217results about How to "Few control parameters" patented technology

The invention provides a cooperative air combat firepower distribution method based on an improved multi-target leapfrog algorithm and belongs to the technical field of computer simulation and method optimization. The method comprises the steps that firstly, required data information is obtained through a cooperative air combat formation command and control system; secondly, a multi-target optimization module of cooperative air combat firepower distribution is established; then a multi-target quantum leapfrog algorithm based on a self-adaptive mesh method is carried out, and a Pareto non-inferior solution of firepower distribution problem is solved; finally, rules can be selected independently according to the optimal distribution scheme, and the optimal firepower distribution scheme is selected from the non-inferior solution. The cooperative air combat firepower distribution method based on the improved multi-target leapfrog algorithm has the major functions that weapons on a fighter aircraft on an attack mission are distributed to multiple targets according to the optimal firepower distribution scheme, the formed cooperative air combat is enabled to realize the optimal cooperative attack effect, and the maximum operational effectiveness is obtained.

The invention relates to a short-term load predicting method of a power grid. The method comprises the steps: step 1, acquiring historical data and pre-treating the data; step2, decomposing the historical load sample data into a plurality of different-frequency sub-sequences by using wavelet decomposition; step 3, performing single-branch reconstruction to each sub-sequence; step 4, dynamically choosing training samples and establishing a neural network predicting model optimized by a vertical and horizontal intersection algorithm; step 5, predicting each sub-sequence 24 hours in advance by using the optimal neural network predicting model; and step 6, superposing the predicted value of each sub-sequence to obtain a whole prediction result. The inherent defects of the neutral network can be overcome by optimizing BP neutral network parameters by a brand-new swarm intelligence algorithm, that is, the vertical and horizontal intersection algorithm instead of the traditional algorithm; the burr problem caused by the impact load processing is solved by the wavelet decomposition, the precision declining resulting from the removal of the effective load in the burr pre-treatment is solved and the predicted value of the hybrid algorithm is more approximate to the actual measured load value.

The invention discloses an electric system economic dispatching optimization method based on a criss-cross algorithm. The criss-cross algorithm is a brand new swarm intelligence optimization algorithm and mainly comprises a horizontal cross operator and a longitudinal cross operator, wherein a multi-dimensional optimizing space is divided into hypercubes with half of the population size through horizontal cross, and each pair of paired parent particles searches for filial generations in its hypercube subspace and the periphery of the hypercube subspace; arithmetic cross search is executed on different dimensions in the population with a certain probability through longitudinal cross; a domination solution obtained from a moderate solution generated through two kinds of cross through a competition operator will rapidly spread into the whole population in a chain reaction mode, so that the evolution speed is greatly increased. The electric system economic dispatching optimization method based on the criss-cross algorithm has the advantages of being high in global searching ability and high in convergence rate through the criss-cross algorithm, applicable to optimizing a non-linear high-dimensional function and also applicable to achieving large-scale complex optimization in practical engineering.

The invention provides a multi robot path planning method based on a multi-target artificial bee colony algorithm and belongs to the technical field of path planning. The method includes path planning problem environment modeling, multi-target artificial bee colony algorithm parameter initialization, three-variety bee iteration optimization path and non-inferior solution determination, good path reservation by sequencing and optimum path set outputting. By means of the method, the standard artificial bee colony algorithm is improved based on the concept of non-domination sequence of Pareto domination and crowd distance, and the multi-target artificial bee colony algorithm applicable to solving the multi-target optimization problem is provided. In the path planning process, multiple performance indexes of path length, smoothness and safety are considered in the algorithm, and a group of Pareto optimum paths can be acquired through one-step path planning. The path planning method belongs to meta-heuristic intelligent optimization methods, is different from the traditional single-target path planning method, and can well adapt to path planning tasks in complex environment.

