7 results about "Simplex algorithm" patented technology

This invention discloses a fast beam alignment method based on the simplex method. It achieves rapid beam alignment between communication devices operating on highly mobile platforms through two stages: preprocessing and simplex processing. The preprocessing stage introduces a hierarchical search approach, providing a more reasonable initial solution for the subsequent beam alignment algorithm, effectively reducing the likelihood of the simplex algorithm getting stuck in local optima. Compared to previous beam alignment methods, this significantly reduces the overall algorithm's time complexity and implementation complexity, while maintaining the same order of magnitude of angular error, demonstrating superior performance.

The invention belongs to the technical field of modeling and parameter identification of a photoelectric turntable servo system, and discloses a friction parameter identification method for the photoelectric turntable servo system. The method comprises the following steps: firstly, generating a high-quality initial population by adopting Latin hypercube sampling in combination with a reverse learning strategy in an initialization stage, and introducing a Nelder-Mead simplex method in a global exploration stage to carry out local fine optimization on a searched solution to form an improved whale optimization algorithm IWOA; secondly, analyzing low-speed operation data of the servo system by utilizing IWOA, and identifying static parameters of a Lugre friction model by taking the minimum error between the actually measured friction torque and the model output as an optimization target; and then, dynamic parameters of the Lugre model are calculated based on pre-sliding dynamic characteristics, so that a complete high-precision Lugre friction model is established. According to the method, the problems that a traditional method is prone to falling into local optimum and low in convergence precision are effectively solved, the precision and efficiency of friction parameter identification are remarkably improved, and a reliable model basis is provided for improving the low-speed tracking performance of a photoelectric rotary table servo system.

The application discloses a kind of based on optimization's mix uniform batching bin automatic feeding timing compilation method, belong to metallurgical automation technical field, including: obtaining the parameter information and state information of system, and according to actual equipment state and parameter establishes corresponding mathematical model, predicts the system state of subsequent multiple task periods, to design with the weight of raw material in bin as constraint condition, with the optimal feeding efficiency as performance index, the automatic feeding timing compilation optimization problem of bin, and through the design genetic algorithm and dual simplex method, the feeding sequence of bin and the start time and end time of each feeding task are solved, to complete the compilation of automatic feeding timing.The method provided by the application can effectively avoid the empty bin problem that may occur in the process of mix uniform batching bin automatic feeding, improve the running efficiency in mix uniform process.

The invention discloses a medium and long term and spot electric quantity decomposition method and system based on distributed robust optimization, and relates to the technical field of electric power system operation optimization and electric power market transaction decision, and the method comprises the steps: obtaining electric quantity decomposition use data, inputting the electric quantity decomposition use data into a pre-established two-stage distributed robust optimization model, a strong dual theory and a simplex method principle of Wasserstein distribution robust optimization are used for optimization, a standard linear programming model is obtained, and a pre-established two-stage distribution robust optimization model aims at minimizing the comprehensive risk loss of the wind power plant under the worst probability distribution in a fuzzy set; and inputting the electric quantity decomposition use data into the standard linear programming model, solving based on a preset linear programming solver, and outputting to obtain an optimal medium and long term contract decomposition electric quantity curve and a day-ahead market declaration reference curve.

The invention relates to the technical field of intelligent micro-grid comprehensive energy capacity configuration application, in particular to a comprehensive energy capacity configuration method, device and equipment, a storage medium and a computer program product. The method comprises the following steps: constructing a multi-objective optimization function based on historical wind power data, historical photovoltaic power generation capacity data, historical user load data, a preset cost strategy and a preset green power proportion strategy; determining constraint conditions according to a preset green power ratio constraint, a preset wind curtailment and light curtailment rate constraint and a preset return on investment constraint; constructing a linear programming model based on the multi-objective optimization function and the constraint condition; and solving the linear programming model by adopting a simplex method to obtain a target configuration scheme. The method can effectively improve the utilization rate of renewable energy sources, reduce energy waste, ensure the economical efficiency and environmental protection benefits of a project, and optimize the comprehensive energy capacity configuration.

This invention discloses a method for high-precision automatic attitude correction of 3D point clouds of a rotating body, relating to the field of 3D point cloud processing technology. The method includes the following steps: S1, point cloud data reading and preprocessing; S2, initial rotation alignment based on PCA and Rodriguez formula; S3, iterative fine rotation using the Nelder-Mead simplex method; S4, cross-sectional circle fitting and axis precise positioning; S5, translating the midpoint of the axis to the origin to complete attitude correction; S6, saving the corrected point cloud data and transformation parameters. This invention employs the above-mentioned method for high-precision automatic attitude correction of 3D point clouds of a rotating body. From point cloud reading, axis identification, rotation optimization, translation correction to result verification and saving, the entire process is automated. It eliminates the need for operators to manually select feature points, adjust rotation angles, or judge the correction effect, thus improving correction efficiency and avoiding the influence of human experience on the correction results.

The invention discloses a new energy base distributed phase modifier multi-objective optimization configuration method and device. The method relates to the technical field of phase modifier capacity optimization, and comprises the following steps: carrying out phase modifier configuration on an initial new energy field station architecture according to short-circuit ratio constraint to obtain a target new energy field station architecture; constructing a target function for optimizing the capacity of the phase modifier in the target new energy station architecture, wherein the target function comprises a transient voltage drop area, a transient overvoltage index and the total configuration capacity cost of the phase modifier; optimizing the capacity of the phase modifier by adopting a target non-dominated sorting genetic algorithm based on the target function to obtain a plurality of capacity configuration schemes; and optimizing the capacity of the phase modifier by adopting a simplex method and taking each capacity configuration scheme as a boundary constraint condition based on a target function to obtain a target capacity configuration scheme. According to the method, the basic static voltage stability requirement can be met, the dynamic system stability is considered, and the configuration cost of the phase modifier is reduced.