St. Louis, Missouri
June 18, 2000
June 18, 2000
June 21, 2000
5.24.1 - 5.24.6
A Fuzzy Logic Control Project For a Real-time Microprocessor Laboratory
Richard E. Pfile Indiana University-Purdue University at Indianapolis Greg Smith Cummins Engine Company
An advanced microprocessor course was revised to use the new Motorola M-Core 32-bit RISC processor. A series of laboratories were developed for the course that implements fuzzy logic control of an inverted pendulum. The interface hardware was intentionally kept very simple to force the interface and control functions to be implemented in software. The laboratory provides a platform for exercising many microprocessor/control concepts including using multiple interrupts, reading incremental encoders, implementing PWM control techniques, using an internal timer to calculate rates of change, and interfacing to a commercial fuzzy logic engine.
A series of laboratory experiments was added to a microprocessor class in which students balance an inverted pendulum using fuzzy logic control. The problem provides a platform for exercising many microprocessor/control concepts including the using multiple interrupts, directly reading incremental encoders, implementing PWM control techniques, using an internal timer to calculate rates of change, and interfacing to a commercial fuzzy logic engine.
Many Electrical Engineering Technology graduates are employed by automation companies where they are required to develop solutions to computer-based automatic control problems. Technology program curriculums typically do offer courses that provide significant depth in solving classical control systems problems, but graduates working in the automation field still need tools to solve control problems. Fuzzy logic is an effective control tool that can be readily implemented in a technology program.1 Students with a fuzzy logic background can solve many control problems as long as they know what the expected behavior is for various inputs. In addition students get experience reading incremental encoders and applying pulse- width-modulation; two concepts commonly used in the automation field. Students also enjoy solving the problem because it is readily verifiable and has a dynamic output. Funding for equipment funding to develop this course was provided by the National Science Foundation grant number 9750497.
Smith, G., & Pfile, R. E. (2000, June), A Fuzzy Logic Control Project For A Real Time Microprocessor Laboratory Paper presented at 2000 Annual Conference, St. Louis, Missouri. https://www.jee.org/8400
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