The invention relates to an image enhancement method and an image enhancement device, and belongs to the field of image processing. The method comprises the following steps: acquiring an image by using a camera and then digitalizing the image; making full use of the related information of the gray-scale difference between pixels or the gray-scale difference of pixels in adjacent areas so as to effectively integrate mage smoothing and image sharpening by using a segment processing method; and finally, eliminating the image noise boundary by using a boundary suppressor so as to realize image enhancement processing. The image enhancement method and the image enhancement device are particularly suitable for enhancing noise images, and have the advantages of simple algorithm, high efficiency and high stability; and the enhancement techniques in the device are clear in structure, strong in independence and less in controllable parameters, so the user is facilitated to obtain expected output images after effect enhancement.

The invention relates to a preparation method for a conduction and sustained release type nervous tissue engineering scaffold. The method comprises the following steps: silk fibroin Silk and lactic acid-caprolactone copolymer are dissolved in a solvent, dissolved and stirred to obtain a solution, then polyaniline and camphorsulfonic acid are added and stirred and mixed uniformly to obtain a cortex electrospinning solution, and NGF (nerve growth factors) are dissolved in ultrapure water completely to obtain a core electrospinning solution; and the cortex electrospinning solution and the core electrospinning solution are accommodated in an injector respectively for coaxial electrospinning, and then fumigation treatment and vacuum drying are performed to obtain the conduction type nervous tissue engineering scaffold. According to the prepared nanofiber scaffold, the nerve repair speed is increased from ways including external electrical stimulation (conductive polymer), biochemistry (NGFs), a topological structure required by nerve regeneration (orientation guide) and the like. The method is simple to operate, good in repeatability and high in economic benefit, and provides novel experimental thought for nerve defect repair in clinical application.

The invention discloses a three-dimensional route planning method. The three-dimensional route planning method disclosed by the invention has the advantages that the original fruit-fly optimization algorithm is improved to solve unmanned-plane three-dimensional route planning under the threat situation of complex terrain environments and battlefields, and under the premise of considering complex situations and unmanned-plane performance constraint, the optimal or sub-optimal three-dimensional flying route is calculated for an unmanned plane.

The invention provides a self-anti-disturbance sliding mode control method for a vertical rising and landing reusable vehicle. The method comprises steps of converting an attitude angle guidance instruction into a quaternion; establishing an attitude control model based on quaternion description; designing a nonlinear feedback control law; designing an extended state observer; and designing self-anti-disturbance sliding mode controller. The invention effectively avoids the singularity problem of the attitude, and designs the corresponding quaternion-based self-anti-disturbance sliding mode controller based on the attitude control model, so as to adapt to the control requirements of different actuators in different flight phases, overcome internal and external interference, and ensure highaccuracy, fast response, strong robustness and adaptive control performance, which has important research significance for the vertical rising and landing reusable vehicle recycling technology.

The invention relates to a method used for balancing three phases of direct current side voltages of a chain power regulating device, and belongs to the technical field of the control of power electronic devices. The method comprises the following steps of: acquiring direct current side voltages of each H-bridge unit in the three phases of a chain power regulating system; filtering ripples from the direct current side voltages; taking the direct current side voltages of which the ripples are filtered as feedback signals; calculating an average value of the three phases of the direct current side voltages based on the direct current side voltages; taking difference values between the three phases of the direct current side voltages and the average value as command signals; calculating an amplitude value and a phase angle of a negative sequence voltage according to the difference values by utilizing corresponding formulae; obtaining a required negative sequence according to an electric angle of a power supply voltage at a device grid place; and after the negative sequence voltage is superposed to an output voltage command used for power control in the device, driving the device to output an alternating current voltage so as to realize the balance control of the three phases of the direct current side voltages. The method of the invention has the characteristics of software implementation, simple algorithm, obvious effect and contribution to engineering application.

