37results about How to "Reduce non-linearity" patented technology

The invention discloses a wind power prediction method based on improved LSTM and FA-KELM, and the method comprises the steps: obtaining the wind power data of a wind power plant, carrying out the normalization of the wind power data, and carrying out the decomposition of the wind power data through employing CEEMDAN; calculating the fuzzy entropy of the obtained subsequences, performing secondary decomposition on the subsequence with the maximum fuzzy entropy by using a PSO-VMD algorithm, and dividing other sequences into a high-entropy sequence and a low-entropy sequence according to the fuzzy entropy; the method comprises the following steps: improving an LSTM network, and replacing an input gate, a forgetting gate and an output gate in the LSTM network with a gate control structure with a cross coupling structure to obtain ConvsLSTM; mIC is adopted to screen out meteorological factors with large correlation with wind power in the meteorological factors of the wind power plant; and in combination with the obtained meteorological factor data, predicting the obtained high-entropy sequence by using ConvsLSTM, and predicting the low-entropy sequence by using FA-KELM. And superposing the predicted values of all the components, and carrying out reverse normalization to obtain a final ultra-short-term wind power prediction result. According to the method, the appropriate prediction model can be selected for the power subsequences with different complexities, and the overall wind power prediction precision is improved.

A non-contact three-dimensional displacement sensor disclosed by the present invention comprises a mechanical probe and a detection circuit, the mechanical probe part comprises a differential fixed block and an end cross beam, and two parallel inner side surfaces of the differential fixed block are fixedly provided with a first differential coil and a second differential coil respectively. A first target conductor located under the first differential coil is fixedly arranged on the top face of the suspension end of the cross beam, and a second target conductor located over the second differential coil is fixedly arranged on the bottom face of the suspension end of the cross beam. A pair of receiving coils Lx is fixedly arranged on the top face of the first target conductor or / and the bottom face of the second target conductor in the horizontal x direction, a pair of receiving coils Ly is fixedly arranged in the horizontal y direction, and the two pairs of receiving coils form a structure shaped like a Chinese character'jing '. The non-contact three-dimensional displacement sensor provided by the invention has better quasi-static resolution and displacement sensitivity in three directions, realizes decoupling in all directions, and has excellent performance in indexes such as linearity, measuring range and the like.

The invention relates to the technical field of sensors, and discloses an inductive displacement sensor, which comprises a substrate, two pairs of rectangular receiving coils fixedly arranged on the surface of the substrate and a vortex linear exciting coil, an initial plane coordinate system is created by taking the center of the substrate as an original point, and the two receiving coils in each pair are arranged in parallel; the excitation coil is located on the side, away from the substrate, of the receiving coil and is parallel to the surface of the substrate. In the initial state, when the projection of the center point of the exciting coil on the substrate coincides with the original point of the initial plane coordinate system and the receiving coil has displacement in the xy plane relative to the exciting coil, the two pairs of coils output relative displacement in the x direction and the y direction respectively, and decoupling of the relative displacement in the two directions is achieved at the same time. Displacement measurement in two directions can be carried out at the same time, high-precision and high-stability measurement of displacement signals is achieved, the good dynamic response characteristic is achieved, and errors caused by movement of mechanical parts are reduced.

The invention discloses a short-term wind power prediction method based on secondary decomposition and a neural network, and the method comprises the following steps: obtaining an original wind power signal, carrying out the noise reduction processing, and decomposing the original wind power signal into a plurality of initial mode components; preprocessing is carried out, and corresponding high-resolution characteristic signals are extracted; inputting the high-resolution characteristic signal into a pre-trained wind power prediction model; outputting a corresponding wind power prediction result; the wind power prediction model comprises two parallel branch networks; the first branch network is a two-way time domain convolution network and a two-way gating circulation unit; the second branch network is a two-dimensional convolutional neural network and a two-way long-short-term memory network; the two parallel branch networks are optimized on the basis of an improved salmons algorithm. According to the method, comprehensive optimization among different models and algorithms is considered, deep correlation and dynamic change characteristics among data are fully mined and utilized, the global search capability is enhanced, a local optimal solution is avoided, and short-term wind power prediction errors are remarkably reduced.

