30results about How to "Meet the dynamic characteristics" patented technology

The invention discloses a full line control electric vehicle with variable kinetic characteristics. The full line control of the electric vehicle is reflected in the operation of the driver and comprises the operations of steering, accelerating and braking. Only the operation signal is generated, and corresponding controller is used for collecting the corresponding signal and controlling a corresponding actuator to act correspondingly according to a certain algorithm. The variable kinetic characteristics of the electric vehicle is reflected in the structure: a wheel hub motor is arranged in each of the mutually independent wheels, the wheel hub motors are mutually independent and provide driving force or braking force for all the wheels, each wheel is provided with a steering motor, the steering motors are mutually independent, an unsprung frame of each wheel is provided an active suspension, and the unsprung frames are mutually independent. The variable kinetic characteristics of the electric vehicle is also reflected in the control algorithm: the relationship of the size of the driving force or braking force of each wheel hub motor, the relationship of the size of the steering angle of each steering motor and the relationship of the size of the stiffness and the damping of each active suspension are decided by the control algorithm without being restricted by the mechanical connection, so that the variable kinetic characteristics of the electric vehicle are realized.

The invention discloses a receiving-end constrained buffer overflow probability guarantee based multi-path transmission packet distributing method. The method comprises the following implementation steps of estimating random distribution parameters of path delay by utilizing a sending end A according to real-time independent path delay information; calculating and solving a sending interval ratio R of the path according to receiving-end buffer overflow probability index requirements P of users; and dynamically adjusting the sending interval of the path and the sending sequence of packets according to a given packet distributing method by utilizing the sending end A so as to reduce the number of out-of-order packets as far as possible and guarantee that the receiving-end constrained buffer is incapable of overflowing. The method disclosed by the invention has the advantages that the receiving-end buffer packet overflow phenomenon can be prevented as far as possible by utilizing the index probability needing to be achieved by users; the receiving-end packet discarding problem caused by disorder is reduced; the upward submission continuity of business data is guaranteed; the throughput of network is increased; and the user experience is improved.

The invention relates to a quantification method for a newly-generated shear fissure scale in a mining rock mass, thereby solving a problem that the quantification result of a small-scale fissure (meter-scale) is too large because surface energy consumed by a newly-generated fissure is not considered in a widely-adopted Brune model. On the basis of simulating and calculating the spatial distribution of a stress field in the rock engineering excavation process, a normal vector of a fracture surface is determined by combining a moment tensor inversion method, so that the purpose of more reasonably determining the newly-generated shear fissure scale in a mining rock mass is achieved. According to an actual excavation based process, the dynamic evolution process of a stress field in the miningrock mass and a corresponding stress state when a fracture surface is generated are reproduced by combining numerical simulation and a dynamic equation is established to solve the fissure scale by taking the result as a known condition, so that the dynamic characteristics of fissure growth in the rock mass fracture process are better met and basic data can be provided for quantifying the rock mass damage degree by utilizing a micro-seismic monitoring method.

The invention provides a fuzzy control method for a zinc smelting and roasting process based on trend event driving. By setting a temperature set value and a control period N, and according to a real-time sampling temperature value of a sensor, a temperature deviation is calculated and a temperature trend is extracted, when a working condition changes or a preset control period is reached, fuzzy control is performed in time according to the temperature trend and the temperature deviation, and the problem of difficulty in assessing the working condition and decrease of control performance of afuzzy controller caused by dynamic characteristics of a roasting process and on-site environment constraints is improved.

The invention relates to a bidirectional external oil-pressure-adjustable damper for a high-speed standard train rail. The damper mainly comprises a pressure cylinder, an oil storage cylinder, a guidecover, a one-way oil return valve system and an unloading valve system. The one-way oil return valve system comprises an oil guide pipe and a one-way valve. The oil guide pipe is arranged in the oilstorage cylinder. One end of the one-way valve is communicated with the pressure cylinder through a first oil way channel, and the other end of the one-way valve is communicated with the oil guide pipe, so oil in the oil storage cylinder flows into the pressure cylinder in one direction. The unloading valve system comprises a first core valve, a first spring and a first adjusting stud, wherein oneside of the first core valve is communicated with the oil storage cylinder through a second oil way, the other side the first core valve is communicated with the pressure cylinder, the first spring is connected with the first core valve and the first adjusting stud, and tensile damping force of the damper is controlled by adjusting the first adjusting stud. The dynamic characteristics of a traincan be met, and the damper can be placed outside and can be adjusted.