The invention belongs to the technical field of electric drive track vehicle control, and particularly relates to a driver signal analysis method for electric drive track vehicle control. According to the method, target vehicle speed is determined by utilizing difference between the opening degree of an accelerator pedal and the opening degree of a brake pedal, and acceleration and deceleration slope control is realized by limiting the difference value of the target vehicle speed and the actual vehicle speed; the difference of the target rotating speed of motors on double sides is determined by utilizing a steering wheel angle and sideslip limit turning radius, so that the difference between the target rotating speed and the actual rotating speed of each of the motors on double sides is determined; the driving torque of each of the motors on double sides is obtained by a PI regulator, so that the control method enables the vehicle to finish straight driving and turning functions and avoids sideslip caused by too small turning radius.

The invention discloses a cognitive radio network spectrum allocation method based on a cuckoo search algorithm. Cognitive network total benefit maximization is used as an optimal object, and based on the cuckoo search algorithm, the efficient spectrum allocation method is designed. The performance of solution space exploring by the cuckoo search algorithm is high, the cuckoo search algorithm can jump out of a local extremum flexibly, the structure is very simple, the number of control parameters is small, parameter adjusting and setting are convenient, and implementation is easy. The cuckoo algorithm is used in radio spectrum resource allocation, radio spectrum resources can be efficiently allocated to cognitive users, cognitive network benefit maximizing can be well achieved, and the spectrum efficiency is improved.

The invention provides a back-to-back flexible direct current transmission system and a double-loop additional frequency control method. The back-to-back flexible direct current transmission system comprises a back-to-back converter body, a basic controller, an active additional controller and a reactive additional controller, wherein the basic controller is used for enabling DC-side voltage of the back-to-back converter body, the transmitted active power and reactive power absorbed or sent to a power grid to keep constant according to an instruction of a constant active power control loop, aninstruction of a constant reactive power control loop, an instruction of a constant DC voltage control loop and an instruction of a constant AC voltage control loop; the active additional controlleris used for performing proportional-integral control on a frequency deviation input signal to output an active power additional reference instruction value; and the reactive additional controller is used for performing differential control on the frequency deviation input signal to output a reactive power additional reference instruction value. According to the invention, frequency support for a disturbed alternating current system is realized through changing the active power instruction value and the reactive power instruction value.

The invention discloses a process and a device for refining oil by dry distillation of oil shale. The process is characterized in that methane generated in the dry distillation process of the oil shale can be repeated used as a hot carrier in the dry distillation of the oil shale. The retort for realizing the dry distillation oil refining process is characterized in that: the retort has a vertical round-square structure, namely the cross section of the upper part is round, the cross section of the lower part is square, and the inside diameters of the upper and lower parts are the same; and array umbrellas, a herringbone baffle plate, a device shaped like a Ding(ancient cooking vessel of China) or in an Asi structure, an air distribution and material distribution tracery wall, a coke discharging tank, a cooling water jacket, a water seal pool, a coke pushing machine and a scraper conveyor are arranged in the retort from top down in turn. The daily handling capacity of the retort is 500 to 1,000 tons. The invention is suitable for refining oil by dry distillation of oil shale with low methane content, low solid carbon content, low water content and a particle size of 5 to 75 milliliters, and the recovery rate of the oil is 85 to 90 percent.

The present invention discloses a microwave photonic broadband radar imaging chip, and belongs to the integrated microwave photonic technology field. According to the present invention, by a photonicIntegration technology, the emission end and the reception end of a microwave photonic broadband imaging radar are integrated in the same chip, the chip is integrated with the following photonic assemblies of a semiconductor laser, a first 1*2 optical coupler, a Mach-Zehnder modulator, an optical attenuator, an optical phase shifter, a 2*1 optical coupler, a second 1*2 optical coupler, an emissionend photoelectric detector, a phase modulator and a reception end photoelectric detector, and the photonic assemblies are connected via the optical waveguides. The present invention also discloses amicrowave photonic broadband radar imaging system. According to the present invention, a high-frequency broadband linear frequency modulation emission signal of the broadband imaging radar can be generated in the optical domain, and an echo can be demodulated to an intermediate frequency or a base band by utilizing a microwave photonic frequency mixing technology, so that the real-time processingof the high-resolution target imaging can be realized. The microwave photonic broadband radar imaging chip and the microwave photonic broadband radar imaging system of the present invention have theadvantages of being small in size, high in integration degree, good in stability and low in cost, etc.