The utility model provides a compensation device based on a magnetic suspension motor and an eddy current displacement sensor, which belongs to the technical field of magnetic suspension motor unbalanced signal extraction and suppression and comprises a differential eddy current displacement sensor, a nonlinear compensation circuit, a digital signal processor, an eddy current effect compensation circuit and an upper computer. The differential eddy current displacement sensor is used for acquiring displacement information and rotor temperature of a rotor of the magnetic suspension motor, and temperature compensation is carried out on the displacement information of the rotor by adopting a temperature compensation circuit built in the differential eddy current displacement sensor according to a temperature compensation control signal of the upper computer; and the upper computer is used for correspondingly obtaining a resistance value of a variable resistor Rt in the temperature compensation circuit according to the rotor temperature and the environment temperature when receiving the rotor temperature, and sending a temperature compensation control signal to the differential eddy current displacement sensor according to the resistance value of the variable resistor Rt. According to the invention, the accuracy of signal acquisition under complex conditions is ensured.

A six-degree-of-freedom adaptive active and passive composite space electromagnetic array damper belongs to the technical field of precise vibration isolation, and uses six sets of electromagnetic vibration isolation dampers which are connected with an upper plate and a substrate and are arranged in a Stewart mode to generate low-frequency high damping and high-frequency low damping characteristics in six degrees of freedom, so as to comprehensively and effectively isolate tiny vibration interference of different frequencies. Each set of electromagnetic vibration isolation damper adopts 4n (n is greater than or equal to 1, n belongs to N +) layers which are arranged in an array along the axial direction, vertical magnetized uniform-section magnetic rings between adjacent layers are used for constructing a high-damping excitation magnetic field, the change of external excitation frequency is responded in real time, the magnitude and direction of coil current are precisely regulated and controlled through a speed feedback control method, the damping force is dynamically adjusted to adapt to different working conditions, and the vibration isolation effect is good. And the optimal vibration isolation effect is ensured. Due to the adaptability and the stability of the self-adaptive active and passive composite space electromagnetic array damper, the self-adaptive active and passive composite space electromagnetic array damper still keeps high vibration isolation performance in a multi-degree-of-freedom and frequency-diversified vibration environment, and stable operation of precise instruments and equipment is guaranteed.

The invention discloses a low-coupling biaxial silicon micro-resonant accelerometer. The low-coupling biaxial silicon micro-resonant accelerometer comprises an upper-layer micro-accelerometer structure and a lower-layer glass substrate with a signal lead, the micro-accelerometer structure is composed of two separated mass blocks, two pairs of identical tuning fork resonators and eight identical primary amplification levers. The two separated mass blocks are fixed on the same group of anchor points through U-shaped beams in different directions and are respectively used for measuring the acceleration of X / Y axes, and the whole structure is in a symmetrical figure. The four tuning fork resonators are distributed in a central symmetry mode and used for detecting the acceleration of the X axis and the acceleration of the Y axis. The X-axis and the Y-axis adopt the separated mass blocks, the sensitive mass blocks of the X-axis and the Y-axis are not connected, complete decoupling of the two detection axes is achieved, the lever structure can effectively amplify inertia force generated by the mass blocks, the sensitivity of the accelerometer is improved, and high-precision double-axis acceleration measurement is easy to achieve.

The invention discloses an optical measurement segmental arc correlation method based on probability expression, and the method comprises the steps: obtaining an initial orbit feasible region of a segmental arc through an admissible domain, carrying out the uniform distribution discrete sampling of the admissible domain, and describing the uncertainty distribution of the initial orbit of the segmental arc through a Gaussian mixture model. The uncertainty distribution and propagation of the orbit are described in a corrected spring equinox orbital element space, and the state transition tensor of a gravity potential model of any order is applied, so that the precision and speed of orbit uncertainty propagation are improved. In combination with a Gaussian mixture model and a state transition tensor, sparse sampling points are used as component mean propagation dense sampling points of the Gaussian mixture model, and uncertainty distribution of the initial orbit of the arc section is propagated to a common moment. And giving a definition of association probability measurement, calculating the association probability measurement by utilizing a probability density function of track distribution of the segmental arc at the public moment, and carrying out association judgment on the optical measurement segmental arc based on probability expression.

