108 results about "Transfer function matrix" patented technology

A control strategy for heating, ventilating, and air-conditioning (HVAC) units used to condition the environment in data centers and other commercial buildings such as retail stores with an open-plan design is provided to coordinate the operation of the actuators of the HVAC units. A supervisory controller receives feedback signals from a plurality of environmental sensors and uses a set of references values to determine control signals to the actuators of the HVAC units. A pseudoinverse of a transfer function matrix G may be used to determine the control signals from errors in the feedback signals relative to the reference signals.

The invention relates to a method for indentifying a noise source that produces noise when a vehicle accelerates, and belongs to the technical field of vehicle noise control. The method comprises the following steps: when the vehicle accelerates or travels at a uniform speed, the noise source signal, the vibration source signal, the speed signal, the response point sound pressure signal, the vehicle position signal and the like are collected; the transfer function matrix from the noise source and the vibration source to the response point is calculated; the changing response point sound pressure during the process of acceleration is synthesized and computed; and the sensitivity and the contribution degree of each noise source and vibration source are calculated. The invention has the following advantages: the noise source signal, the vibration source signal, the vehicle travelling state signal, and the ground response point sound pressure signal, which are collected during the running of the vehicle, can be utilized for accurately identifying the noise source that produces noise during the acceleration; and the quantitative relationship between the response point noise signal and each noise source is obtained and can provide a reliable basis for the reduction of noise produced by the acceleration of a running vehicle.

A technique for generating a demodulation ordering used in receive signal processing operations in a BLAST MIMO receiver that is based on a relative comparison of near-to-far resistance measures among vectors forming the estimated channel transfer function matrix is disclosed. This near-to-far resistance comparison provides a resulting demodulation ordering believed equivalent to that provided by conventional V-BLAST techniques without requiring computation of the pseudoinverse of the estimated channel matrix. Also disclosed is a successive interference cancellation technique which employs Multi-Staged Nested Weiner Filtering (MSNWF) to recover soft estimates of the transmitted component-symbols from the vector observed at the BLAST MIMO receiver. Employing such MSNWF estimation is believed advantageous in that it avoids the need for matrix inversion operations involving the estimated channel matrix, Covariance Level Order Recursive-MSNWF (MSNWF-COR) or MSNWF Conjugate Gradient techniques may be conveniently implemented to provide the desired MSNWF estimation.

The present invention belongs to the field of multi-variable system application technology. Via one set of simple and practical step response test, the distinction in powerfully coupled multi-variable system is amalyzed into the distinction in several single-in single-out systems so as to obtain precise transfer function model of the multi-variable system. Specially, the process includes four steps of initialization, step response test, synthesis of multi-variable process and parameter distinction in synthesized subprocess. The present invention can realize the real-time on-line distinction of the multi-variable system, and has less impact of step test signal required for system distinction on the normal operation of the control system and no special requirement of distinction algorithm in signal amplitude. The method of the present invention is suitable for industrial process control, robot, aeronautics, astronautics and other multi-variable systems.

The invention relates to a method for predicting the denoising effect of an active noise control system. The method comprises the steps that acoustic-structure coupling models of a vehicle body structure and a vehicle inner cavity are built; M microphones and K loudspeakers are arranged; primary signal vectors d corresponding to the M microphones are acquired; a transfer function matrix H is acquired; the weighted value lambda i of each microphone is set to constitute a diagonal matrix lambda; the steady-state output X of the loudspeakers is solved; distribution situations of sound fields in a vehicle are calculated under the simultaneous action of engine force stimulation and loudspeaker stimulation; the distribution situations of the sound fields in the vehicle are observed by adjusting the number and the positions of the loudspeakers and the number and the positions of the microphones to acquire the denoising effect of the active noise control system in different hardware arrangement schemes. When the method is compared with the prior art, because the denoising effect of the system in different hardware arrangement schemes can be compared to evaluate hardware arrangement of the system and optimize the hardware arrangement schemes, and design and development of the active noise control system are facilitated.