The invention discloses shape-controlled battery grade iron phosphate and a preparation method thereof. The method comprises the following steps of: (1) preparing reaction mother liquor; (2) dissolving raw materials in the mother liquor to form reaction liquor; (3) carrying out a hydrothermal reaction; and (4) filtering, washing and drying the product. The preparation method disclosed by the invention is simple in technical process and less in control parameters, and iron phosphate with regular shape can be obtained without any plasticizers and dispersants. The filtrate in the step (4) is recovered as the reaction mother liquor which can be repeatedly used, so that the method is saving and environmental-friendly. The iron phosphate prepared by the method is high in purity, wherein the ratio of phosphorus to iron is 1:1. The iron phosphate is formed by iron phosphate particles with regular shapes. The particles are combined by sheet or columnar primary particles in nanoscale. The shapes of the particles after combination are circular sheets, similar spheres, spheres or porous spheres. The monodispersity of the iron phosphate particles is good, and the diameter size is adjusted in the range of 1-50 mu m.

The invention provides a stannum oxide/stannum-carbon composite material, and a preparation method and application thereof. The preparation method comprises the following steps of: mixing stannum powder and carbon powder according to the mass ratio of 1:0.3 to 1:0.7, performing vacuumizing, charging oxygen, and performing ball-milling by adopting a dielectric barrier discharge plasma-aided high-energy ball-milling method to obtain the stannum oxide/stannum-carbon composite material which is a Sn and SnOx/C composite material, wherein oxygen pressure in a ball milling process is ensured to be 0.1 to 0.12MPa. The structure of the composite material is that: amorphous-nanocrystalline stannum oxide is coated on the surface of stannum to form a core shell structure, and the core shell structure is uniformly distributed in a graphite substrate. When used as an anode material for a lithium ion battery, the Sn and SnOx/C composite material has high capacity and high cycle performance. The preparation method is simple, high in powder yield and pollution-free.

The invention provides a building energy consumption prediction method based on an artificial bee colony algorithm and a neural network. The method comprises the steps that firstly, the artificial bee colony algorithm is utilized for conducting weight value optimization on the neural network; secondly, the optimized neural network is utilized for predicting building energy consumption. The artificial bee colony algorithm is an optimizing algorithm simulating a bee colony and has the advantages that control parameters are fewer, implementation is easy, and calculation is convenient; compared with a particle swarm algorithm, a genetic algorithm and other intelligent computing methods, the artificial bee colony algorithm has the prominent advantages that in each iterative process, global search and local search are both performed, the probability of finding an optimal solution is greatly increased, local optimum is avoided to a great extent, and global convergence is enhanced. Thus, when the artificial bee colony algorithm is adopted to optimize the initial weight value of the neutral network, the accuracy of the neutral network predicting the building energy consumption is improved, and meanwhile the defects existing in weight value optimization of the neutral network at present can be overcome obviously.

The invention discloses an environmental-friendly mercuric chloride metal catalyst, which consists of an inhomogeneous mercuric chloride metal catalyst and a polymer coated on the surface of the inhomogeneous mercuric chloride metal catalyst in a film mode. In a reaction of producing vinyl chloride by acetylene hydrochlorination, due to the adoption of the catalyst, on the premise of ensuring the activity of the catalyst and the selectivity of vinyl chloride, the environment and health problems caused by Hg sublimation are reduced. The catalyst has the characteristics of high catalyzing efficiency, low toxicity, mild catalyst release and the like. The invention also discloses a preparation method of the environmental-friendly mercuric chloride metal catalyst. In the preparing process, few parameters need to be controlled. The preparation method has high repeatability and strong controllability and is easy for industrial production.

