34 results about "Auto tuning" patented technology

The invention relates to the technical field of injection molding machine temperature control, and particularly discloses a real-time temperature control method applied to an injection molding machine, which uses a PID (Proportion Integration Differentiation) controller to carry out temperature control in an injection molding process. Firstly, a target temperature value is set, an automatic tuning algorithm is used for determining a preliminary PI D parameter of a real-time temperature PID controller, then an artificial intelligence technology based on deep learning is used for carrying out time sequence analysis on real-time temperature data in the injection molding process so as to reveal the effectiveness of the current PID parameter on temperature control, and the accuracy of temperature control is improved. Therefore, the self-adaptive optimization of the initial PID parameters is carried out based on the time sequence change mode of the temperature, so that the accuracy and the response speed of temperature control are improved. According to the invention, the temperature change can be quickly responded, and more efficient and more stable temperature management is realized, so that overshoot and oscillation phenomena are reduced, and more stable and accurate temperature control in the injection molding process is ensured.

The invention discloses a microwave cavity filter system with an automatic tuning function, relates to the field of cavity filters, and realizes self-adaptive control of signal frequency fluctuation through a multi-level tuning strategy. The system comprises a detection module, a control module and first, second and third tuning units. The detection module monitors quality indexes such as frequency fluctuation and signal-to-noise ratio of the signals in real time and generates fluctuation information; and the control module selects the corresponding tuning unit according to the fluctuation amplitude based on the fluctuation information. The first tuning unit performs small-amplitude compensation, and the second tuning unit expands the bandwidth to accommodate medium fluctuation; and when the signal frequency deviation trend is obvious or the signal-to-noise ratio is lower than a threshold value, the system synchronously adjusts the center frequency and the bandwidth by using the third tuning unit, and resets the frequency interval. In addition, the system sets tuning parameters in advance through trend prediction, dynamically monitors the signal-to-noise ratio in the bandwidth adjustment process, and gradually shrinks the bandwidth to ensure the signal quality.

The present disclosure relates to an improved digital control valve (DCV) system (100), featuring a piston-type design with a stepped piston and dual piston seals for precise flow rate control and enhanced batch accuracy under fluctuating upstream pressure (P1) conditions The piston (302) is hydraulically balanced to ensure smooth operation and reliable batch filling. The disclosure provides an Auto Tune Valve (ATV) (200) in place of conventional manually operated needle valves, offering tamper-proof, automated tuning based on line pressure by dynamically varying internal orifice size, thereby eliminating manual adjustment efforts. The improved DCV system is designed to addresses the challenge of closing the valve during electrical or mechanical failures, ensuring safety and environmental protection during batch filling operations. Two distinct dampening mechanisms are employed to mitigate sudden ramping up or down during pressure fluctuations, reducing vibration, noise, and stress on components, thereby enhancing reliability and service life. The improved DCV system ensures efficient, automated operation under varying conditions, delivering consistent safety and performance.

A static auto-tuning system and method for controlling operation of a motor in a system. A speed reference signal is generated resulting in a speed response of the motor. Closed-loop feedback magnifies the rotating friction effect to an observable level. Inertia and rotating friction coefficient values of the system are estimated based on the speed frequency response and a virtual damping coefficient. A fixed low frequency speed signal may result in a first frequency response function for determining virtual damping, and a variable frequency excitation signal may result in a second frequency response function for determining the inertia and rotating friction characteristics. Closed-loop gains are determined based on these characteristics. The excitation signal may be sampled and a peak value in each interval may be identified and stored to produce an envelope of peak values for determining the gain response. Operation of the motor is controlled using the determined gains.

In automatic tuning of a servo amplifier for servo control of a motor, the automatic tuning can be performed regardless of the size of a load connected to the motor, and control parameters of a position command filter can also be optimized. Before tuning of a gain of the servo amplifier is performed, the following processes are executed: a process (103) of estimating an inertia ratio related to the motor, based on a response of the motor when the motor is driven at a speed slower than a speed used at the time of the gain tuning; and an initial value decision process (104) of deciding initial values of the control parameters of the position command filter at the time of the automatic tuning, based on the inertia ratio.

A method for auto-tuning an optical transponder that is coupled to an optical terminal comprises: cycling through wavelengths in sequence by, for each wavelength: modulating the wavelength to convey a wavelength identifier of the wavelength, to produce a modulated wavelength that conveys the wavelength identifier; transmitting the modulated wavelength from the optical terminal through an optical demultiplexer that is configured to pass wavelengths to output ports of the optical demultiplexer; waiting to detect a response wavelength, transmitted by the optical transponder, which matches the wavelength; and determining, based on whether the response wavelength is detected, whether to repeat cycling using a next wavelength because the optical transponder is not tuned or to stop cycling because the optical transponder is tuned.

