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Writing Engineering Abstracts(35)

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(1 of 2) (+) An intelligent thermostattest ing system can analyze how environmentaltemperatures cause instability in the properties ofintegrated circuits (ICs). However, conventional analysismethods fail to determine precisely those factors that

influence the temperatures that ICs can operate under. Therefore, this work describes an intelligent thermostattesting system for ICs that can control temperaturechanges for extended periods and record data from anexpanded USB and relay switch, while controlling 127

groups of test systems simultaneously. Environmentaltemperature is controlled automatically. Data for parametersettings are then recorded precisely. Next, hardwarecircuitry and performance algorithms are integrated.Additionally, a Windows-based application program isdesigned to record and analyze results.

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(2 of 2)Simulation results indicate that, capableof analyzing temperature-related characteristics of ICs, theproposed thermostat testing system adequately controlstemperature variations within a range of 20 C 120 C for127 groups of test systems on a data log every 240 hours.

Importantly, the proposed thermostattesting system monitors and effectively controls factors thatwould enable a variation in temperature to enhance ICcharacteristics, lower the product error rate, and reduce theoverhead costs of IC products.

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(1 of 2) (+) DSP modulation algorithmprofoundly impacts the operations of sensorless motors interms of start-up, position, and speed control applications.However, given the narrow applications of sensorlessmotor drivers, determining the appropriate applications of

such drivers is extremely difficult. The failure to incorporateaccurate position and speed control in motor controlultimately leads to motor breakdowns. Therefore, thiswork presents a novel algorithm based on sinusoidalcurrent control to prevent a sensorless motor from stopping,

through start-up to constant speed. All sensorlessmotor-related information is incorporated into the proposedalgorithm to drive a sensorless motor by using DSP. Thespeed range of a start-up is then estimated under variousload conditions. Next, the initial position of a static motor isevaluated to prevent a reverse forward situation of the

motor.

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(2 of 2) Analysis results indicate that theproposed algorithm based on sinusoidal current controlintegrates information from a sensorless motor, e.g., phasevoltage and phase current, while disregarding informationfrom the conventional sensor.

Importantly, the proposed algorithm enables sensorlessmotor drivers to save sensor-related costs for motorapplications. Moreover, the sinusoidal current control for asensorless motor decreases the torque ripple andincreases efficiency.

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