20 results about "Pattern search algorithm" patented technology

The invention discloses a three-dimensional path multi-stage planning method for a low-altitude unmanned aerial vehicle. The method comprises the following steps: inputting a three-dimensional terrain model and a starting point of path planning; initializing a three-dimensional path based on a cubic B-spline curve, and constructing an optimization model; performing active subspace identification and space mapping on the optimization variable space; executing an improved particle swarm algorithm in the active subspace, and periodically rewarding optimal fitness particles in the population; performing multi-stage refinement on the optimized three-dimensional path, and executing mode search algorithm optimization on the encrypted path control points; and obtaining an optimized global optimal three-dimensional path.

The invention discloses a hysteretic parameter identification method of a BWBN model based on improved particle swarm optimization, and belongs to the field of hysteretic parameter identification, and the method comprises the steps: determining an equivalent yield point of an RC pier under quasi-static reciprocating loading according to a skeleton curve of an actually measured hysteretic curve; giving a boundary constraint of a hysteretic parameter to be identified; obtaining an optimal value of the hysteresis parameter to be identified by using an improved particle swarm algorithm; and in each step of iteration of the improved particle swarm algorithm, optimizing the global historical optimal position by using a Levy flight strategy and a pattern search algorithm, and taking the global historical optimal position output in the last step as the value of each hysteresis parameter to be identified, thereby completing the hysteresis parameter identification of the BWBN model. The method solves the problems that when an existing method is used for processing a complex high-dimensional space optimization problem, the existing method is prone to falling into a local optimal solution in the later period, premature convergence is achieved, the convergence speed and fitting precision depend on parameter selection, evolution lacks enough exploration capacity, and the diversity of particle populations is difficult to guarantee.

The invention discloses a filter bank multicarrier modulation and orthogonal time-frequency modulation combined system of a low-altitude communication sensing system, and the system is characterized in that an inverse symplectic Fourier transform module is used for receiving a first sending signal of a time delay-Doppler domain, and carrying out the inverse symplectic Fourier transform of the first sending signal, and obtaining a second sending signal of a time-frequency domain; the first multi-carrier modulation module is used for performing multi-carrier modulation on the second sending signal through the filter bank to obtain a receiving signal; the communication receiving end is used for acquiring a vector estimation signal of the received signal by adopting an iterative maximum ratio combination method on the received signal; the sensing receiving end is used for acquiring an optimal sensing target parameter of the received signal by adopting a two-stage mode search algorithm on the received signal; the second multicarrier modulation module is used for carrying out multicarrier modulation on the vector estimation value through a filter bank to obtain an estimation signal of a time-frequency domain; and the symplectic Fourier transform module is used for performing symplectic Fourier transform on the estimation signal to obtain a final signal vector estimation value.

The invention discloses an electricity-hydrogen hybrid energy storage configuration method and system based on an improved mode search algorithm, and relates to the technical field of power system optimal configuration, and the method comprises the steps: carrying out the modeling of a power distribution network, a wind-solar distributed power supply, electric energy storage, and hydrogen energy storage; based on various modeling models, constructing a power distribution network electricity-hydrogen hybrid energy storage double-layer configuration model comprising an upper preparation layer and a lower operation layer; the method comprises the following steps: acquiring operation parameters of electricity-hydrogen hybrid energy storage of a power distribution network, configuring positions and capacities of electricity energy storage and hydrogen energy storage by using an improved mode search algorithm based on an upper preparation layer, generating a configuration scheme, and performing time sequence operation simulation on the generated configuration scheme based on a lower operation layer, the operation cost of the configuration scheme is fed back to the upper preparation layer to update the configuration scheme, and iteration is repeated until the optimal configuration scheme is obtained. According to the method, the solving performance for the electricity-hydrogen hybrid energy storage configuration problem can be improved, and consideration of power grid stability and economic benefits is achieved.

The application discloses a hysteretic parameter identification method of a BWBN model based on an improved particle swarm optimization, and belongs to the field of hysteretic parameter identification. The method comprises the following steps: determining the equivalent yield point of a RC pier under a pseudo-static force reciprocating load according to a skeleton curve of a measured hysteretic curve; giving boundary constraints of hysteretic parameters to be identified; obtaining optimal values of the hysteretic parameters to be identified by using an improved particle swarm optimization; optimizing a global historical optimal position by using a Levy flight strategy and a pattern search algorithm in each step of iteration of the improved particle swarm optimization, taking the global historical optimal position output in the last step as the value of each hysteretic parameter to be identified, and completing the hysteretic parameter identification of the BWBN model. The application solves the problems that the existing method is prone to falling into a local optimal solution in the later period, premature convergence, the convergence speed and fitting precision depend on the selection of parameters, and evolution lacks sufficient exploration ability and is difficult to guarantee the diversity of a particle population when dealing with complex high-dimensional space optimization problems.