The invention relates to a fast-response closed-loop micro-thrust measurement method and device based on dynamic thrust inversion. The method comprises the following steps of obtaining kinetic equation parameters of a measurement system; in each control period, calculating a control quantity, and taking the control quantity as a standard force; in the current control period, based on displacement data obtained through measurement of the measurement system and the kinetic equation parameters, the resultant force of the previous control period is calculated through a kinetic inversion algorithm; on the basis of the difference between the standard force of the previous control period and the resultant force, the thrust to be measured of the previous control period is obtained through calculation; and performing low-pass filtering processing on the thrust to be measured to obtain a final result. Compared with the prior art, the method can improve the measurement response speed on the premise of not increasing the noise level.

The invention is suitable for the technical field of oil-gas exploration, and provides a seismic data convolution cross-correlation intelligent FWI method, which integrates a proposed seismic data convolution cross-correlation FWI target equation into a deep learning framework, and combines an automatic encoder technology to significantly reduce the nonlinearity of the traditional FWI, effectively avoid the cycle jump problem, and improve the accuracy of the FWI. Therefore, the speed model inversion precision of the FWI is improved. Finally, the FWI technology which can still carry out stable and accurate high-resolution speed modeling under the conditions that seismic source wavelets are unknown, the initial speed is unknown and low-frequency data are missing is realized, and the method has important significance on seismic exploration.

The invention discloses a photovoltaic power generation power prediction method and system based on similar daily clustering and FEDform, and the method comprises the steps: obtaining photovoltaic power generation power historical data of a photovoltaic power station, carrying out the preprocessing of the photovoltaic power generation power historical data, and replacing a missing value with a mean value of the data of a same time node; clustering the replaced photovoltaic power generation power historical data set by using a KFCM, and evaluating a clustering effect in combination with a clustering evaluation index; performing correlation analysis on historical data sets after similar daily clustering of the KFCM clustering algorithm through an SRCC method, and determining meteorological characteristic factors with relatively high correlation with photovoltaic power generation power as input variables of an FEDformer prediction model; decomposing the correlation data set by using VMD to obtain a plurality of groups of subsequences so as to further extract features of different time scales; and predicting each sub-sequence by adopting an FEDformer prediction model, and accumulating prediction results of the sub-sequences to obtain a final photovoltaic power generation power prediction result. The stability of the photovoltaic power generation power and the accuracy of the prediction effect can be remarkably improved.

The invention discloses a gas laminar flow meter flow calibration method based on a genetic algorithm, and relates to the technical field of laminar flow meter measurement and calibration, and the method comprises the following steps: A, collecting test data, and dividing the test data into a training set and a test set; step B, constructing a BP neural network model; c, training the BP neural network model by using the training set data; d, parameters of the trained neural network model are solidified into the gas laminar flow meter, real-time flow is obtained through calculation, and therefore the flow measured by the flow meter is corrected in real time. Compared with the prior art, the actual error value of the calibration algorithm of the gas laminar flow flowmeter is smaller than 0.1%, and accurate measurement of the flowmeter is achieved. The problem that a calibration formula based on the Hough-Poiseuille law is large in error in the past is solved.

The frequency modulation MEMS accelerometer comprises a resonator I and a resonator II which are in central symmetry, the resonator I and the resonator II are connected to a mass block in a bilateral symmetry mode, and each of the resonator I and the resonator II comprises an annular structure located in the middle. The middle annular structure is connected with a center anchor point located in the middle of the annular structure through four sets of first decoupling beams, the center anchor point is fixed to the substrate, the left side and the right side of the annular structure are each connected with a driving detection electrode, and the front side and the rear side of the annular structure are each connected with an electrostatic tuning electrode. The driving detection electrodes and the electrostatic tuning electrodes are variable-area comb teeth electrodes, the left side and the right side of each electrostatic tuning electrode are connected with the front end and the rear end of the displacement balance lever on the left side and the right side respectively, and the front end and the rear end of each displacement balance lever are connected with the L-shaped beams on the front side and the rear side through second decoupling beams respectively. According to the invention, the inherent frequency of the resonator can be accurately captured through self-oscillation, and the control precision is improved.