The embodiment of the invention relates to a context-aware and stateless deep learning auto-tuning framework. Systems and methods are provided for improving auto-tuning procedures using stateless processing with a remote key value store. For example, the system may implement task launchers, schedulers, and agents to launch, schedule, and execute decomposed auto-tuning phases, respectively. Scheduling policies implemented by the scheduler may perform operations beyond simple scheduling policies (e.g., FIFO-based scheduling policies), which may result in high queuing latency. By utilizing auto-tuning domain-specific knowledge, queuing latency is reduced and resource utilization is improved compared to conventional systems.

Techniques for auto tuning keepalive packets intervals to an optimal interval are described. A remote secure session between a client device and a server over a network is established. A determination is made to identify an optimal keepalive interval for sending packets to keep the remote secure session alive over the network, the optimal keepalive interval defining an amount of time between sending of packets that keep a connection open through middleboxes in the network. Keepalive test probes are transmitted by the client device and to the server at different time intervals. An optimal keepalive interval is determined based at least in part on the keepalive test probes transmitted at the different intervals. The client device transmits information indicating the optimal keepalive interval to the server. Finally, the client device transmits keepalive packets according to the optimal keepalive interval.

Methods and apparatus for auto tuning for tester DUT Power Supply (DPS). The DPS includes one or more voltage rail blocks that employ DUT voltage feedback and output a voltage rail that is supplied to a DUT on a load board. The voltage rail block includes an amplifier coupled to compensator circuitry, which in turn is coupled to an output control and driver block that outputs a voltage rail. I / O interfaces are provided to receive a voltage signal corresponding to the voltage rail at the DUT input, where the analog voltage signal is used as a DUT voltage feedback and a digitized voltage signal is used by a DPS controller that provides loop compensation parameters to adjust capacitor and resistors and gain in the compensator circuitry to tune the voltage rail to meet signal characteristics defined by an objective function such as voltage rise time, voltage overshoot, voltage undershoots, and settling time.

The present invention discloses a method for automatically tuning the performance parameters of a servo motor and related equipment. The method comprises: monitoring the operating state of the servo motor to obtain position difference data of the servo motor; extracting the performance parameters of the servo motor to be tuned based on the position difference data, and inputting the performance parameters to be tuned into an automatic adjustment (AAT) model; setting safe movement parameters in the AAT model; automatically identifying the operating state based on the AAT model to obtain an automatic identification result of the operating state; performing feedforward identification analysis based on the automatic identification result of the operating state to obtain a feedforward value; tuning the performance parameters to be tuned based on the feedforward value to obtain the performance parameters of the servo motor after tuning. The present invention effectively reduces the difficulty of debugging the servo performance parameters of the servo motor, optimizes debugging accuracy, improves debugging efficiency, and thereby improves the overall operating performance of the servo motor.

An optical micro-ring modulator (MRM) requires temperature tracking and locking such that the resonance notches / peaks of the MRM device are actively thermally shifted to coincide with the narrow input optical wavelength. Accordingly, it would be beneficial to auto tune an MRM device so that it functions as a high-speed modulator and accommodates initial process variations in manufacturing, the random thermal heating and cooling of the environment, and drift of the input laser line wavelength. The control system generates an error signal by comparing complementary tapped optical signals from the through and drop output waveguides of the MRM device where the controller is tuned to the high-speed electrical modulation of the device along with the slow-speed thermal transient behaviour of the MRM device. The controller can operate using balanced electrical modulation code, non-balanced modulation code and tuned to optimize for optical amplitude modulation (OMA) and extinction ratio.

Methods and systems for automatically tuning control parameters for operations of a classification yard. In embodiments, production predictions for car events at a segment is made using current tuning coefficients. Analysis on real-world measurements associated with the car events is used to obtain a set of candidate tuning coefficients. Backoffice predictions for the car events are made using the candidate tuning coefficients. The production predictions and the backoffice predictions are compared against the real-world measurements. If the backoffice predictions are found to better approximate the real-world measurements at the segment or device, the candidate tuning coefficients are accepted and the current tuning coefficients for the segment or device are replaced by the candidate tuning coefficients. In this manner, the present disclosure provides a system with functionality that allows the system to automatically adjust the tuning coefficients to real-world conditions.

A system and method for automatically tuning / configuring a power system stabilizer (PSS) in a digital excitation control system of a power system having an automatic voltage regulator (AVR), comprising providing a control input to the AVR according to the following steps: generating a set of tuned PSS lead-lag phase compensation time constants based on a received generated terminal voltage, generating an uncompensated frequency response based on the received set of generated terminal voltages and using particle swarm optimization (PSO) based on the generated uncompensated frequency response, generating a tuned PSS gain value based on a determined open-loop frequency response of the power system, determining a PSS gain margin, and determining a tuned PSS gain; and transmitting the determined set of tuning phase compensation time constants and the determined tuning PSS gain value to a control interface of the PSS.

