788results about How to "Improve optimization efficiency" patented technology

The invention discloses an optimization method of a smooth and steady gliding trajectory of a hypersonic flight vehicle. The optimization method specifically comprises the steps that 1, a reentry dynamics equation and a trajectory process constraint are established; 2, a trajectory damping control technology is extended; 3, the trajectory damping control technology is utilized to improve the dynamics equation; 4, a hp self-adaptive Radau pseudo-spectral method is utilized to solve an optimal control problem. The optimization method effectively inhibits trajectory jumping by changing the dynamic characteristics of a reentry trajectory and establishes the optimal control problem having smooth and steady state characteristics by changing the dynamic characteristics of the reentry trajectory, the difficulty of numerical solution is greatly reduced, the high-precision smooth and steady gliding trajectory meeting multiple constraint requirements can be obtained within short time, the optimization efficiency of the smooth and steady gliding trajectory is improved, and the regularity of the trajectory optimization is greatly strengthened.

The invention relates to a terminal guidance method based on track on-line planning, and belongs to the technical field of guidance. The method comprises the steps as follows: firstly establishing a kinematic and kinetic model of an aerocraft, then carrying out initial-time lateral track design by adopting two tangential circular arcs as lateral reference track, and transforming random-time lateral track problem to initial-time lateral track problem by rotational and translational coordinate transform; designing longitudinal reference track as an elliptic curve according to the ground range-to-go and dive section trajectory characteristics obtained by lateral reference track; and calculating angle of heel mu and angle of attack alpha of terminal guidance according to the obtained current real-time dive section longitudinal and lateral tracks, inputting the angle of heel and angle of attack to an aerocraft model, and carrying out real-time planning and adjusting on the aerocraft track to meet the expected terminal condition, thereby realizing terminal guidance. The method is small in calculation amount, high in optimization efficiency, and short in calculation time; and the on-line planned dive section track meets the terminal constraint and can control the terminal velocity.

The invention provides a method for optimizing laser radar detection atmospheric composition spectral line analysis, through building of an IPDA laser radar equation of hard target reflection, calculation of difference optical thickness of two pulses and CO2 air column mixing rate XCO2 with a weight, single spectral line broadening calculation, absorption cross section calculation, CO2 absorption optical thickness calculation, a weight function profile and a CO2 molecule number density profile, weight function-optimized spectral lines are obtained. The spectral lines obtained by the method have a higher lower-atmosphere weight ratio, and detection is closer to a true value.

The invention discloses a CVT (continuously variable transmission) hybrid electric vehicle power source torque optimizing distribution method which comprises the steps of (1) building a whole vehicle transmission system dynamics equation which is related to an accelerator pedal opening value by taking the accelerator pedal opening value, accelerator pedal speed and power supply SOC (state of charge) as optimizing state variables and taking a required torque value as basic; (2) taking engine power as required input power of a whole vehicle, and setting power consumed for overcoming traveling resistance of the vehicle and storage battery power as output power of a system, and combining the whole vehicle transmission system dynamics equation in step (1) so as to obtain final required output power of the system; and (3) defining system efficiency according to the ratio of the required output power and the required input power, taking the highest system efficiency as an optimizing target, and optimizing to obtain power source target torque. The method of the invention can improve the whole vehicle working efficiency, solves a torque distribution problem at a driving working state, and can be widely applied to the field of hybrid electric vehicles.

The invention discloses a user awareness depth detection method based on MR and XDR, which comprises the following steps of S1, acquiring MR data and XDR data; S2, extracting user location informationfrom the XDR data; S3, by using the S1-MME interface data in the XDR data as a control plane and by using the S1-U interface data as a service plane, forming a service quality KQI index from the twodimensionalities including the control plane and the service plane; S4: establishing a scoring model of a user awareness MOS index, calculating a user awareness MOS value based on the scoring model and the service quality KQI index; S5, establishing a 'wireless performance-service performance-user awareness' three-layer analysis model according to a wireless performance KPI index, the service quality KQI index and the user awareness MOS value, and restoring the instantaneous wireless performance during poor quality of user awareness by the three-layer analysis model. The method, by means of the two-way linkage analysis between a wireless side and a service side, upgrades the analysis level of a poor-quality user from the cell level to the user level and improves the problem location accuracy and efficiency.