The invention belongs to the technical field of power system dispatching, and discloses a constraint learning embedded optimization method and system for an AC security constraint unit committee, and the method comprises the steps: constructing a mixed integer nonlinear model of an AC power flow-considered SCUC problem of a to-be-optimized power system; constructing a data set by taking the input data of the alternating current power flow constraint as a sample and taking the output data of the corresponding alternating current power flow constraint as a label; adopting the data set to train a neural network in an off-line manner to obtain a trained neural network representing the alternating current power flow constraint; linearizing a neural network representing the alternating current power flow constraint, and embedding the linearized neural network into the mixed integer nonlinear model to replace the alternating current power flow constraint in the mixed integer nonlinear model; and solving the embedded model on line by adopting an optimization algorithm to obtain an optimal solution of the security constraint unit commitment problem of the to-be-optimized power system considering the alternating current power flow. According to the method, the solving precision and solving efficiency of the AC power flow SCUC problem can be improved.

The invention discloses an intelligent broadband microwave photon receiving device assisted by a deep learning algorithm. The intelligent broadband microwave photon receiving device comprises a microwave photon receiving module and a deep learning processing module, the microwave photon module comprises a receiving antenna, a low-noise amplifier, a distributed feedback semiconductor laser, an optical fiber, an optical amplifier, a photoelectric detector, a low-pass filter and an analog-to-digital converter; the receiving antenna, the low-noise amplifier, the distributed feedback semiconductor laser, the optical fiber, the optical amplifier, the photoelectric detector, the low-pass filter and the analog-to-digital converter are connected in sequence, and the analog-to-digital converter is connected with the deep learning processing module. According to the device, through the combination of the microwave photon receiving module and the deep learning processing module, the dependence on high-performance hardware is reduced, the complexity and cost of the system are reduced, software compensation for hardware performance is realized, and the requirement for expensive and high-precision equipment is reduced.

The present invention discloses a non-contact three-dimensional displacement sensor, comprising a mechanical probe and a detection circuit. The mechanical probe part comprises a differential fixed block and an end cross beam. A first differential coil and a second differential coil are fixedly arranged on two parallel inner side surfaces of the differential fixed block respectively. A first target conductor located directly below the first differential coil is fixedly arranged on the top surface of the suspended end of the cross beam, and a second target conductor located directly above the second differential coil is fixedly arranged on the bottom surface. A pair of receiving coils are fixedly arranged on the top surface of the first target conductor or / and on the bottom surface of the second target conductor along the horizontal x direction. L x A pair of receiving coils are fixedly arranged along the horizontal y direction L y The two pairs of receiving coils form a "well" structure. The non-contact three-dimensional displacement sensor of the present invention has better quasi-static resolution and displacement sensitivity in three directions, realizes all-directional decoupling, and has excellent performance in linearity, range and other indicators.

A phase-locked loop (PLL) circuit, an operating method thereof, and a sub-range control circuit are provided. The PLL circuit includes a time-to-digital converter (TDC), a loop filter, a digitally controlled oscillator (DCO), a feedback circuit, a sigma-delta modulator (SDM), and a prediction circuit. The TDC includes a phase detector and a processing circuit. The phase detector generates a charging current signal according to an input frequency signal and a feedback signal. The processing circuit limits a voltage level corresponding to the charging current signal within a certain voltage range according to a prediction signal to generate a digital output. The loop filter is coupled to the TDC to perform a low-pass filtering operation according to the digital output. The DCO generates a DCO frequency signal according to an output of the loop filter. The feedback circuit generates the feedback signal according to the DCO frequency signal. The sigma-delta modulator (SDM) generates a phase signal representing accumulated phase shift information to the prediction circuit according to information of the feedback circuit and fractional frequency information. The prediction circuit generates the prediction signal according to the phase signal.

