34results about How to "Achieve coordinated optimization" patented technology

The invention discloses an integrated control method for yaw and roll stability of an off-road vehicle driven by a wheel hub motor, which obtains the operating parameters of the vehicle, obtains the lateral load transfer rate and lateral motion balance equation at the current moment, and then obtains the predicted lateral load at the next moment Transfer rate; determine the yaw stability working condition according to the yaw angular velocity and the side slip angle of the center of mass; determine the control mode of the yaw and roll integrated control system according to the predicted lateral load transfer rate and yaw stability working condition. When the absolute value of the predicted lateral load transfer rate is less than the safety threshold, the yaw stability control is the primary goal; when the absolute value of the predicted lateral load transfer rate is greater than or equal to the safety threshold, the roll stability control is the primary goal. Stability control is a secondary goal. The invention realizes the coordinated optimization of the roll stability control system and the yaw stability control system, eliminates conflicts when the two subsystems are independently controlled, and performs coordinated control to ensure the safety of the vehicle.

The invention discloses a unit combination acquisition method considering external power transmission transactions, cross-province and cross-region tie-line transactions, and safety constraints. The method takes the transaction plan and operation plan of the power company as the background, and reflects the transaction types and requirements for power transactions. For the problem of the economic characteristics of the rules, a mathematical model oriented to transaction components is established. The optimized objective function is to minimize the transaction cost of the power company’s purchase of external power transmission transactions and cross-province and cross-region contact lines. Physical constraints and transaction component constraints can help power companies that need to consider trading varieties and rules to formulate transaction plans and operating plans, improve the scientificity and effectiveness of decision-making, and help optimize power companies' power purchase strategies and power purchase costs. Lean operation level of power trading business.

The invention discloses a medium-term and long-term trading-operation plan-acquiring method considering wind-electricity acceptance. By the method, a trading-operation integrated mathematical model is established by aiming at the realistic problem of needing large-scale wind-electricity acceptance by using medium-term and long-term trading plans and operation plans carried out by an electrical power company as the background, optimized target functions are the minimum total operating cost and the maximum wind-electricity elimination and acceptance of a system, and constraint conditions include the security constraint of electric-network operation and the physical constraint of generator operation. In order to reduce the solving dimensionality of the model, plan-scale compressing and mapping technologies are provided for compressing the time scales of the medium-term and long-term plans into typical-week time scales, the plan of a typical week is firstly obtained through optimized calculation, and the plan of the required medium-term and long-term time scales is formed through mapping relation, so that the electrical power company needing large-scale wind-electricity elimination and acceptance can be helped to make medium-term and long-term trading plans and operation plans, and therefore decision-making scientificity and validity are improved, the method is helpful to improving the accepting level of the wind electricity, and the production cost of electric energy is lowered.

The invention discloses a coordinated optimization method and system for low-energy grain boundary density and grain size, and coordinates and optimizes thermoplastic deformation process parameters by introducing key evaluation index energy storage to obtain a uniformly refined structure with high low-energy grain boundary density; obtain the material to be tested Based on the isothermal thermal compression experimental data, the response relationship and model between energy storage and average grain size are established; the response relationship of low-energy grain boundary density with energy storage and average grain size as variables is established, and then the evolution model of low-energy grain boundary density is established; Develop a low-energy grain boundary density prediction and analysis system to obtain the core subroutines of grain size and low-energy grain boundary density and couple them to the finite element software. Through real-time monitoring of average grain size, energy storage and low-energy grain boundary density, iterative correction The main process parameters realize the dynamic coordination and optimization between grain size and low-energy grain boundary density. The invention can reveal the evolution of the low-energy grain boundary density in the process of thermoplastic deformation, and realize the coordinated optimization of the low-energy grain boundary density and grain size.

The invention discloses an interruptible-load-based multiple-target overloading assistant decision making method. Contribution indexes of an interruptible load for reducing two target functions, namely an interruptible load cutting total amount and an interruptible load cutting total number, are respectively computed; a comprehensive contribution index of the interruptible load to the two target functions is computed by utilizing linear weighting factors; the linear weighting factors are divided into different grades; an overloading assistant decision making measure corresponding to each grade of the linear weighting factor is computed; and the final measure is selected via a scheduling operator. By applying the interruptible-load-based multiple-target overloading assistant decision making method, multiple-target optimization can be performed according to the contribution indexes of the interruptible load to the target functions, an effective solution set meeting the computation precision is given out, and coordinate optimization of reduction of the two target functions, namely the interruptible load cutting total amount and the interruptible load cutting total number, is implemented.

The invention discloses a machining process chain optimization method for energy efficiency improvement. The method includes the steps that an energy consumption analysis model is established, on the basis of the model, energy consumption bottleneck processes are recognized from all processes forming process chains, and then machining process feature sets corresponding to the energy consumption bottleneck processes are determined respectively; replaceable machining process features are found out and configured to be the machining processes which are relatively lower in energy consumption, and therefore a series of alternative process chains are generated; optimization processing is conducted on the alternative process chains by the adoption of the entropy weight method and the multi-attribute decision method, the process chain with the optimal energy efficiency is selected to serve as an optimization result, and therefore the whole optimization process of the machining process chain is completed. According to the method, the machining process chain with optimal energy efficiency performance can be obtained, meanwhile the machining efficiency is greatly improved, the workpiece machining period is shortened, the product cost is lowered, and therefore the method is particularly suitable for the occasions of precision machining or industrial machining of various workpieces.

The present invention discloses a hydroelectric generating set speed regulation system PID parameter setting method and device. The method comprises the steps of: employing a preset simulation model to perform simulation of a hydroelectric generating set to determine proportional component magnification times when the hydroelectric generating set reaches a critical stable state and a correspondingvibration period; according to the proportional component magnification times when the hydroelectric generating set reaches the critical stable state and the corresponding vibration period, calculating the proportional component magnification times in the PID parameters and differentiation component magnification times; according to the proportional component magnification times in the PID parameters and the differentiation component magnification times, employing the preset simulation model to perform simulation, and determining integration component magnification times when the hydroelectric generating set reaches the critical stable state as the integration component magnification times in the PID parameter; and according to the proportional component magnification times, the differentiation component magnification times and the integration component magnification times in the PID parameters, employing the preset simulation model to perform simulation and verification so as to complete setting of the PID parameters.