68 results about "Adaptive feedback control" patented technology

A fabrication process produces markers for a magnetomechanical electronic article surveillance system. The marker includes a magnetomechanical element comprising one or more resonator strips of magnetostrictive amorphous metal alloy; a housing having a cavity sized and shaped to accommodate the resonator strips for free mechanical vibration therewithin; and a non-deactivatable bias magnet adapted to magnetically bias the magnetomechanical element. The process employs adaptive control of the cut length of the resonator strips, correction of the length being based on deviation of the actual marker resonant frequency from a preselected, target marker frequency. Use of adaptive, feedback control advantageously results in a much tighter distribution of actual resonant frequencies. Also provided is a web-fed press for continuously producing such markers with adaptive control of the resonator strip length.

A fabrication process produces markers for a magnetomechanical electronic article surveillance system. The marker includes a magnetomechanical element comprising one or more resonator strips of magnetostrictive amorphous metal alloy; a housing having a cavity sized and shaped to accommodate the resonator strips for free mechanical vibration therewithin; and a non-deactivatable bias magnet adapted to magnetically bias the magnetomechanical element. The process employs adaptive control of the cut length of the resonator strips, correction of the length being based on deviation of the actual marker resonant frequency from a preselected, target marker frequency. Use of adaptive, feedback control advantageously results in a much tighter distribution of actual resonant frequencies. Also provided is a web-fed press for continuously producing such markers with adaptive control of the resonator strip length.

A computer-implemented method is used to correct deviations between a predicted gas excess air ratio and a calculated excess air ratio in a dual fuel engine or other gas fueled compression ignition engine. The method includes determining gas excess air ratio for the engine based at least in part on at least one detected current operating parameter and calculating a predicted exhaust gas oxygen concentration engine based on the predicted gas excess air ratio. A time based filtered predicted exhaust gas oxygen concentration value may then be calculated and compared to a time-based filtered measured exhaust gas oxygen concentration value. The resultant oxygen concentration deviation value may be used to generate a corrected predicted gas excess air ratio.

A first Internet of Things (IoT) sensor network remote sensor station and network comprising a sensor network parameter processing, warning and control system with electronic, specifically programmed, specialized sensor network communication computer machine including electronic artificial intelligence expert system processing with transceivers and/or electrical or optical connections for communicating with IoT sensors and other different followed or following IoT remote sensor stations. Monitor units collect information from and communicate with remote sensor stations and further analyze collected information with artificial intelligence expert systems processing comprising expert input with multiple propositional expert system instructions defining multiple ranges of sensor variables. Further artificial intelligence expert system decision making provides Multiple-Input/Multiple-Output (MIMO) expert system operation with dispatch of electronic and/or optical communication warnings and/or corrective action control signals addressing MIMO urgent and composite degrees of concerns. Further artificial intelligence expert system comprises one or more of expert system processing, speech recognition, natural language processing, image analysis, fuzzy logic and/or neural network analysis. In some embodiments, hierarchical expert or fuzzy systems, neural network and/or adaptive feedback control implementation are disclosed resulting in substantial simplification of computational requirements.

A fabrication process produces markers for a magnetomechanical electronic article surveillance system. The marker includes a magnetomechanical element comprising one or more resonator strips of magnetostrictive amorphous metal alloy; a housing having a cavity sized and shaped to accommodate the resonator strips for free mechanical vibration therewithin; and a bias magnet to magnetically bias the magnetomechanical element. The process employs adaptive control of the cut length of the resonator strips, correction of the length being based on the deviation of the actual marker resonant frequency from a preselected, target marker frequency. Use of adaptive, feedback control advantageously results in a much tighter distribution of actual resonant frequencies. Also provided is a web-fed press for continuously producing such markers with adaptive control of the resonator strip length.

An adaptive feed-back controlled system for regulating a physiological function of a heart in which a hemodynamic sensor continuously monitors the physiological performance of the heart. Three implanted electrodes sense and pace the right atrial, right ventricle and left ventricle. A learning neural network module receives and processes information for the electrodes (18) and sensors (22), and is controlled by a deterministic module for limiting said learning module. A pulse generator (16), is also controlled by the deterministic module, and stimulates both the heart and the vagus (20).