The application discloses a parallel hole damping-spiral tube inerter underwater damping device and belongs to the technical field of underwater vibration control. The device comprises an upper shell, a lower shell, a damping spring, an open small hole damping and an open fluid inerter. The upper shell and the lower shell are two parts in relative sliding. The damping spring and the open small hole damping are assembled in parallel to form an integral body, which together constitutes an open spring damping. The open spring damping and the open fluid inerter are connected in parallel, and the upper and lower ends of the two are respectively fixed to the upper shell and the lower shell. The open small hole damping and the open fluid inerter are both installed in the upper shell and the lower shell. The application adopts a parallel topology structure of inerter, damping and spring. The double spiral pipes and the symmetrical piston rods realize the fluid inerter effect in two directions. The small holes on the damping piston realize the speed-dependent throttling damping. The device has the characteristics of wide frequency vibration isolation, strong static load capacity, symmetrical positive and negative characteristics and deep water environment.

The invention discloses a frequency modulation MEMS accelerometer based on a ring resonator, comprising two centrally symmetrical resonators I and II, wherein the resonators I and II are symmetrically connected to a mass block, and both the resonators I and II include a ring structure located in the middle, wherein the ring structure in the middle is connected to a central anchor point located in the middle of the ring structure through four groups of first decoupling beams, wherein the central anchor point is fixed on a substrate, wherein the left and right sides of the ring structure are respectively connected to a driving detection electrode, and the front and rear sides are respectively connected to an electrostatic tuning electrode, wherein the driving detection electrode and the electrostatic tuning electrode are both variable area comb teeth electrodes, and the left and right sides of each electrostatic tuning electrode are respectively connected to the front and rear ends of the displacement balance levers on the left and right sides, and the front and rear ends of each displacement balance lever are respectively connected to the L-shaped beams on the front and rear sides through second decoupling beams. The invention is conducive to the self-excited oscillation to accurately capture the natural frequency of the resonator and improve the control accuracy.

The invention provides an epitaxial structure of a gallium nitride thin film and a preparation method, and relates to the technical field of semiconductors, and the epitaxial structure comprises a substrate, a buffer layer, a GaN thin film, an AlGaN barrier layer and an insulating layer which are sequentially laminated; the insulating layer is provided with a plurality of rectangular gate slots, a first source slot and a second source slot. The bottom of the first source slot and the bottom of the second source slot extend to the bottom of the AlGaN barrier layer. The comb-shaped grid is provided with a plurality of rectangular grid roots matched with the rectangular grid root slots; the width of each rectangular gate heel in the longitudinal direction of the epitaxial structure and the distance between the adjacent rectangular gate heels are constrained by the actual intrinsic transconductivity of the epitaxial structure; when a break-over voltage is applied to the comb-shaped grid electrode, the two-dimensional electron gas layer between the multi-contact pin source electrode and the multi-contact pin drain electrode is conducted, a conductive channel is formed, the stability of source electrode access resistance is improved, the non-linear change of the source electrode along with the current or voltage is reduced, and the linearity of the epitaxial structure is further improved.

The invention relates to the technical field of reactive power voltage regulation of new energy stations, and discloses research and application of a reactive power voltage regulation technology of a new energy station based on an SVG device, and the SVG device comprises an SVG body which comprises the following working modes: a manual reactive power output mode; a constant voltage control mode; a constant reactive power control mode; and a constant power factor control mode. When the communication is interrupted, the reactive power generated by the SVG body does not jump, the stable operation of the control bus voltage is ensured, the power supply quality of the power system is improved, the generation and propagation of harmonic waves can be reduced by installing the filter at the inverter output end of the photovoltaic power station or the power grid access point, the control strategy of the inverter can be optimized, and the power supply efficiency is improved. The nonlinear characteristic of the inverter during working is reduced, the generation of harmonic waves is reduced, the impedance characteristic of the SVG body is improved, the resonance suppression capability of the SVG body is improved, the probability of resonance of the system is reduced, and the use effect is improved.