The PI compensator generates a manipulated variable based on an error between a detected value of a motor controlled variable and a reference value of the controlled variable. An automatic tuning circuit optimizes the parameters of the PI compensator. An integrator integrates the error. A first coefficient circuit multiplies the output of the integrator by a first coefficient B. An adder adds the output of the first coefficient circuit and the error. A second coefficient circuit multiplies the output of the adder by a second coefficient A. The automatic tuning circuit varies the first coefficient B and adjusts it to a value where the phase difference between the error and the controlled variable becomes 90 degrees.

A device includes a high-pass filter circuit configured to receive a drain-source voltage from a drain node of a synchronous rectifier switch at a secondary side of a power converter and generate a filtered drain-source voltage using the received drain-source voltage. A current comparison circuit of the device is configured to receive a current indicative of a current flowing through the synchronous rectifier switch and generate a current comparison signal using the received current. An auto-tuning controller of the device is configured to turn on the synchronous rectifier switch upon determining that a body diode of the synchronous rectifier switch is conducting, initiate an auto-tuning delay upon determining that the current flowing through the synchronous rectifier switch has changed direction, turn off the synchronous rectifier switch upon expiration of the auto-tuning delay, and update the duration of the auto-tuning delay based on the filtered drain-source voltage during a detection time window.

The invention discloses a component tuning method and device. The method comprises the following steps: determining an application model corresponding to a target component, and extracting an expected state and a current state of the target component from the application model; under the condition that the expected state is inconsistent with the current state, generating a tuning operation according to the expected state and the current state, and mapping the tuning operation into at least one tuning step; and constructing a tuning workflow based on the tuning step, and executing the tuning workflow by utilizing a runtime engine. According to the scheme, accurate calibration and dynamic optimization of the component state are realized through real-time analysis and automatic tuning of the component state, so that the application stability and the operation efficiency are improved, the manual intervention and debugging cost are reduced, and flexible expansion and parallel tuning of multiple components and multiple environments are supported.

The present invention relates to a standstill auto-tuning method for a motor, comprising the steps of: a) calculating a prediction error by using a voltage command, current input to the motor, and a computed coefficient vector; b) computing a coefficient vector of a next cycle by using the calculated prediction error; c) computing each of the dead time compensation time and motor parameters by using the coefficient vector acquired in step b); and d) calculating a compensation voltage command by applying the computed dead time compensation time to the voltage command.

A controller for a linear drive system includes compensation of a reference signal as the mover approaches a commanded position along a track. The compensation value is added once as the vehicle approaches the commanded position, adjusting the reference signal. This compensation allows the controller to resolve to a zero reference signal at the same time the vehicle reaches the commanded position. The amount of compensation required may be automatically determined for a particular vehicle to reduce or eliminate overshoot as the vehicle approaches a station. Initially, no compensation is provided and the controller monitors settling error as the vehicle approaches a station. The compensation value is then incremented and the controller again monitors settling error as the vehicle approaches a station. The controller compares the new settling error to the prior settling error and adjusts the compensation value accordingly.

A method for calculating PID parameters of a fluid system including a motor driving a pump, a compressor or a fan, including further a feedback sensor providing a feedback signal on the system and a PID regulation controlling the motor speed. The method includes:after an initial approximation of the fluid system by a first order transfer function with delay where three parameters of the transfer function of the process to be identified are: K Static gain, θ Delay, τ Time constant,one or more sequences of:a—bypassing the PID regulation and implementing the following processes:a periodic relay process providing a first point (ω−180; G−180) at −180° of phase named critical point,a periodic relay with integration process providing a second point (ω−90; G−90) at −90° of phase and,a step injection providing a third point G0 at ω=0° of phase and at null frequency,b—resolving the relevant equations in equation systems according to the points obtained through the processes to calculate the transfer function parameters available amongK=G0,τ=1ω-1⁢8⁢0⁢(KG-1⁢8⁢0)2-1,θ=(tan -1⁢(ω-1⁢8⁢0·τ)+π)·1ω-1⁢8⁢0c—applying the transfer function parameters obtained to calculate PID parameters for the system regulation{Kp=τK·(λ+θ)Ti=τTd=θ

Methods and systems for automatically tuning control parameters for operations of a classification yard. In embodiments, production predictions for car events at a segment is made using current tuning coefficients. Analysis on real-world measurements associated with the car events is used to obtain a set of candidate tuning coefficients. Backoffice predictions for the car events are made using the candidate tuning coefficients. The production predictions and the backoffice predictions are compared against the real-world measurements. If the backoffice predictions are found to better approximate the real-world measurements at the segment or device, the candidate tuning coefficients are accepted and the current tuning coefficients for the segment or device are replaced by the candidate tuning coefficients. In this manner, the present disclosure provides a system with functionality that allows the system to automatically adjust the tuning coefficients to real-world conditions.

