29-05-2012, 05:37 PM
Fuzzy logic in embedded microcomputers and control systems
[attachment=23425]
A fuzzy logic tutorial
There is a clear lack of basic tutorial materials for fuzzy logic. I decided
that I did have enough material to create a reasonable tutorial for those
beginning to explore the possibilities of fuzzy logic. In addition to the
material presented at the embedded systems conference I have added
additional chapters.
Clear thinking on fuzzy linguistics
The first chapter essentially consists of the editorial I wrote for
Electronic Engineering Times (printed on October 4, 1993). The
editorial presented a case for the addition of linguistic variables to the
programmer's toolbox.
Fuzzy logic implementation on embedded microcomputers
The second chapter is based upon a paper I presented at Fuzzy Logic '93
by Computer Design in Burlingame, CA (in July of 1993). This paper
described the implementation considerations of fuzzy logic on
conventional, small, embedded micro-computers. Many of the paper's
design considerations were essential to the development of our Fuzz-C
preprocessor. I have created most of the included examples in Fuzz-C
and although you don't need to use Fuzz-C to implement a fuzzy logic
system, you will find it useful to understand some of its design.
Software Reliability and Fuzzy Logic
Originally part of the implementation paper, this chapter presents what is
actually a separate subject. The inherent reliability and self scaling
aspects of fuzzy logic are becoming important and may in fact be the
over riding reason for the use of fuzzy logic.
Appendix
The appendix contains, in addition to copies of the slides, the actual
code for a fuzzy PID controller as well as the block diagram of the PID
controller used in my Santa Clara talk entitled Fuzzy Logic For Control
Systems.
Adjusting to fuzzy design
While presenting the paper in Santa Clara, much of the discussion
touched on provable control stability. This final issue has discouraged
many engineers from employing fuzzy logic in their designs. Despite the
great incentive to use fuzzy logic, I found it took me about a year and a
half to feel comfortable with the addition of linguistic variables to my
software designs.
[attachment=23425]
A fuzzy logic tutorial
There is a clear lack of basic tutorial materials for fuzzy logic. I decided
that I did have enough material to create a reasonable tutorial for those
beginning to explore the possibilities of fuzzy logic. In addition to the
material presented at the embedded systems conference I have added
additional chapters.
Clear thinking on fuzzy linguistics
The first chapter essentially consists of the editorial I wrote for
Electronic Engineering Times (printed on October 4, 1993). The
editorial presented a case for the addition of linguistic variables to the
programmer's toolbox.
Fuzzy logic implementation on embedded microcomputers
The second chapter is based upon a paper I presented at Fuzzy Logic '93
by Computer Design in Burlingame, CA (in July of 1993). This paper
described the implementation considerations of fuzzy logic on
conventional, small, embedded micro-computers. Many of the paper's
design considerations were essential to the development of our Fuzz-C
preprocessor. I have created most of the included examples in Fuzz-C
and although you don't need to use Fuzz-C to implement a fuzzy logic
system, you will find it useful to understand some of its design.
Software Reliability and Fuzzy Logic
Originally part of the implementation paper, this chapter presents what is
actually a separate subject. The inherent reliability and self scaling
aspects of fuzzy logic are becoming important and may in fact be the
over riding reason for the use of fuzzy logic.
Appendix
The appendix contains, in addition to copies of the slides, the actual
code for a fuzzy PID controller as well as the block diagram of the PID
controller used in my Santa Clara talk entitled Fuzzy Logic For Control
Systems.
Adjusting to fuzzy design
While presenting the paper in Santa Clara, much of the discussion
touched on provable control stability. This final issue has discouraged
many engineers from employing fuzzy logic in their designs. Despite the
great incentive to use fuzzy logic, I found it took me about a year and a
half to feel comfortable with the addition of linguistic variables to my
software designs.