This invention belongs to the technical field of pressure generation control and sensor calibration. It discloses a high-pressure gas pressure servo control and calibration measurement device. The device includes an inlet pipe, a pressure reducing valve, a second solenoid valve, a pressure sensor, a pressure chamber, a first solenoid valve, and a high-pressure electric servo valve. The inlet pipe is connected to the pressure reducing valve, which is connected to the first solenoid valve via a pipe. The first solenoid valve is connected to the high-pressure electric servo valve via a pipe, and the high-pressure electric servo valve is connected to the second solenoid valve via a pipe. The second solenoid valve is connected to the pressure chamber via a pipe, and the pressure sensor is connected to the pressure chamber. The pressure chamber is also used to connect a pressure sensor to be measured. This invention controls the pressure within the pressure chamber through the high-pressure electric servo valve, achieving high-precision and high-response pressure control, primarily solving the problem of the lack of real-time inflation / deflation control functionality.

The present application discloses an encoding method and a phase interpolator of a phase interpolator, aiming to solve the problem of large nonlinearity of the output phase of the existing phase interpolation structure. Two channels are selected by digital signals, and the phases are summed according to different weights to obtain an output phase signal. The phase interpolator includes a phase input signal module, a weight selection module and an output phase signal module connected in sequence, and the weight selection module includes a plurality of weighted channel units of the P channel, a plurality of weighted channel units of the N channel, and a decoding circuit; and also includes: a channel exchange module, which is arranged between the phase input signal module and the weight selection module; when the code value Code reaches the middle value of its entire variation range, the decoding circuit exchanges the connected P channel and N channel to improve the nonlinearity of the output phase.

The application discloses an asymmetric parasitic calibration segmented capacitance array, which comprises a positive end capacitance array and a negative end capacitance array, and the capacitance array comprises sampling capacitance, conversion capacitance, calibration capacitance and compensation capacitance; the sampling capacitance adopts simple switch timing, and gain error caused by high segment parasitic capacitance can be eliminated; the conversion capacitance adopts a segmented capacitance array structure, and the number and area of capacitances are reduced; the calibration capacitance is used for calibrating nonlinearity caused by parasitic capacitance of bridging capacitance and parasitic of LSB array; and the compensation capacitance matches the positive end and negative end capacitance arrays. The calibration circuit and the calibration timing sequence thereof are simple in realization and low in power consumption.

The invention discloses a nonlinear compensation circuit of an analog-to-digital converter input buffer. In the nonlinear compensation circuit of the analog-to-digital converter input buffer, the input buffer buffers the input signal of an input signal source outside the analog-to-digital converter to isolate the input signal source from a sampling switch; the common-mode buffer buffers the common-mode voltage of the analog-to-digital converter; the input end of a current replication circuit is connected to the gate end and the drain end of a top transistor of the input buffer, and the output end is connected to the gate end of the top transistor of the common-mode buffer, so that the top transistor of the input buffer and the top transistor of the common-mode buffer form a current mirror; the sampling circuit is composed of a sampling switch and a sampling capacitor, the upper plate of the sampling capacitor is connected to the output of the input buffer through the sampling switch, the lower plate of the sampling capacitor is connected to the output of the common-mode buffer, and after the sampling switch is disconnected, the upper plate of the sampling capacitor is connected to a reference voltage, the sampling capacitor maintains the voltage difference between the input signal and the common-mode signal, and sends it to a comparator.

The invention discloses a hydropower system power generation capacity prediction method and system, electronic equipment and a medium. Relates to the technical field of hydroelectric generation. According to the scheme, the influence of the rainfall process on the power generation capacity of the hydroelectric system is considered, reference power generation output sequences of different grades are divided, then missing values in the actually-measured output sequences are filled up according to the sequence similarity, and the integrity of output data can be guaranteed; the least square twinborn extreme learning machine is used for solving the power generation capacity prediction problem of the hydroelectric system, and the defect that the prediction result of a traditional method is poor is overcome; in the prediction model construction process, based on the improved grey wolf algorithm and the adaptive mapping initial solution space, an evolutionary operator is introduced to dynamically update the wolf pack position, the uniformity and diversity of the initialized population are enhanced, the global search and local search capabilities are balanced, and the parameter convergence speed and optimization efficiency are improved.

