A motor angle detection and diagnosis apparatus is connected to a drive motor using a resolver. The resolver is configured to output a resolver feedback signal of an electrical angle of the drive motor. An angle sampling and diagnosis system in the motor angle detection and diagnosis apparatus performs two-channel simultaneous sampling on a resolver feedback signal, obtained after adjustment by the resolver feedback processing circuit, separately calculates a first electrical angle and a second electrical angle; diagnoses data obtained after the two-channel sampling of the first electrical angle and the second electrical angle in real time, diagnoses hardware circuits, and controls the motor controller to enter a safe state when a diagnosis result is abnormal. In this solution, sampling is performed by using two sampling channels, so that angle decoding of at least an ASIL C can be implemented.

A method of operation of a computing system includes: transmitting an operational request; receiving an instruction event in response to the operational request; identifying an ordered sequence of the instruction event; loading an event hub with the ordered sequence of the instruction event; and executing the ordered sequence of the instruction event by a functional application including controlling the operation of a device.

A processing system comprises a tool that processes a workpiece composed of a metal member, a motor that rotates the workpiece or the tool, a control unit that controls the motor, and a measurement unit that obtains an electrical quantity of the motor, wherein the control unit changes a rotational speed of the motor based on a difference between a first electrical quantity and a second electrical quantity, the first electrical quantity is an electrical quantity obtained by the measurement unit while the motor rotates before the workpiece is processed, and the second electrical quantity is an electrical quantity obtained by the measurement unit while the workpiece is processed.

A controller for controlling a motor of a closure and/or blind in a vehicle body is configured to determine a reference state signal comprising speed and/or current measurements, repeatedly estimate motor model parameters of the motor, determine an estimated state signal based on an input signal comprising measurements or estimates of a voltage, the estimated motor model parameters, the reference state signal and an error signal, the error signal representing a difference between the reference state signal and the estimated state signal, determine a disturbance observer signal from the error signal, compute a first derivative of the disturbance observer signal at a present moment, and reverse the motor upon determining that the first derivative of the disturbance observer signal exceeds a threshold.

A state machine motor controller (SMMC) interface comprises a plurality of states which defines a unique set of poles/motor phase/phases energized. Digital sensors capture the start of overlap of rotor poles with stator poles. The state change occurs when a rotor pole starts overlapping with a stator pole. The number of states depends on the number of phases and the design of the motor. The SMMC has up to four inputs to accept rotational information from digital sensors and can control motors having up to 16 states. A sequencer is used to keep track of state changes and provides a next state depending on forward/reverse direction setting and braking setting. A counter provides rotational speed based upon the number of clock pulses per time period for a state change. The sequencer checks for a faulty sensor(s) and generates a fault interrupt therefrom.

A gearbox is coupled to a shaft of a motor. The gearbox is configured to be rotated by the motor. An encoder is coupled to the shaft of the motor. The encoder is configured to detect a shaft position. The encoder is configured to produce a position stream indicative of the shaft position. A coupling is configured to receive a separate machine shaft. A controller is coupled to the encoder and the motor. The controller is configured to receive the position stream from the encoder and produce a drive signal to rotate the motor.

A computer-implemented method of predicting conditions of machines as well as a corresponding data processing system, computer program and computer-readable medium are disclosed. A technical specification of a machine is received. A data set including at least one current operational parameter of the machine is continuously received. A current load of the machine is continuously derived based on the provided technical specification and the received data set via a knowledge base. A current condition of the machine is continuously predicted by integrating over the derived current load and all previously derived current loads.

A method of operation of a computing system includes: transmitting an operational request; receiving an instruction event in response to the operational request; identifying an ordered sequence of the instruction event; loading an event hub with the ordered sequence of the instruction event; and executing the ordered sequence of the instruction event by a functional application including controlling the operation of a device.

A system is provided that predicts motor wear and failures before they occur. Telemetry data from motors in a motor application is collected and predictive algorithms are used to determine when a motor is aging and when it may fail. Identifying a potential failure in these types of applications can help mitigate risk of other equipment failures and realize cost savings. In one example, a motor aging detection system is provided that includes one or more DC motors, and a motor controller coupled to each motor. The motor controller reads three phase currents from each motor and converts the phase currents to digital values, calculates telemetry data including applied voltages, back electric-motive force, inductance, and resistance of each motor at periodic intervals, stores this telemetry data for each motor in a memory. An age detection circuit retrieves this information from the memory and determines age factors of the motor.

A system is provided that predicts motor wear and failures before they occur. Telemetry data from motors in a motor application is collected and predictive algorithms are used to determine when a motor is aging and when it may fail. Identifying a potential failure in these types of applications can help mitigate risk of other equipment failures and realize cost savings. In one example, a motor aging detection system is provided that includes one or more DC motors, and a motor controller coupled to each motor. The motor controller reads three phase currents from each motor and converts the phase currents to digital values, calculates telemetry data including applied voltages, back electric-motive force, inductance, and resistance of each motor at periodic intervals, stores this telemetry data for each motor in a memory. An age detection circuit retrieves this information from the memory and determines age factors of the motor.