Technologies for source degradation and auto-tuning of cameras are disclosed. In one embodiment, a system includes a compute node connected to one or more cameras. The cameras can monitor an environment, such as a manufacturing process in a factory. The compute node may use image processing, such as a machine-learning-based algorithm, to monitor processes. A system integrator may adjust parameters of the camera and / or the algorithm, such as focus, gain, contrast, white balance, etc. The compute node can monitor the system integrator and learn how to adjust parameters in order to improve key performance indicators (KPIs) of the monitored process. In a production environment, the compute node may then automatically adjust parameters of the camera and / or analysis algorithm based on the actions of the system integrator in order to improve performance of the analysis algorithm.

The present invention relates to an auto-tuning device for an electro-hydraulic converter and a servo motor for controlling a major valve in a power plant turbine, the auto-tuning device capable of automatically providing an electric command signal to the electro-hydraulic converter and determining the normal or abnormal operation state of the electro-hydraulic converter and the servo motor in response to the electric command signal.

The invention discloses a servo motor performance parameter automatic setting method and related equipment, and the method comprises the steps: monitoring the operation state of a servo motor, and obtaining the position difference data of the servo motor; extracting to-be-set performance parameters of the servo motor according to the position difference data, and inputting the to-be-set performance parameters into an AAT automatic tuning model; setting a safe movement parameter in the AAT automatic tuning model; automatically identifying the running state based on the AAT automatic tuning model to obtain an automatic identification result of the running state; feedforward identification analysis is carried out based on the operation state automatic identification result, and a feedforward value is obtained; and setting the to-be-set performance parameter based on the feed-forward value, and obtaining the set performance parameter of the servo motor. According to the invention, the debugging difficulty of the servo performance parameters of the servo motor is effectively reduced, the debugging accuracy is optimized, the debugging efficiency is improved, and the overall operation performance of the servo motor is further improved.

Embodiments of the present invention provide an adaptive PID (Proportional-Integral-Derivative) auto-tuning technique that enhances the efficiency and accuracy of tuning thermal control systems for device testing. The disclosed techniques can automatically adjust PID controller values to optimize thermal conditions for devices under test (DUTs) utilizing real-time feedback from temperature probes such as resistance temperature detector (RTD), thermocouple, thermistor and / or electrical semiconductor device such as thermal diode and / or digital temperature bus to temperature sensors. The system supports parallel adjustments across multiple DUT sites, significantly improving tuning throughput. This adaptive approach streamlines the tuning process by minimizing manual intervention and stores the refined PID settings in memory for each test site, ensuring consistent and precise temperature control during testing operations.

In at least one embodiment, an audio system is provided. The audio system includes one or more microphones and at least one controller. The one or more microphones are located around the vehicle to provide captured audio input signals. The at least one controller is programmed to receive the captured audio input signal and to receive a first signal indicative of a vehicle speed of the vehicle. The at least one controller is further programmed to determine an amount of attenuation based on the vehicle speed of the vehicle and attenuate the captured audio input signal based on the amount of attenuation to increase a sharpness of the captured audio input signal.

The motor control device and the motor control method of the present application shorten the automatic tuning process. The amplitude and the vibration period of the vibration component included in the torque command value are obtained using a servo amplifier (100) that adjusts the gain of a motor (300), and in the case where the amplitude and the vibration period satisfy certain conditions, it is determined that the notch filter (141 and / or 142) needs to be set, and the notch frequency of the notch filter (141 and / or 142) is set to the period of the vibration component immediately before the determination. Thus, without extracting the vibration by Fourier series expansion and without obtaining the amount of data required for frequency analysis, the automatic tuning process can be shortened.

An autotuner control system may be implemented to monitor and control operation of a drilling system and one or more drilling parameters during drilling operations. The control system may be a proportional integral derivative (PID) controller or a proportional integral (PI) controller, which can run iteratively during drilling operations to adjust drilling parameters and / or the controller. The PI or PID controller may apply adaptive filters to update and adjust one or more controller parameters (PID or PI), to autotune such parameters and may incorporate a stability constraint filter to constrain said adaptive filter, such as to reduce the impact of dead time and process time delays and adjust drilling parameters to match the drilling goals.