The invention discloses a satellite orbit thrust section inversion method based on pattern search, solves the problem of how to accurately invert parameters of a middle unknown thrust section by using two extremely short radar observation arc sections, and belongs to the field of satellite orbit thrust section inversion. Comprising the following steps: finding epoch moments of two observation arc segments; using a Laplace-LM algorithm to obtain an initial orbital element, and substituting the initial orbital element into POD to obtain a precise orbital element; constructing a satellite orbit dynamic model based on the initial dynamic parameters, and performing orbit propagation on a first precision orbit element of the first observation arc section from the first epoch moment to a second epoch moment of the second observation arc section to obtain a second propagation precision orbit element; constructing a target function according to the position difference between the second propagation precision orbit element and the second precision orbit determination result; introducing a pattern search algorithm to obtain a target dynamic parameter when the target function is minimum; according to the method, the thrust section can be accurately inverted, and the real propulsion strategy corresponding to the target dynamic parameter is summarized.

The invention provides a double-sector permanent magnet synchronous motor sideband vibration suppression method and system based on mode search. A sideband vibration model is established according to side frequency electromagnetic force and a vibration transfer function; carrying out iterative search on the carrier phase shift angles of the two sectors, and finding the minimum value of the corresponding system sideband vibration peak value as an optimization target by searching the carrier phase difference between the sectors; and through parallel search, determining a global optimal carrier phase shift angle after a comparison process, and finally outputting the optimal carrier phase shift angle. The characteristic of independence of carrier phases of all sectors of a double-sector motor is utilized, the carrier phase deviation angle is optimized, the space order of high-frequency side-frequency electromagnetic force is changed, the inherent frequency of the corresponding order is made to be away from the frequency of the high-frequency side-frequency electromagnetic force, and vibration suppression is achieved; and for different motor vibration characteristics and working conditions, an optimal target carrier phase shift angle can be iteratively searched through a mode search algorithm, and effective suppression of high-frequency vibration of the motor is realized.

The application discloses an electric-hydrogen hybrid energy storage configuration method and system based on an improved pattern search algorithm, relates to the technical field of power system optimization configuration, and comprises the following steps: modeling a distribution network, a wind-solar distributed power supply, electric energy storage and hydrogen energy storage respectively; based on multiple modeling models, a distribution network electric-hydrogen hybrid energy storage double-layer configuration model comprising an upper layer configuration layer and a lower layer operation layer is constructed; operation parameters of the distribution network electric-hydrogen hybrid energy storage are acquired, the positions and capacities of the electric energy storage and the hydrogen energy storage are respectively configured based on the upper layer configuration layer by using the improved pattern search algorithm, a configuration scheme is generated, the generated configuration scheme is subjected to time sequence operation simulation based on the lower layer operation layer, the operation cost of the configuration scheme is fed back to the upper layer configuration layer to update the configuration scheme, and iteration is repeated until an optimal configuration scheme is obtained. The application can improve the solving performance for the electric-hydrogen hybrid energy storage configuration problem and realize the consideration of power grid stability and economic benefits.

The invention discloses a photovoltaic frequency modulation control method and system based on auxiliary frequency controller parameter adjustment, and the method comprises the steps: building a first frequency response model of a photovoltaic power station based on an inverter and an auxiliary frequency controller of the photovoltaic power station; according to the first frequency response model, establishing a second frequency response model of the power system by adopting a power balance equation of a power supply, a wind power station, a photovoltaic power station and load power in the power system; the method comprises the following steps: establishing a parameter optimization framework according to a photovoltaic auxiliary frequency controller, and designing a target function of the parameter optimization framework by considering the frequency modulation demand of a system; and based on an improved mode search algorithm, solving the second frequency response model by using the objective function to obtain photovoltaic frequency modulation parameters of the auxiliary frequency controller. The parameters of the controller are dynamically adjusted according to the frequency modulation requirement of the system, the high controllability and the rapid frequency response capability of the photovoltaic power station based on inverter grid connection are exerted, and the dynamic frequency response performance of the system is improved.