The invention provides an active vibration suppression device applied to vibration suppression of a wind tunnel model. The active vibration suppression device comprises a three-directional acceleration sensor, an active vibration suppression module internally provided with a piezoelectric ceramic actuator and a control cabinet provided with control system software; the three-directional acceleration sensor is arranged in a test module and measures first two-order low-frequency vibration signals, generated due to wind-load excitation, of a test model system and outputs the signals to the control cabinet; the control cabinet conducts discrete sampling on the signals, then calculates and generates a control signal through a self-adaptive feedback control algorithm and outputs the control signal to drive the piezoelectric ceramic actuator in the active vibration suppression module, and by controlling the axial displacement of a pitching and yawing piezoelectric ceramic component, the testmodule generates pitching vibration and yawing vibration or coupled vibration of the pitching vibration and the yawing vibration separately. The active vibration suppression device can achieve decoupling control over first two-order modal vibration, the low-frequency vibration of the wind tunnel test model due to wind-load excitation is effectively reduced, and the device not only is effective forlow-frequency line spectra but also has a good control effect on broadband random excitation.

The invention provides an electromagnetic drive positioning control method which comprises a self adaptive feedback control process and / or a self adaptive feedforward control process. The self adaptive feedback control process mainly comprises model on-line identification, output predication and input current control, through continuous identification error, the minimum identification error of a controlled system is obtained, and one cycle of closed loop control is achieved; the self adaptive feedforward control process mainly includes the steps that control current of the controlled system is given to a feedforward control model, actual output displacement of the controlled system is obtained, and one cycle of open-loop control is achieved. The invention further provides application of the electromagnetic drive positioning control method. By means of the method, under the situation of unknown or time-varying mathematical model of the controlled system, the controlled system is automatically adjusted or operated towards an optical or a sub-optical state, and real-time performance, precision and efficiency of drive of the controlled system under the time-varying interference are improved.

The invention provides a precise dispensing controller and an adhesive dispensing control method thereof. The precise dispensing controller comprises a dispensing controller body, a pressure reducingvalve, a first air pressure sensor, a quick exhaust valve and a control module; the dispensing controller body is provided with a working air source input interface, a dispensing air pressure output interface and a rapid exhaust output interface, the working air source input interface is used for being connected with an air source, the dispensing air pressure output interface is used for being connected with the rubber barrel; the pressure reducing valve is connected between the air inlet of the discharging valve and the working air source input connector, and the gas outlet of the discharge valve is connected with the dispensing air pressure output interface; and the first air pressure sensor can collect the real-time air pressure of a pipeline between an air outlet of the discharge valveand the dispensing air pressure output interface. According to the precise dispensing controller disclose, the self-adaptive adjustment of dispensing parameters and the alarm function of insufficientresidual glue liquid amount can be realized, and the self-adaptive feedback control of the return air suction pressure is realized.

A tension-force synchronous controller of a coiler for a square double-needle power lithium ion battery comprises an MCU arranged at the center position, and a memory, a jump wire port, a digital quantity input terminal and an encoder input terminal which are all arranged at the left side of MCU, and a communication indicating lamp, an ISP download port, a digital quantity output terminal and a COM communication port which are all arranged at the right side of MCU, and a power supply module, a crystal oscillation circuit and a reset circuit which are successively arranged before MCU, and a two-way rolling motor controller and a two-way unreeling motor controller which are arranged at the rear of MCU; and the digital quantity input terminal, the encoder input terminal, the digital quantity output terminal, the COM communication port, the two-way rolling motor controller and the two-way unreeling motor controller are connected with MCU respectively via optical couplers. By analyzing the movement characteristics in the reeling process of a reeling needle, an optimum movement track calculating formula of the reeling process of the reeling needle is obtained, controlling on a reeling-needle reeling motor employs a manner of DMA (Direct Memory Access) plus PWM (Pulse Width Modulation), the diameter of a unreeled membrane coil can be identified online, an unreeling motor employs an algorithm of feedforward plus adaptive feedback control and is capable of independently finishing synchronous tension-force control on the battery in the coiling process.