By adopting the method of combining mechanism analysis with experimental analysis, the invention establishes a mathematical model of a constant temperature and humidity air-conditioning system, deduces a four-output and four-input transfer function matrix, and designs a decoupling compensator by adopting the feedforward compensation method so that the transfer function matrix of the constant temperature and humidity air-conditioning system can be converted into a diagonal matrix, thereby getting rid of the coupling among control loops and carrying out verification through emulation. Results indicate that the application effect of the decoupling controller in the constant temperature and humidity air-conditioning system is better, and the quality and the performance of the system are improved and increased.

Disclosed is a V-BLAST system for a MIMO communication system. In the V-BLAST system for a MIMO communication system, a pseudo inverse matrix calculator receives a channel transfer function matrix including channel information and produces a cofactor matrix and a determinant for a pseudo inverse matrix. A norm & minimum calculator calculates a minimum index for the cofactor matrix outputted from the pseudo inverse matrix calculator, a weight vector selector selects a row vector having the minimum index and calculates a transposed matrix for the row vector; an adder adds the transposed matrix to a received input symbol, and a subtractor subtracts the determinant to the output. A demapper performs a determined function operation to the output and produces estimated information.

A prediction apparatus for sound absorption and insulation performance of a multilayer material and a method are disclosed and relate to the field of testing of sound absorption and insulation performance of materials. The apparatus comprises an impedance tube with a built-in to-be tested single-layer material, a microphone group, a power amplifier, a data acquisition device, a computer and a loudspeaker. The method comprises: firstly testing the sound absorption and insulation performance of a single-layer material; testing the transfer function matrixes of other single-layer materials, and storing in a database; and utilizing the transfer function matrixes of the single-layer materials to calculate the sound absorption and insulation performance of the multi-layer material. According to the technical scheme, a four pole network theory is firstly utilized for testing the transfer function of the single-layer materials, and then the transfer function matrixes of the single-layer materials are utilized for directly obtaining the sound absorption coefficient and the transmission loss of the multi-layer material. The method is easy to realize and convenient to operate, also is high in testing precision, makes up insufficiency of impedance tube testing, and is widely applicable to noise optimization control of multiple fields.

A method for controlling limit PID of multi-input / multi-output system includes identifying model as per transfer function matrix of multi-input / multi-output procedure, designing three optimum demodulation factors based on robust control theory, designing optimum controller based on said factors and optimum performance target, simplifying sub controller in controller matrix, obtaining output control signal by calculation and sending it to executor after D/ A conversion to act it onto controlled object to let controlled object be operated in set range.

The invention provides a generator set multivariable system identification method based on normal operating data. The method comprises the steps that the step response test is carried out on a generator set multivariable system running normally to obtain input and output signals of loops of the generator set multivariable system, the signal decomposition and the spectral analysis are carried out to obtain the maximum critical frequency of all the loops of the generator set multivariable system, the frequency characteristics of the generator set multivariable system on a plurality of frequency points are calculated according to the maximum critical frequency, and a transfer function matrix model of the generator set multivariable system is established according to the frequency characteristics. According to the technical scheme, the identification process of the strongly-coupled generator set multivariable system is divided into the identification processes of a plurality of single-input and single-output systems, the frequency characteristics of the system in the important frequency bands are determined through the step response test carried out when the systems run normally under the normal running state of the generator set multivariable system, the identification process is simple, the anti-interference capability is high, and the identification precision is high.

The invention discloses a multi-input-multi-output aircraft equivalent stability margin robustness determining method for solving the technical problem that the existing aircraft stability margin determining method is complicated in determining a noise-containing multi-input-multi-output system. The technical scheme adopted by the invention is as follows: determining an open loop transfer function matrix of an uncertain multi-loop system; serially connecting a phase angle with gain and lag to the open loop transfer function matrix of the system; carrying out eigen decomposition on the frequency characteristic matrix of the open loop transfer function of the system; and obtaining a multi-loop stability margin analysis scalar equation by adopting matrix equivalence transformation. Therefore, the phase margin and amplitude margin of the whole loop can be analyzed conveniently.