The invention relates to the technical field of power electronic devices, in particular to a flexible interconnection system control parameter optimization method and a related device, and the method comprises the steps: obtaining the response time of a flexible interconnection system; inputting the response time into a pre-trained first data-driven proxy model, and outputting to obtain a target control parameter; the first data-driven proxy model represents a mapping relationship between the target control parameter and the response time; inputting the target control parameter into a pre-trained second data-driven agent model, and performing optimization operation on the second data-driven agent model by adopting a mode search algorithm by taking the minimum overshoot as an optimization target and taking the condition that the frequency change rate is in a preset threshold range as a constraint condition, so as to obtain an optimal target control parameter; the second data driving agent model represents the mapping relation between the target control parameter and the overshoot and the frequency change rate. The technical problems that an existing flexible interconnection system control parameter setting method is low in efficiency and poor in effect are solved.

The present invention is a high-precision diagnostic method for the number of broken rotor bars of a fifteen-phase asynchronous motor based on ESPRIT-PSA and LGBM. It aims at the instantaneous reactive power signal sampled for a short time (only 2 seconds), and uses ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) and PSA (Pattern Search Algorithm) to obtain the accurate amplitude A of the characteristic components therein q ; then 71 features such as the corresponding voltage amplitude, current amplitude, average active power P, and average reactive power Q are obtained; then the A q and the top 5 features with the highest weight ratios among the above 71 features - A q , P, Q, the voltage amplitude U of the first phase m , and the current amplitude I of the first phase m are used to form a data set; then the LGBM model is trained and saved with it, and the number of broken rotor bars is diagnosed with high precision (the training and testing accuracies are both 100%, and the 5-fold cross-validation accuracy is 99.38%).

In various examples, query-based evaluation of error patterns in annotated training data for machine learning systems and applications is provided. An error pattern evaluator may include an error pattern extraction function and an error pattern search algorithm. An annotated validation sample associated with an inaccurate prediction from a machine learning model may be analyzed to extract an error pattern. A set of annotated training data used for training the machine learning model may be analyzed by the error pattern extraction function to generate an error pattern for individual samples of annotated training data to define a search dataset. An error pattern search algorithm may use the error pattern derived from the inaccurate prediction as a query to search the dataset to identify each occurrence of samples having an error pattern similar to the query error pattern. The set of annotated training data may be corrected based on the search results.

A kind of mechanical arm rigid-flexible coupling dynamics parameter identification method based on pattern search and swarm intelligence optimization, it contains: the establishment includes dissipative force rigid-flexible coupling multi-degree-of-freedom robot Lagrange dynamics model;Solve the minimum parameter set of dynamics, and obtain the observable matrix by reorganization through linear relationship, obtain the identifiable robot linearized dynamics model;Based on finite fourier series and quintic polynomial, establish dynamics parameter identification excitation trajectory model;With the condition number of observable matrix and the combination of singular value as the objective function of excitation trajectory optimization;The final excitation trajectory best parameter is obtained by iterative optimization using pattern search algorithm and swarm intelligence optimization algorithm;The state parameters generated by the best excitation trajectory operation are identified by least square method, and the dynamics parameters of the robot are obtained.The invention improves the search ability in the global feasible region and the late local search convergence ability, improves the anti-interference ability to measurement signal noise, and improves the accuracy of parameter identification.

This invention discloses a deterministic real-time optimization modeling method, system, electronic device, and storage medium for high-dimensional process parameters, belonging to the field of intelligent manufacturing and process optimization technology. The method includes: constructing a neural network with initially optimized weights using a genetic algorithm as a discriminator; training a generative adversarial network as a generator to determine a deterministic starting point based on target material state data; analyzing the physical influence weights of each process parameter on the material state data from the discriminator, and using this to guide an improved pattern search algorithm for targeted local search and iterative optimization, quickly converging to the globally optimal combination of process parameters. The system includes corresponding functional modules and can be encapsulated as intelligent decision-making micro-units. This invention completely eliminates the randomness and unpredictability of traditional optimization methods, achieving second-level, stable, and high-precision process reverse design, and is particularly suitable for offline R&D and online real-time closed-loop control of integrated multi-stage material preparation and processing processes.

The invention discloses a sideband vibration suppression method and system for a common-mode voltage injection permanent magnet synchronous motor, and the method comprises the following steps: S1, calculating the injection range of a sideband common-mode voltage and the frequency component of the injected sideband harmonic voltage according to a sideband harmonic voltage model; s2, establishing a sideband vibration model under sideband common-mode voltage injection by combining the sideband electromagnetic force and the vibration transfer function; s3, taking the output of the sideband vibration model as a target function, taking minimization of a high-frequency vibration peak value of the motor as a target, and iteratively searching an optimal DC bias M0 and a third harmonic modulation ratio M3 based on a mode search algorithm; and S4, adjusting the distribution proportion of zero vectors SV0 and SV7 in space vector modulation SVPWM according to the optimal direct current bias M0 and the third harmonic modulation ratio M3 obtained by searching, and realizing common-mode voltage injection. According to the method, the common-mode voltage which has no influence on the fundamental frequency current is injected into the closed-winding permanent magnet synchronous motor, so that the high-frequency vibration of the motor caused by resonance is effectively inhibited.

