thus realizing the aim that the load unit has simple structure, clear transferring force, accurate load application and convenient assembly and disassembly of components.

The invention provides a geotechnical engineering triaxial compression test micro-friction load force transfer plate which comprises a circular bearing plate, wherein a sliding stop rod is arranged in the center of the circular bearing plate; six first rectangular grooves are uniformly distributed in the circular bearing plate along the circumferential direction in a radial shape; a third rectangular groove is formed between two adjacent first rectangular grooves; a second rectangular groove is formed between the first rectangular groove and the adjacent third rectangular groove; the first rectangular grooves, the second rectangular grooves and the third rectangular grooves are respectively and correspondingly embedded into first guide rails, second guide rails and third guide rails; two arc-shaped grooves are formed in each of the guide rails; steel balls are arranged in the arc-shaped grooves; multiple circles of slide blocks are sequentially arranged on the guide rails along the radial direction of the circular bearing plate; the slide blocks can freely slide on the guide rails along the radial direction through the steel balls. An axial load is applied to a sample through the multiple circles of automatic slide blocks, the frictional resistance between the slide blocks and the circular bearing plate is reduced through the steel balls, and the problem that the end of the sample is constrained can be well solved.

The invention provides a three-dimensional augmentation device parameterization method meeting engineering constraints based on an FFD method, and the method comprises the steps: firstly, measuring the position parameters of a three-dimensional augmentation device, arranging a control frame on a slat and a flap of an initial configuration, carrying out parameterization disturbance on the object surface in the control frame, and changing the geometric shapes of the slat and the flap in the control frame; Reversing a control frame arranged on the initial configuration slat and the flap to the main wing according to the position parameters to obtain local coordinates of corresponding object plane grid points on the main wing in the corresponding control frame; and reversing the deformed control frame on the slat and the flap to the main wing according to the position parameters to obtain a global coordinate vector after the corresponding object plane grid point on the main wing is deformed. According to the method, the FFD method is used for guaranteeing the fitting precision of the geometric shape of the lifting device, the intersection interface part of the main wing in the method is processed, the geometric consistency constraint is met, finally, the generated three-section wing shape is subjected to fixed-axis rotation and translation operation, and the engineering constraintproblem is solved.

The invention discloses a deformable mirror surface shape design method and device for free-form surface measurement, and can solve the problem of deformable mirror surface shape constraint in a partial compensation method and realize high-precision detection of the surface shape of a free-form surface in a calibrated deformable mirror deformation range. The method comprises the following steps: (1) establishing an optical model of a deformable mirror-based free-form surface measurement system; (2) tracing incident light on the basis of a light tracing principle, and solving an image formed after the object passes through the whole system; (3) establishing an evaluation function of which the optimization target is aberration and the optimization variable is the surface shape of the deformable mirror, and constraining the stroke range of the deformable mirror; and (4) solving the deformable mirror surface shape based on a particle swarm optimization algorithm according to the imaging quality requirement of the imaging system.

The invention discloses a multi-unmanned aerial vehicle cooperative task scheduling method based on an improved discrete particle swarm optimization algorithm, and solves the problem of unmanned aerial vehicle cooperative multi-target attack task scheduling according to the position of an enemy target and basic information of an unmanned aerial vehicle. According to the method, the constraint condition of task scheduling is fused into particle updating, the particle iteration mode is improved by using cross mutation, and the algorithm is prevented from falling into a local extreme value by using mutation operation. According to the invention, an improved discrete particle swarm optimization algorithm is used to carry out comparative study on a scheduling scheme according to the voyage costof finishing tasks by the unmanned aerial vehicle and the maximum exposure time of the unmanned aerial vehicle, and an optimal task scheduling scheme is obtained through multiple iterations.

Disclosed is a wire harness fixing support. The wire harness fixing support comprises an installation fixing surface fixedly connected with a vehicle body metal plate and a support fixing surface fixedly connected with a wire harness. The wire harness fixing support connects the wire harness and a vehicle body in a relatively fixed mode to solve the binding problem in the prior art and meanwhile is easy and reliable to manufacture and install.

