A control device for tuning a servo motor is suggested. The control device comprises a calculation unit configured to determine a current proportional speed gain of the servo motor and to calculate a stabilization time ratio based on a current stabilization time of the servo motor and a target stabilization time, a determination unit configured to select a gain determination process based on the calculated stabilization time ratio, to determine a next proportional speed gain using the selected gain determination process starting from the current proportional speed gain, wherein the calculation unit is further configured to update parameters of the servo motor according to the determined next proportional speed gain, and a control unit configured to generate a control signal for controlling the servo motor for driving a load based on the updated parameters.

An apparatus and methods are provided for a portable mass airflow (MAF) training module configured to simulate an air intake into an internal combustion engine. An in-line blower draws an airflow through an air filter by way of a first air duct and a second air duct. A throttle assembly is coupled between the first air duct and the second air duct. The throttle assembly includes a throttle plate that may be rotated to regulate the airflow. The power output of the in-line blower is variable to simulate the air intake of various sizes of the internal combustion engine. A MAF sensor and a duct velocity sensor are configured to provide airflow information. The portable MAF training module enables a practitioner to select a desired throttle setting and observe a resultant mass airflow through the portable MAF training module that is measured by the MAF sensor.

An apparatus and methods are provided for a portable mass airflow (MAF) training module configured to simulate an air intake into an internal combustion engine. An in-line blower draws an airflow through an air filter by way of a first air duct and a second air duct. A throttle assembly is coupled between the first air duct and the second air duct. The throttle assembly includes a throttle plate that may be rotated to regulate the airflow. The power output of the in-line blower is variable to simulate the air intake of various sizes of the internal combustion engine. A MAF sensor and a duct velocity sensor are configured to provide airflow information. The portable MAF training module enables a practitioner to select a desired throttle setting and observe a resultant mass airflow through the portable MAF training module that is measured by the MAF sensor.

Circuitry and techniques described herein can use a clamp circuit to provide back-drive compensation in applications where a thermoelectric cooler (TEC) device is to be controlled. A back-drive compensation circuit can be used to inhibit or prevent a linear output stage of a TEC control circuit from being forced out of its intended operating range. The clamp circuit can be implemented using a variety of circuit topologies, such as including a comparator arrangement with hysteresis. In another approach, a linear amplifier topology can provide clamping behavior, such as by injecting or sinking a current at the output node or an intermediate node to inhibit or prevent the output node or intermediate node from being driven outside a specified voltage range by an external source.

Circuitry and techniques described herein can use a clamp circuit to provide back-drive compensation in applications where a thermoelectric cooler (TEC) device is to be controlled. A back-drive compensation circuit can be used to inhibit or prevent a linear output stage of a TEC control circuit from being forced out of its intended operating range. The clamp circuit can be implemented using a variety of circuit topologies, such as including a comparator arrangement with hysteresis. In another approach, a linear amplifier topology can provide clamping behavior, such as by injecting or sinking a current at the output node or an intermediate node to inhibit or prevent the output node or intermediate node from being driven outside a specified voltage range by an external source.

A device, system, and method for autonomously feeding livestock animals includes receiving signals from RFID tag readers, determining animals associated with the signals are eligible for feeding, causing a motor to rotate an auger for dispensing an output feed amount, and updating a feed history of the animal. The animals are determined to be eligible for feeding based on a feed history associated with the RFID tag and a feed schedule or a feed routine.

A device, system, and method for autonomously feeding livestock animals includes receiving signals from RFID tag readers, determining animals associated with the signals are eligible for feeding, causing a motor to rotate an auger for dispensing an output feed amount, and updating a feed history of the animal. The animals are determined to be eligible for feeding based on a feed history associated with the RFID tag and a feed schedule or a feed routine.

A control method for carpet drift in robot motion, a chip, and a cleaning robot are disclosed. The control method includes: performing fusion calculation on a current position coordinate of the robot according to data sensed by a sensor every first preset time, calculating amount of drift, relative to a preset direction, of the robot, according to a relative position relationship between a current position and an initial position of the robot, and accumulating to obtain a drift statistical value; and calculating the number of acquisitions of the position coordinate within a second preset time, averaging to obtain a drift average value, determining a state of the robot deviating from the preset direction according to the drift average value, and setting a corresponding Proportion Integration Differentiation (PID) proportionality coefficient to synchronously adjust speeds of left and right drive wheels of the robot while reducing a deviation angle of the robot.

A control method for carpet drift in robot motion, a chip, and a cleaning robot are disclosed. The control method includes: performing fusion calculation on a current position coordinate of the robot according to data sensed by a sensor every first preset time, calculating amount of drift, relative to a preset direction, of the robot, according to a relative position relationship between a current position and an initial position of the robot, and accumulating to obtain a drift statistical value; and calculating the number of acquisitions of the position coordinate within a second preset time, averaging to obtain a drift average value, determining a state of the robot deviating from the preset direction according to the drift average value, and setting a corresponding Proportion Integration Differentiation (PID) proportionality coefficient to synchronously adjust speeds of left and right drive wheels of the robot while reducing a deviation angle of the robot.

A sensibility meter detects biometric information relating to an operator corresponding to an output from a target appliance, and determines a comfort level of the operator based on the biometric information. A first control unit determines a second target value relating to the output based on a difference between a first target value relating to the comfort level and the comfort level. A second control unit determines a control input to the target appliance based on a difference between the second target value and the output. A δ setting unit performs weighting corresponding to an operation level of the operator, for an operation input to the target appliance by the operator, and for the control input. An adder adds the weighted operation input and control input, and inputs the resultant to the target appliance.