A multi-stage fabrication process produces markers for a magnetomechanical electronic article surveillance system. The marker includes a magnetomechanical element comprising one or more resonator strips of magnetostrictive amorphous metal alloy housing a cavity sized and shaped to accommodate the resonator strips for free mechanical vibration therewithin; and a bias magnet to magnetically bias the magnetomechanical element. A web of cavity stock is independently produced on a separate machine. The web of cavity stock is thereafter integrated with a feed of resonator strip to facilitate production of a magneto-mechanical marker element. The process employs adaptive control of the cut length of the resonator strips, correction of the length being based on the deviation of the actual marker resonant frequency from a preselected, target marker frequency. Use of adaptive, feedback control advantageously results in a much tighter distribution of actual resonant frequencies. Also provided is a web-fed press for producing such markers with adaptive control of the resonator strip length.

The invention provides a dynamic feedforward compensation based improved generalized predication self-adaptive control method. Application of the method includes the following steps: identifying a real-time mathematic model A of a controlled object according to a controlled autoregression moving average model online; applying the real-time mathematic model A to a feedforward controller, and performing dynamic feedforward compensation by combining the improved generalized predication self-adaptive control method; applying the real-time mathematic model A to a feedback controller, and performing self-adaptive feedback control by combining the improved generalized predication self-adaptive control method; finally, realizing feedforward and feedback combined control of the controlled object. The improved generalized predication self-adaptive control method includes performing dynamic feedforward compensation preparation, multi-step predication and control quantity solution on the basis of generalized predication control. The invention further provides the application of the method in single-degree-of-freedom magnetostriction drivers and multiple-degree-of-freedom precise coupling driving platforms. The dynamic feedforward compensation based improved generalized predication self-adaptive control method and the application thereof have the advantage of improvement in control accuracy of the magnetostriction drivers and control speed of the control method.

An adaptive feedback control method of a field sequential color display includes converting gray-scale values of a three primary color field of an input image into gray-scale values of a new three primary color field and a dominated color field (D-field); performing sampling; performing a pixel by pixel sum operation for each separated color through color gamut conversion to obtain a color difference sum; performing a feedback control at a bit precision to obtain a minimum color difference sum; and then performing a liquid crystal/backlight synchronization step of synchronizing a liquid crystal signal and a backlight gray-scale value of the input image; or dividing the input image into a plurality of blocks; performing feedback control operations; obtaining a minimum sum in each block to serve as an optical backlight value, thereby reducing a CBU phenomenon, and minimizing or controlling the generated CBUs to reduce the operation loads.

The invention discloses a self-adaptive feedback control method for a basic safety message (Basic Save Message, BSM) in a Cooperative Vehicle Safety System (CVSSs). The self-adaptive feedback controlmethod comprises the following steps of capturing a channel competition condition in real time by using a traffic condition sensing model, hiding the influence of a terminal and a channel error rate,and calculating an IDR (Information Discovery Rate) to provide a basis for a prediction model; giving an ideal network performance by using a prediction model, regarding an ideal network state as to acquire the maximum IDR, and using the ideal IDR as a reference to guide BSM rate adaptive feedback control; and converging an error between the ideal IDR and the actual IDR to zero by using a feedbackrate control model. Compared with the prior art, the method has the advantages that factors having adverse effects on the IDR are fully considered, the real-time vehicle tracking precision can be improved in different Internet of Vehicles environments and network environments, and the robustness of the CVSSs under different interference influences is improved.