The invention discloses an integrated crystal resonator and a processing method thereof. The crystal resonator comprises a resonator wafer base and electrodes. The resonator base is produced by carrying out masking and chemical corrosion on a piezoelectric material. Sunken areas are arranged on the upper surface and the lower surface of the resonator wafer base. An upper electrode and a lower electrode are respectively arranged in the sunken areas. The depths of the sunken areas are greater than the thickness of the upper electrode or the lower electrode. The upper electrode and the lower electrode are equipped with metal lead-out wires at two ends of the resonator wafer base. An upper cover plate and a lower base plate are respectively fixed above the resonator wafer base. Bonding pads are respectively arranged at two ends of the bottom surface of the lower base plate. The bonding pads are connected with the metal lead-out wire of the upper electrode or the lower electrode. The upper cover plate, the lower base plate and the resonator wafer base are produced by the same material. According to the integrated crystal resonator and the method, additional frequency shift can be avoided; a mechanical grinding technology is avoided; a yield is improved; and moreover, the problem that in the prior art, the processing efficiency and the consistency for a small product are relatively low due to adoption of a uniwafer processing method is avoided.

The invention discloses a blind interference alignment method of an interference channel in a SISO system. Firstly, the design of asymmetric complex signal is used to increase the dimension of the signal space, effectively solving the single antenna constraint problem, and then the receiving end uses the channel information and precoding vector information to design a filter to completely eliminate interference, and proves that the design of the transmitting end The precoding vector does not need to know the channel information, so as to realize the blind interference alignment. In addition, the invention proves that the system degree of freedom of K users interfering with the channel reaches K/2, which is also the upper limit of the system degree of freedom when the channel state information of the transmitting end is known. The blind interference alignment method proposed by the present invention can effectively solve the problem that the signal space dimension is not high enough and the perfect channel state information is difficult to obtain in an actual system, effectively eliminate system interference, and improve throughput.

The invention discloses a local learning method and device and a medium. The method comprises the following steps: receiving an input data stream through a TinyML model, reasoning the data stream through the TinyML model to obtain a reasoning data stream, and sending the reasoning data stream to a local learning module; inputting the reasoning data stream into an additional neural network layer of a local learning module, and performing reasoning through the additional neural network layer to obtain a prediction result; a label flow is obtained according to the data flow, an update matrix is determined according to the prediction result and the label flow, and the update matrix is sent to an update layer of a local learning module; and determining an update weight parameter according to the update matrix, and sending the update weight parameter to the additional neural network layer so as to update the additional neural network layer according to the update weight parameter. According to the invention, resource-limited MCU online learning is realized through the local learning system, the model weight is updated locally according to the collected data, and the constraint and limitation of the MCU are effectively solved.

The invention relates to a method for generating a trigger signal for controlling a multimedia interface. A system includes an electronic module and an integrated circuit external to the electronic module. The integrated circuit is configured to generate a digital timing signal emulating a first synchronization signal, the first synchronization signal is internal to the module and is unavailable external to the module, and a trigger signal is generated based on the digital timing signal. The controller is configured to independently and autonomously perform a control operation of the electronic module at the time triggered by the trigger signal.

The embodiment of the invention discloses a parameter control method and device for a node movable base structure, equipment and a storage medium. The method comprises the steps that an original base structure is obtained, the original base structure comprises a plurality of base structure assemblies, and each base structure assembly comprises a first node and a second node which are located at the two ends of the base structure assembly; the base structure assemblies are controlled to be connected through the first nodes and the second nodes; and geometric parameters of the base structure assembly are controlled by adjusting the positions of the first node and the second node. According to the embodiment of the invention, the effect of effectively controlling or constraining the parameters of the base structure is realized.

The invention discloses an intelligent microgrid and relates to the technical field of power grids. The microgrid comprises a distributed power supply system, a load system, an energy storage system and an electric energy management system. The distributed power supply system comprises a distributed power supply and a distributed power supply monitoring device. The load system comprises a load and a load monitoring device. The energy storage module comprises an energy storage battery, an energy storage alternating current device and an energy storage battery monitoring device. The distributed power supply, the distributed power supply monitoring device, the load, the load monitoring device, the energy storage battery, the energy storage alternating current device and the energy storage battery monitoring device are all connected with the electric energy management system. The distributed power supply monitoring device is connected with the distributed power supply. The load monitoring device is connected with the load. The energy storage alternating current device and the energy storage battery monitoring device are both connected with the energy storage battery. According to the invention, the power grid in a local area can be conveniently controlled, and the power supply reliability and the power supply quality requirement are improved.