Fuzzy logic controller for AC motor

Fuzzy logic technology enables the use of engineering experience and experimental results in designing an embedded system. In many applications, this circumvents the use of rigorous mathematical modeling to derive a control solution.

The benefits of using fuzzy logic technologies in control system design have been shown in a wide variety of applications and products. In the past, however, the computational resources needed to implement the fuzzy logic algorithm required special hardware such as dedicated fuzzy logic coprocessors or slow microcontrollers (MCUs), which limited the bandwidth of the system.

A standard microcontroller using fuzzy logic does not provide the necessary performance for controlling an AC (induction) motor, and the cost of a fuzzy coprocessor is prohibitive for high-volume applications.

This report shows how the use of a digital signal processor (DSP) with a specialized fuzzy logic software kernel provides the required computing performance while maintaining a low cost. This report presents the following:

A fuzzy logic design that enhances the system's ability to handle the abrupt momentum changes of an AC motor controller
The software technology used to implement the fuzzy logic design

Test results obtained on a real-world motor control application show the performance boost that can be gained by using fuzzy logic on a DSP.

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April 1996, vol. 13, no. 3

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