Information Technology Reference
In-Depth Information
derivative are delivered to an input. Stimuli governing unload velocity are
delivered to an output. Linguistic values of bed height error and its derivative are
following: high negative (HN), low negative (LN), zero (Z), low positive (LP),
high positive (HP). Linguistic values of unload velocity regulation are following:
tremendously reduce (TR), strongly reduce (SR), moderately reduce (MR),
slightly reduce (SLR), not to change (NC), slightly increase (SLI), moderately
increase (MI), strongly increase (SI), tremendously increase (TI).
Table 2.2 Base of fuzzy logic conclusion rules
Error Derivative of the error Regulation of unload velocity
HN
HN
TR
HN
LN
SR
HN
Z
MR
HN
LP
SLR
HN
HP
NC
LN
HN
SR
LN
LN
MR
LN
Z
SLR
LN
LP
NC
LN
HP
SLI
Z
HN
MR
Z
LN
SLR
Z
Z
NC
Z
LP
SLI
Z
HP
MI
LP
HN
SLR
LP
LN
NC
LP
Z
SLI
LP
LP
MI
LP
HP
SI
HP
HN
NC
HP
LN
SLI
HP
Z
MI
HP
LP
SI
HP
HP
TI
Formalization of input and output linguistic values is carried out based on the
COSS terms. Controlling output value is formed by fuzzy logic conclusion in
accordance with the rule base provided in Table 2.2.
Efficiency of the model was proved experimentally under various technological
process modes.
 
 
Search WWH ::




Custom Search