The present invention relates to an automatic detection device for rail vehicles used in railway traffic and mining metallurgical industry, in particular, an electric eddy current non-contact proximity rail axometer. It is characterized by that it adopts half-ring opened magnetic body whose exterior is winded with cotton covered wire and parallelly-connected sensor formed from capacitor; and makes the adaptive feedback control circuit be used in active oscillating circuit to make oscillation intensity control to raise detection sensitivity, enhance power of rail axometer for inhibiting interference factors of temperature, dampness and element and device parameter drift, etc. and raise the detection rate of rail axometer self body.

The invention discloses an atomic interference gravimeter vibration noise and wavefront distortion error double compensation method and device, and the method comprises the steps: S1, static laser wavefront distortion measurement: carrying out the static laser wavefront distortion measurement of an atomic interference gravimeter system, S2, dynamic vibration noise and laser wavefront distortion measurement: measuring a vibration signal S (x, y, z, t) of a Raman light reflector, carrying out filtering processing, and measuring the wavefront distortion distribution of a pair of Raman light acting with atoms in a static state; and S3, vibration noise and laser wavefront distortion real-time compensation: driving the deformable mirror to deform by using an adaptive PID feedback control algorithm, and compensating the vibration noise and the laser wavefront distortion in real time. The device is used for implementing the method. The method has the advantages of being capable of improving measurement sensitivity, precision, stability, portability and the like.

The invention discloses a self-adaptive feedback control device which is applied to a laser wind finding radar detector, and comprises a photoelectric detector, which is used for converting an opticalsignal detected by the laser wind finding radar detector into an electric signal; an analog signal processing module which is used for converting the electric signal into a differential pulse signal;a high-speed AD conversion module which is used for continuously sampling the differential pulse signal and converting the differential pulse signal into a digital signal; a digital signal processingmodule which is used for calculating the current signal-to-noise ratio of the photoelectric detector according to the digital signal, comparing the current signal-to-noise ratio with a preset optimalsignal-to-noise ratio and generating a feedback control quantity according to a comparison result; and a DAC feedback module which is used for adjusting the working bias voltage of the photoelectricdetector according to the feedback control quantity. The self-adaptive feedback control device provided by the invention can perform self-adaptive feedback control on the working bias voltage of the photoelectric detector, so that the laser wind finding radar detector works in an optimal signal-to-noise ratio state, and the detection distance and the detection precision of the laser wind finding radar are improved.

The invention discloses a permanent magnet synchronous motor finite time self-adaptive compound control method and a permanent magnet synchronous motor finite time self-adaptive compound control system. In order to improve the rotating speed tracking performance and the anti-interference and anti-parameter perturbation capability of a permanent magnet synchronous motor control system, the invention provides a permanent magnet synchronous motor finite time self-adaptive compound control method and a permanent magnet synchronous motor finite time self-adaptive compound control system. The system comprises a controlled object, a Park inverse transformation unit, an encoder, a current loop finite time controller, a finite time sliding mode state observer, a finite time adaptive feedback controller, a Park transformation unit, a Clark transformation unit, an SVPWM system and an inverter. According to the invention, a finite time sliding mode state observer is combined with a finite time self-adaptive feedback controller, and finite time control of current loops id and iq is introduced, so that the rotating speed convergence speed of the permanent magnet synchronous motor is increased, the anti-interference and anti-parameter perturbation capabilities are improved, the dynamic stability is improved, and the method has good robustness for motor parameters.

The invention aims to provide an improved structure for a hybrid acoustic quality control system. The structure comprises a self-adaptive feedforward control structure, a self-adaptive feedback control structure and a line spectrum noise cancellation control structure, and sound quality control and a hybrid active noise control system are combined, so that the sound quality of line spectrum noisecan be controlled, and the interference of broadband noise on the system can be cancelled. By improving the synthesis mode of the feedback control structure reference signal in the hybrid active soundquality control system, the influence of updating of the weight coefficients of the feedback control filter and the line spectrum noise offset control filter on updating of the weight coefficients ofthe feedforward control filter can be reduced. According to the improved structure, the updating stability of the weight coefficient of the control filter can be improved, the convergence speed of the control filter is increased, and the noise reduction performance is improved.