The invention provides a bee colony optimization based network traffic scheduling method under multiple QoS (quality of service) constraints. According to the method, a multi-objective optimization problem is solved with a multi-objective artificial bee colony optimization algorithm, a fitness function is improved in combination of the algorithm with a Pareto sorting mechanism and a crowding distance, solution selection is performed with a Boltzmann strategy, a found Pareto solution is recorded with an external file, and neighborhood search of the colony is guided according to global information, so that the found Pareto optimal solutions are uniformly distributed at the real Pareto optimal front end. The degree of importance of each objective is analyzed according to actual conditions, an optimal traffic scheduling scheme is determined, so that after traffic scheduling, the network traffic is scheduled as required, the service level for users is improved, the utilization rate of network resources is increased, the load balancing purpose is achieved, and the traffic scheduling effect is optimal. With the application of the method, the high-utilization and low-consumption traffic scheduling of the network traffic under the multiple QoS constraints can be realized.

The invention discloses a transmission line inspection path optimization method based on a differential crisscross optimization algorithm. The algorithm is a hybrid optimization algorithm composed of a differential evolution algorithm and a crisscross optimization algorithm. The crisscross optimization algorithm (DE-CSO) fuses the strong global search ability of the crisscross optimization algorithm and the local search ability of the differential evolution algorithm. The transmission line inspection path optimization method disclosed by the invention has the beneficial effects that the DE-CSO method disclosed by the invention is used for solving the multi-target transmission line inspection path problem in which a tower risk probability and the shortest path are considered at the same time, meanwhile the DE-CSO method has good global approximation ability and fast convergence performance, and thus having important practical significance of improving the line inspection planning level and improving the inspection efficiency.

The invention discloses a double-wire arc welding power system based on sinusoidal wave modulating pulses. The system comprises a mathematical model, a control detection circuit, and an intelligent expert welding panel; the mathematical model is designed for sinusoidal wave modulating pulses and used for changing peak values and basic values of welding pulse current according to the sinusoidal law to generate a peak value and basic value current sequence; the control detection circuit is used for closed-loop control of the system, a DSP is used for flexible encoding, a sinusoidal wave modulation pulse technique is achieved on the basis of the mathematical model, changes in the peak values and basic values of the welding pulse current can be controlled through sinusoidal wave; the intelligent expert welding panel is used for allowing a man-machine interaction function, regulating parameters of sinusoidal wave modulating pulse current welding in the mathematical model, selecting and unifying the welding parameters and optimally building a sinusoidal wave controlled pulse current welding expert database. The double-wire arc welding power system based on sinusoidal wave modulating pulses has the advantages that gradient energy welding easy to operate is achieved, inputting of welding energy can be controlled precisely, and pulse changes are stable.

The invention relates to a method for extracting chlorogenic acid, and in particular relates to a method for refining chlorogenic acid from a honeysuckle crude extract. The method specifically comprises the following processes: a process of removing impurities by adopting a macroporous resin column A, a macroporous resin column B enrichment and purification process and a middle-pressure liquid chromatography (MPLC) refining process. The method comprises the following steps: by adopting a honeysuckle crude extract as a raw material, fully dissolving the raw material by using deionized water to prepare an aqueous solution of the honeysuckle crude extract, removing the impurities of the aqueous solution by virtue of macroporous resin column A adsorption, enabling an effluent liquid to directly pass through a macroporous resin column B, performing dynamic adsorption and saturation, feeding an impurity washing liquid to wash the impurities until the effluent liquid is colorless, eluting macroporous resin B by using an eluent until high performance liquid chromatography (HPLC) detects that no chlorogenic acid flows out, collecting the eluent, performing reduced pressure concentration on the eluent, and performing gradient elution by virtue of the MPLC provided with a C18 reverse phase silica gel column to prepare a chlorogenic acid product with the purity of more than 98%. According to the method disclosed by the invention, a process of preparing high-purity chlorogenic acid by using the MPLC is proposed for the first time; and the method is large in sample treatment quantity and simple to operate, and is suitable for large-scale preparation.