16 results about "Auto tuning" patented technology

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.

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.

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

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.

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.

A wireless power transfer (WPT) system is provided to drive multiple resonator coils utilizing one power amplifier. The WPT system may include a power amplifier, a differential 1:N power divider, impedance inversion circuits and multiple resonator coils. The WPT system may further include auto-tuning circuits with sensors that facilitate the efficient driving of the multiple resonator coils. As well, there is provided various 3D shaped coil topologies that are comprised of two or more separate coils. The 3D coil topology designs each provide a particular 3D magnetic field for wireless charging.

The application discloses a compressor control method based on load torque dynamic compensation, comprising the following steps: (1) collecting motor current to calculate electromagnetic torque; (2) using electromagnetic torque, load torque estimated value and motor mechanical constant to estimate motor speed; (3) using motor speed estimated value and motor speed actual value to estimate load torque; (4) compensating compressor torque current through load torque estimated value. The application integrates speed self-adaptive estimation and load torque estimation, automatically tunes frequency component of disturbance load, can accurately estimate load torque fluctuation, and implements compensation on load torque, thereby effectively inhibiting vibration of the compressor system. The application is suitable for compressor torque compensation in a sensorless working mode, does not need to test load torque change characteristic curve, and can still work well after the compressor or load changes, has clear physical meaning and is easy to realize, and has certain universality and high engineering application value.