The invention discloses a seawater ion motion magnetic field simulation method and device for underwater target detection, and the method comprises the steps: S1, building a seawater ion motion magnetic field preliminary model, then, carrying out simplification under the quasi-stability hypothesis, and finally, constructing a seawater ion motion magnetic field model of which the magnetic field intensity is described by sound source parameters of an external excitation source and physicochemical parameters of a seawater solution; and S2, during simulation, constructing a sea area model, determining seawater solution physicochemical parameters of a to-be-simulated sea area, simulating a sound field, inputting a simulation result into the sea area model as sound source excitation to obtain asound source parameter calculation result, inputting the seawater solution physicochemical parameters and the sound source parameter calculation result into the seawater ion motion magnetic field model, and calculating to obtain a simulation result of the seawater ion motion magnetic field. According to the invention, the magnetic field generated by seawater ion separation excited by underwater target motion can be simulated, and the method has the advantages of simple simulation implementation, high efficiency and precision and the like.

The invention discloses a longitudinal and transverse coupled intelligent vehicle trajectory planning method and system. The method comprises the following steps: acquiring the state of a vehicle at the current moment; adopting a depth decision network method to decide a time headway which should be kept between the vehicle and a front vehicle on the same lane after the time domain time is planned, and a target lane of the vehicle; planning a longitudinal reference trajectory and a transverse reference trajectory of the vehicle; and according to the longitudinal reference trajectory and the transverse reference trajectory, solving a final trajectory of the vehicle by adopting a trajectory re-planning method based on model predictive control. According to the method, the coupling of longitudinal and transverse movement of the vehicle is considered, the track better conforming to the dynamic characteristics of the vehicle is planned, and the safety, economical efficiency and environmental protection performance of vehicle driving are improved by constructing the risk degree objective function, the fuel consumption objective function and the emission objective function.

The invention discloses a coal-fired unit main steam pressure setting optimization method, which comprises the following steps of: extracting historical working data, dividing the historical working data into steady-state working data and variable load initial data, modeling by using corresponding data to analyze the influence of corresponding working parameters on main steam pressure, and obtaining a main steam pressure set value of the whole production process of a coal-fired unit. The opening degree of a high control valve of the coal-fired unit and the exhaust steam pressure of a steam turbine unit are introduced into a steady-state working model and a variable-load working model, so that the main steam pressure set value is close to a main steam pressure actual value, and unit fluctuation caused by main steam pressure deviation is reduced. The dynamic change of the main steam at the initial stage of the variable load is introduced into the main steam pressure set value, so that the main steam pressure set value conforms to the dynamic characteristics of the unit. The invention further discloses a coal-fired unit main steam pressure setting optimization device and equipment and a readable storage medium, and the corresponding technical effects are achieved.

The invention discloses a three-dimensional trajectory optimization method for assisting a high-energy-efficiency unmanned aerial vehicle of a communication system. The method is used for planning a three-dimensional trajectory of a single unmanned aerial vehicle for completing data collection or propagation of a communication node, so auxiliary communication efficiency of the unmanned aerial vehicle can be remarkably improved. When the three-dimensional trajectory of the unmanned aerial vehicle is optimized, kinetic equations of translation and rotation of the unmanned aerial vehicle are considered, so the optimized trajectory better conforms to the kinetic characteristics of the unmanned aerial vehicle; when the energy consumption model is modeled, the motion of the unmanned aerial vehicle is not limited too much, so the energy consumption model is suitable for energy consumption estimation of motion states such as two-dimensional plane motion, three-dimensional space motion and variable acceleration motion of the unmanned aerial vehicle; during optimization modeling, an optimized energy result directly reflects the electric energy consumption of the unmanned aerial vehicle, and compared with an existing method only considering effective energy, the method can consider conversion efficiency of converting the electric energy into the effective energy, so the optimization result can better reflect final energy consumption.