A quantitative adjusting method includes designing expected response transfer function form and its dynamic demodulation factor form for two distributed control closed loops according to transfer function matrix model, deriving out two ideal expection distributed closed-loop controllers form, obtaining realization form of rational approximation by expansion series of Maclaurin and taking the first two items of expansion series to form distributed PI controller and taking the first three to form PID controller.

The invention provides a multi-degree of freedom micro-vibrating environment simulating method. The method includes the following steps: forecasting micro-vibrating environment conditions; identifyinga multiple-input-multiple-output system transfer function matrix; and conducting multi-degree of freedom micro-vibrating signal simulation control. The method herein conducts closed-loop control on the multiple-input-multiple-output system based on a multi-degree of freedom reference signal, the transfer function of the system and a multi-degree of freedom response signal that are configured, drives a micro-vibrating excitation system to move, and simulates the multi-degree of freedom micro-vibrating environment. According to the invention, the method herein has excellent universality and high efficiency, and better addresses the technical problems of micro-vibrating tests.

An experimental modal analysis method based on the reduced-basis method comprises the following steps: (1), organizing the preparation for experimental model analysis; (2), collecting dynamic signals, and utilizing LabVIEW imaging software to preprocess the signals in order to obtain a frequency response input-output transfer function matrix; (3), realizing the reduced-basis method in a LabVIEW-embedded Matlab program in order to obtain modal parameters including extreme points and modal participation factors; (4), setting up a stabilization diagram and evaluating the mode of vibration; (5), verifying the mode and comparing the result with other arithmetic methods, correcting the parameters of the reduced-basis method to re-calculate the modal parameters in the case that the result comparison is inconsistent with the requirement, and proceeding to the next step in the case that the result comparison is consistent with the requirement; and (6), making the animation of the mode and finalizing the design of the system. In order to scale down the degree of freedom, the invention projects a large-scale matrix to a small-scale matrix, thereby greatly accelerating calculation reducing experiment intensity and time, greatly improving experimental efficiency and greatly enhancing experiment accuracy.

The invention relates to a feedforward control method for voltage transient compensation of a point of common coupling (PCC) of a common load and a system. The method comprises the steps of collectingthe total current of the common load from the PCC of the common load to serve as a disturbance signal, and synchronously transmitting the disturbance signal to each inverter; deriving a transfer function matrix taking the disturbance quantity as input and the residual quantity as output by establishing a state space model and a state observer of a control object, and generating a residual value of the inverters through the transfer function matrix; and taking the residual value as an input signal of a feedforward compensator of the inverters to complete feedforward control for the voltage transient compensation of the PCC of the common load of the inverters. According to the invention, the voltage recovery process is significantly accelerated through the fast compensation for disturbance,and the robustness of the system is increased.

The invention discloses a WAMS-based low-frequency oscillation decentralized controller design method considering interaction which can be applied to low-frequency oscillation control of a power system. The method comprises the steps of: acquiring modal information by integrating multiple identification results; identifying controllability and observability by adopting a state subspace model identification method (N4SID), and determining installation positions of controllers and candidate feedback signals; transferring functional matrix definition according to MIMO for identification and solution row by row, calculating a highly-controllable low-interaction control loop combination by utilizing a branch and bound method, and converting a complex multi-controller coordination design problem into a simple decentralized controller independent design problem; designing a PSS for a region pattern by adopting an identification-based pole placement method, and designing the controllers for an interval pattern by adopting a model prediction control method. The good control effects of the two types of independently designed controllers verify effectiveness of the WAMS-based low-frequency oscillation decentralized controller design method. The WAMS-based low-frequency oscillation decentralized controller design method provides a new idea for designing a multi-damping controller based on identification coordination.