The invention discloses a simultaneous monitoring and optimizing system for multiple interfaces of wireless communication network, comprising: a terminal test module, a simultaneous and communication control module, an access network and core network signaling monitoring module and a data processing module. The invention further discloses a simultaneous monitoring and optimizing method for multiple interfaces of wireless communication network. The terminal test module as well as the access network and core network signal monitoring module of the invention are respectively in charge of terminal side signaling and parameter collection test as well as signaling collection analysis of access network and core network, synchronizes the collection process of the three parties by the simultaneous and communication control module, and then real-time processing and tabulate statistics are performed for the signaling and parameters by the data processing module, positioning and analyzing the network, thereby greatly improving optimization efficiency of wireless network.

The invention discloses a light source and mask optimization method for a lithography machine. The method comprises the following steps: taking the square of Euclidean distance between an ideal pattern and a photoresist image which corresponds to the mask under exposure of the current light source illumination mode as an evaluation function by utilizing a pixilated light source illumination mode and a mask, calculating gradient information of the evaluation function by utilizing a stochastic parallel gradient descent algorithm, guiding the light source and mask optimization process through the gradient information of the evaluation function, and thus obtaining the optimal light source illumination mode and mask pattern. According to the method, solution of a gradient analysis expression of the evaluation function is avoided, the optimization complexity is reduced, the optimization efficiency is improved, and the resolution ratio of the lithography machine is effectively improved.

The invention provides a phase-shift mask optimizing method based on an Abbe vector imaging model. The method provided by the invention comprises the following steps of: forming a phase difference of 180 DEG through arranging adjacent openings in a three-dimensional phase-shift mask and a phase of a central transmission area; arranging a variable matrix omega and constructing a target function D into a square of an Euler distance between a target figure and an image in optical resist corresponding to the current mask; and guiding the optimization of a phase-shift mask figure by utilizing the variable matrix omega and the target function D. The phase-shift mask which is optimized by using the method is not only suitable for the condition of small NA (Numerical Aperture), but also is suitable for the condition that NA is more than 0.6.

The invention discloses a closed-loop identification method for a servo feed system. In order to overcome defects that an open-loop identification method is limited in application range, few in identified parameter kind, unsafe in operation mode, unstable and the like, the closed-loop identification method is put forward to identify characteristic parameters of the system. The method mainly comprises the steps of modeling the servo feed system, and inputting drive signals and acquiring position feedback signals in a closed-loop state. By means of the identification method, parameters of the servo feed system can be identified, dynamic characteristics of the servo feed system can be effectively evaluated through closed-loop identification on the servo feed system, the method lays a foundation for the optimization of the servo feed system, the optimization efficiency is improved, and reference evidence can be provided for fault diagnoses of the servo feed system.

The invention discloses a material breakage constraint-based continuum structure topology design modeling and optimization design method, which is used for solving (a) problems of stress concentration and singularity, and (b) a problem of maximum stress fluctuation and a problem of high analyzed and calculated quantity in different degrees in the prior art. In the method, effective stress constraint relaxation is adopted to treat the phenomenon of stress singularity. In the process of optimizing problem approximation modeling, a q1 norm metrical function of the structural stress serves as a penalty function, all unit stress constraints are replaced by q2 norm metrical function constraint of the structural stress, the most potential active unit stress constraints and the introduced volume constraints, and the local stress level is controlled by combining variable constraint limit. The optimization process of the method is divided into two optimization stages and a conversion stage, and the design space is automatically expanded and reduced. A quadratic programming method is utilized to solve each stage, a pure optimized structural topology in black/white distribution can be obtained, and the method has high optimization design efficiency.

