Parallel fuzzy logic controller implementation using mpich2

Abstract EN

In this work FLC program is implemented using C++ codes.

Two implementations are presented one with the rules stored inside the program, the other with rules in a rulebase file.

The execution times of these two implementations, along with MATLAB FLC implementation, are compared using different simulated FLCs.

Furthermore, to reduce the rulebase searching time, a parallel FLC is implemented using C++ and MPI (Message Passing Interface).

The MPICH2 package is used to run the parallel FLC.

A cluster of four computers is used as the parallel environment.

The execution time of this FLC program is evaluated using servomotor, Anti-Skid System, and other simulated applications.

The speedup and efficiency are studied using different number of computers.

The results show that decomposing the rule base searching operation to more than a computer reduce the execution time significantly.