The invention discloses a dynamically tuned gyro decoupling servo control circuit which comprises a gyro, two torquers, a controller and a two-input-output decoupler. The controller comprises a two-input control decouplers, two identical integrators and two identical lag differentiation elements, a 2*2-dimensional multi-input-output transmission function matrix is showed in the formula, and decoupling of two linkage circuits can be achieved. Two integration links allow a strapdown inertia system to a II type system, the second-stage integration link can eliminate the errors relates to constant angular speed gradient, and stability precision of the servo circuit system can be increased; the lag differentiation elements can increase dynamic gain of low frequency band of the system, and dynamic errors can be reduced favorably; the output decoupling link is added to the servo control circuit, the linkage problems of two current output values and the angular speed of the servo circuit can be solved, and the output precision of the strapdown inertia system can be increased.

The invention relates to an indoor illumination estimation method based on a BP neural network algorithm, and belongs to the technical field of intelligent algorithms. The method comprises the following steps: S1, analyzing parameters obtained through traditional formula calculation and a sensor to obtain BP neural network input parameters and a training model; S2, based on the light flux transferfunction matrix model, obtaining the required indoor illuminance through LED luminous flux calculation; S3, linearly superposing the illuminance of the n light sources, calculating the illuminance ofthe corresponding point, performing reverse approximation according to a successive approximation rule to obtain the luminous flux of the lamp, and obtaining the illuminance of the calculation point;and S4, calculating the illuminance needing to be compensated by utilizing the illuminance data, predicted by the BP neural network model, of the natural light at a plurality of point locations of the indoor working face. According to the method, under the condition that natural illumination is fully utilized in different seasons, the maximum balance among the three requirements of seeking energyconservation, saving and comfort is met through light supplement.

The invention discloses a composite material structure impact load identification method based on iteration weighting sparsity. The method comprises the steps of acquiring a transfer function matrix between a composite material structure impact excitation position and a response measuring point position; Measuring an impact response signal generated by a to-be-identified impact load applied to thecomposite material structure; Constructing an enhanced sparse regularization model based on an lp norm, solving the sparse regularization model by utilizing an iterative weighting l2 norm method, andidentifying an impact load applied to the composite material structure; The invention further discloses a composite material structure impact load identification device based on iteration weighting sparsity. Compared with a Tikhonov method based on an l2 norm, the method has the advantages that the stability is high, and the amplification of measurement noise in an identification result can be inhibited; Compared with a standard sparse regularization method based on l1 norm, the method has the advantages that the identification precision of the peak force of the impact load can be improved, and the result is more sparse.

The invention discloses a harmonic resonance analysis method based on singular value sensitivity, which relates to the technical field of power system analysis and control, and comprises the followingsteps: S1, obtaining a transfer function matrix between a harmonic observed quantity and a harmonic excitation source according to the structural characteristics of a power grid; S2, performing singular value decomposition on the transfer function matrix obtained in the step S1 within a certain frequency range, and analyzing a harmonic resonance rule of the power grid according to a singular value decomposition result; And S3, selecting analyzed system parameters according to analysis requirements, calculating singular value sensitivity according to the maximum singular value of the resonantfrequency obtained in the step S2 and the left and right singular phasors of the resonant frequency, and screening out parameters with great influence on the resonant intensity of the power grid according to the singular value sensitivity. According to the method, the transfer function matrix between the harmonic observation quantity and the harmonic excitation source is utilized, singular value decomposition is carried out, the harmonic resonance rule of the power grid can be systematically researched from the power grid level, and the harmonic resonance analysis efficiency is improved.

The invention discloses a composite material structure impact load identification method based on enhanced sparsity. The method comprises the steps of obtaining a transfer function matrix between a composite material structure impact excitation position and a response measuring point position; Measuring an impact response signal generated by a to-be-identified impact load applied to the compositematerial structure; And constructing an enhanced sparse regularization model based on the lp norm, solving the enhanced sparse regularization model by utilizing an iterative weighting l1 norm method,and identifying the impact load applied to the composite material structure. The invention also discloses a composite material structure impact load identification device based on enhanced sparsity. Compared with a Tikhonov method based on an l2 norm, the method has the advantages that the stability is high, and the amplification of measurement noise in an identification result can be inhibited; Compared with a standard sparse regularization method based on l1 norm, the method has the advantages that the identification precision of the peak force of the impact load can be improved, and the result is more sparse.