The invention discloses an antenna downward inclination angle adjusting method and device based on an LTE network. The antenna downward inclination angle adjusting method and device based on the LTE network are used for solving the problems that in the prior art, due to manual intervention, resources are wasted, data are inaccurate, antenna downward inclination angles are arranged unreasonably, and the reliability of wireless transmission cannot be ensued. The method comprises the steps that a cell weak coverage coefficient and a cell overlapping coverage coefficient of each cell are obtained through simulation results of a propagation model, problem cells are screened out according to the cell weak coverage coefficients and the cell overlapping coverage coefficients of all cells, and lastly, the antenna downward inclination angles of all the problem cells are adjusted in sequence according to priorities of all the problem cells and the coverage areas of all the cells. In this way, the manual intervention is reduced, the resources are saved, the data are obtained through simulation calculation instead of experience values, the optimization process is simplified, optimization efficiency is improved, the accuracy of the antenna downward inclination angle is improved, and transmission reliability is ensured.

The invention relates to an optimum design method for an aircraft system based on a sequence radial basis function surrogate model and belongs to the technical field of optimum design of the aircraft system. According to the optimum design method, the thought of searching step range of trust domain solving high-dimensional optimization problem is applied to a supervisory sequence surrogate model, the sample space is gradually updated and the approximate precision of the surrogate model is promoted, so that the optimizing strategy convergence is guided to the globally optimal solution and the optimum design method provided by the invention has better global optimization capacity and optimization efficiency. The method is strong in universality. According to the method, the program development is conveniently realized, the optimum design means for the aircraft system is improved, the design cost is lowered and the requirement for multidisciplinary optimum design of the present aircraft system is met.

The invention belongs to the field of automobile testing control, and relates to a finished automobile CAN (Controller Area Network) network automatic testing platform and an optimization method thereof. The testing platform comprises to-be-tested controllers, a simulation device and a host which are sequentially connected; the to-be-tested controllers are connected to an indication instrument; and the simulation device comprises a CANoe unit, a CAN bus interferometer and a CAN bus digital oscilloscope. The optimization method comprises the steps of: simulating the to-be-tested controller of each node on a vehicle by the CANoe unit, carrying out modeling on each to-be-tested controller, and carrying out testing on node data on a CAN network by utilizing an established model; testing an application layer, a physical layer and a data link layer of the CAN network; and in a real load case, monitoring communication capacity of the CAN network by the CANoe unit, carrying out comparison analysis with testing results obtained in the first two steps, and carrying out modification or regulation on the CAN network. The testing platform and the optimization method thereof, which are disclosed by the invention, are high in efficiency and good in expansibility, an error rate of data transmission is effectively reduced, and reliability of communication is ensured.

The invention provides a method for designing a plane reflection array antenna. The method comprises the following steps: establishing an array element model in a circular polarization manner, wherein the resonant frequency of the array element model meets design requirements, and the phase position difference of a main polarization reflected wave and a cross polarization reflected wave is 180 degrees; using the array element model to establish a primary plane reflection array antenna model; calculating a directional diagram of the primary plane reflection array antenna model according to an incident excitation wave of the plane reflection array antenna; optimizing the directional diagram of the primary plane reflection array antenna model according to an intersection algorithm; obtaining excitation and compensation phases of each array antenna element model in the primary plane reflection array antenna model according to the optimized directional diagram of the primary plane reflection array antenna model; adjusting the phase of each array antenna element model in the primary plane reflection array antenna model according to the excitation and compensation phases of each array antenna element model in the primary plane reflection array antenna model, so as to obtain the design result of the plane reflection array antenna.

The invention discloses a method for improving robot parameter identification accuracy and belongs to the field of industrial robot control. The method comprises optimizing stimulation trajectories through a genetic algorithm; stimulate a robot to perform cyclical movement according to the optimized stimulation trajectories; sampling actual joint positions and actual torque data during moving and processing the data to obtain torque values, joint positions, joint speeds and joint accelerated speeds which are high in signal to noise ratio; establishing a dynamic linear model, and identifying all parameters related to joint dynamics through a weighted least square method. By the aid of the method, the actual trajectory Fourier series form is fit through an inverse method, and accordingly, speeds and accelerated speeds which cannot be obtained directly in experiments can be obtained conveniently, noise signals in sampling position signals and torque signals can be eliminated through an equalization method, the signal to noise ratio is improved and the robot parameter identification accuracy is improved.