The present invention discloses a method for switching the frequency control word of a numerically controlled oscillator, and belongs to the field of phase-locked loops. Since the frequency control word of a numerically controlled oscillator may be switched in each clock cycle, the nonlinear characteristics will be brought into the output clock during the switching, resulting in an increase in the jitter of the output clock frequency. In order to effectively reduce the nonlinear error, the method for switching the frequency control word of a numerically controlled oscillator of the present invention compares two intermediate variables related to the number of currently opened Class A capacitors and the number of currently opened Class A capacitors, and sets different selection flags accordingly according to the comparison results. Finally, the number of opened Class A capacitors and the number of opened Class T capacitors are updated according to the selection flags. The present invention effectively reduces the nonlinear error of the step length of the numerically controlled oscillator, reduces the jitter of the output clock frequency, and increases the stability of the output clock phase noise spectrum through a set of special methods for switching the frequency control word of a numerically controlled oscillator.

The present application relates to a kind of hydraulic swing joint position servo system and its NDOB-SMC control method, first design hydraulic swing joint position servo system, servo valve and the cylinder body of hydraulic cylinder are integrated direct connection design in this system, abandon oil pipe connection, not only structure is more compact, and reduce part interference factor;Second, design a kind of sliding mode control strategy based on nonlinear disturbance observer, combine nonlinear disturbance observer and sliding mode control, give full play to respective advantages, improve the tracking accuracy and response speed of hydraulic swing joint;Finally, the component model library of AMEsim platform is rich and the powerful numerical operation ability of Matlab platform, by creating S-Function interface, the joint simulation of two platforms is realized, and the effectiveness and superiority of the proposed control method are verified.

The invention belongs to the technical field of performance improvement of micro-electro-mechanical accelerometers, and provides a multi-bit micro-electro-mechanical accelerometer. Comprising a meter head sensitive structure, a CV conversion circuit, a first-order control circuit, a multi-bit quantizer, a torquer coefficient module and an acceleration conversion module, and an input acceleration signal and a feedback acceleration signal are subtracted and then input to the meter head sensitive structure; the output end of the gauge head sensitive structure is connected with the input end of the CV conversion circuit; the output end of the CV conversion circuit is connected with the feed-forward input end of the first-order control circuit, and the output end of the first-order control circuit is connected with the input end of the multi-bit quantizer; the output end of the multi-bit quantizer is connected with the feedback input end of the first-order control circuit and the input end of the torquer coefficient module; the output end of the torquer coefficient module is connected with the input end of the acceleration conversion module, the acceleration conversion module outputs feedback acceleration signals, and the front end of the gauge head sensitive structure is provided with multiple pairs of feedback electrodes corresponding to multiple bits.

The invention relates to a polarization-maintaining hollow-core anti-resonance optical fiber suitable for laser transmission and broadband communication, which comprises an elliptical fiber core (1), an outermost sleeve (7) and a cladding area, and is characterized in that the elliptical fiber core (1) is filled with air; the cladding region comprises an x-direction structure and a y-direction structure, the x-direction structure comprises at least one first cladding, the y-direction structure is vertically symmetrical relative to the central axis of the x-direction structure and is divided into an upper half part and a lower half part, and each of the upper half part and the lower half part comprises at least one second cladding; the first cladding comprises a first cladding tube (2), a second nested cladding tube (3) and a third nested cladding tube (4); and the second cladding comprises an internally nested cladding tube (5) and an externally nested cladding tube (6). According to the invention, polarization and low-loss energy transmission can be realized in a 1080nm high-energy transmission wave band, and wide application prospects are realized in the aspects of communication, sensing, high-energy polarization laser transmission and the like.