The application discloses a satellite orbit thrust segment inversion method based on a mode search, solves the problem of how to accurately invert the parameters of an unknown thrust segment in the middle by using two extremely short radar observation arc segments, and belongs to the field of satellite orbit thrust segment inversion. The application comprises the following steps: finding the epoch time of the two observation arc segments; obtaining initial orbit elements by using a Laplace-LM algorithm and substituting the initial orbit elements into POD to obtain precise orbit elements; constructing a satellite orbit dynamics model based on initial dynamic parameters, performing orbit propagation on the first precise orbit elements of the first observation arc segment from the first epoch time to the second epoch time of the second observation arc segment to obtain second propagated precise orbit elements; constructing an objective function according to the position difference between the second propagated precise orbit elements and the second precise orbit determination result; and introducing a mode search algorithm to obtain target dynamic parameters corresponding to the minimum value of the objective function.

The present invention discloses a three-dimensional path multi-stage planning method for a low-altitude unmanned aerial vehicle, comprising the following steps: inputting a three-dimensional terrain model and a starting point for path planning; initializing the three-dimensional path based on a cubic B-spline curve and constructing an optimization model; performing active subspace identification and spatial mapping on the optimization variable space; executing an improved particle swarm algorithm in the active subspace and periodically rewarding the particles with the best fitness in the population; performing multi-stage refinement on the optimized three-dimensional path and executing a pattern search algorithm optimization on the densified path control points; and obtaining the optimized global optimal three-dimensional path.

The present invention provides a spacecraft orbit pursuit and escape game method based on pulse thrust. By establishing a spacecraft pulse orbit pursuit and escape game model, the original minimax optimization problem is transformed into a two-level optimization problem, and then a genetic algorithm with global optimization capability and a pattern search algorithm with fast convergence characteristics are adopted to jointly solve the problem, which significantly improves the problem-solving efficiency. The problem of aerospace game is effectively solved by combining the pulse control method with the spacecraft pulse orbit pursuit and escape game model, thereby laying a theoretical foundation for the realization of engineering applications such as taking over space fault spacecraft and clearing space failed spacecraft.

The application provides a dual-sector permanent magnet synchronous motor sideband vibration suppression method and system based on pattern search, a sideband vibration model is established according to the side frequency electromagnetic force and a vibration transfer function; carrier phase shift angles of two sectors are iteratively searched respectively, a minimum value of a corresponding system sideband vibration peak value is found by searching the carrier phase difference between the sectors as an optimization target; the global optimal carrier phase shift angle is determined after the comparison process through parallel search, and the optimal carrier phase shift angle is finally output. The application utilizes the characteristics of the independence of the carrier phase of each sector of the dual-sector motor, optimizes the carrier phase shift angle, changes the spatial order of the high-frequency side frequency electromagnetic force, makes the natural frequency of the corresponding order far away from the frequency of the high-frequency side frequency electromagnetic force, and realizes the suppression of vibration; for different motor vibration characteristics and working conditions, the optimal target carrier phase shift angle can be iteratively searched through the pattern search algorithm, and the effective suppression of motor high-frequency vibration is realized.

The application discloses a photovoltaic frequency modulation control method and system based on auxiliary frequency controller parameter adjustment, which comprises the following steps: based on the inverter and the auxiliary frequency controller of the photovoltaic power station, a first frequency response model of the photovoltaic power station is established; according to the first frequency response model, a power balance equation of power sources, wind power, photovoltaic power stations and loads in a power system is adopted to establish a second frequency response model of the power system; a parameter optimization framework is established according to the auxiliary frequency controller of the photovoltaic power station, a target function of the parameter optimization framework is designed by considering the frequency modulation demand of the system; the target function is used to solve the second frequency response model based on an improved pattern search algorithm, and photovoltaic frequency modulation parameters of the auxiliary frequency controller are obtained. According to the demand of system frequency modulation, the controller parameters are dynamically adjusted, the high controllability and fast frequency response capability of the photovoltaic power station based on the inverter grid connection are exerted, and the dynamic frequency response performance of the system is improved.