VU VICKY Virtual University Assignment Solution, Past Papers, Handouts and other material

                                CS607 Assignment No 3

Solution :

a) Fuzzy Input Variables:

This proposed design of control system has four inputs: luminance intensity, luminance mode, temperature and humidity.

b) Output variables of fuzzy system:

Luminance controller, air conditioner, ceiling fan, air-cooler fan, water pump and heating unit.

c) Ranges:

Luminance intensity (cd)	MF Range	Luminance Mode	MF Range	Temperature	MF Range	Humidity (RH)	MF Range
Dark	0-33	Sleep/off	0-33	Cold	0-15	wet	0-33
Low	0-66	Candle light/safety	0-66	Cool	15-45	normal	0-66
				nominal
Normal	33-100	Normal working	33-100	warm	30-60	dry	33-100
				Very warm	45-80
Bright	66-100	Work/study/display	66-100	hot	60-100	Very dry	66-100
				Very hot	80-100

Luminance controller	MF Range	Air Conditioner	MF Range
Off	0-30	Off	0-20
Low	0-60	Fan mod	0-40
Medium	30-90	Low	20-60
High	60-100	Medium	40-80
		High	60-100
		Low	80-100

Ceiling fan	MF Range	Air cooler fan	MF Range	Water pump	Mf range	Heating unit	Mf range
Off	0-30	Off	0-50	Off	0-50	High	0-50
Low	0-60	Low	0-100	Low	0-100	Low	0-100
Medium	30-100	High	50-100	High	50-100	off	50-100
High	60-100

Inference rules:

Rule base for light intensity control

Rule no	input
	Luminance mode	Luminance intensity
1	Sleep/off	Dark	Off
2		Low	Off
3		Normal	Off
4		bright	Off
5	Candle light/safety	Dark	Low
6		Low	Off
7		Normal	Off
8
		bright	Off
9	Normal working	Dark	Medium
10		Low	Medium
11		Normal	Off
12
		bright	Off
13	Work/study/display	Dark	High
14		Low	High
15		Normal	Medium
16		Bright	Off

Rule Base For Temperature And Humidity Control  In The  Premises

Rule no	inputs		outputs
	temperature	humidity	Ceiling fan	Air cooler fan	Water pump	Air conditioner	Heating unit
17	Cold	Wet	Off	Off	Off	Off	High
18	Cold	Normal	Off	Off	Off	Off	High
19	Cold	Dry	Off	Off	Off	Off	Low
20	Cool	Wet	Off	Off	Off	Off	High
21	Cool	Normal	Off	Off	Off	Off	Low
22	Cool	Dry	Off	Off	Off	Off	Low
23	Nominal	Wet	Off	Off	Off	Off	Low
24	nominal	normal	off	off	off	off	Off

Rule Base For Temperature And Humidity Control In Indoor Premises Containing Air-Cooler And Ceiling Fan

25	Worm	Wet	Off	Off	Off	None	Off
26	Worm	Normal	Low	Off	Off	None	Off
27	Very worm	Normal	Medium	Off	Off	None	Off
28	Hot	Normal	High	Off	Off	None	Off
29	Hot	Dry	Medium	Low	Low	None	Off
30	Hot	Very dry	Low	High	High	None	Off
31	Very hot	Normal	Low	Low	Low	None	Off
32	Very hot	Dry	Medium	High	High	None	Off
33	Very hot	Very dry	high	high	high	None	Off

Rule Base For Temperature And Humidity Control In Indoor Premises Containing Air-conditioners

34	Worm	Wet	None	None	None	Off	Off
35	Worm	Normal	None	None	None	Fan mod	Off
36	Very worm	Normal	None	None	None	Fan mod	Off
37	Hot	Normal	None	None	None	Low	Off
38	hot	Dry	None	None	None	Medium	Off
39	hot	Very dry	None	None	None	High	Off
40	Very hot	Normal	None	None	None	medium	off
41	Very hot	Very dry	none	none	none	Very high	off
42	Very hot	Very dry	none	none	none	Very high	off

Rule Base For Temperature And Humidity Control In Indoor Premises Containing ceiling fan

44	Warm	Normal	Low	None	None	None	Off
45	Very warm	Normal	medium	None	None	None	Off
46	Hot	Normal	medium	None	None	None	Off
47	Hot	Dry	medium	None	None	None	Off
48	Hot	Very dry	Low	None	None	None	Off
49	Very hot	Normal	High	None	None	None	Off
50	Very hot	Dry	High	None	None	None	Off
51	Very hot	Very dry	high	None	None	None	Off

Rule Base For Temperature And Humidity Control In Indoor Premises Containing Air-cooler

52	Warm	Wet	None	Off	Off	None	Off
53	Warm	Normal	None	Low	Off	None	Off
54	V.warm	Normal	None	High	Off	None	Off
55	Hot	normal	None	Low	Low	None	Off
56	Hot	Dry	None	High	Low	None	Off
57	Hot	Very dry	None	Low	High	None	Off
58	Very hot	Normal	None	High	Low	None
59	Very hot	Dry	None	High	High	None	Off
60	Very hot	Very dry	None	high	high	None	Off

e) Short summery of design algorithm

There are included fuzzier , inference kernel connected with knowledgebase and de-fuzzier in the proposed fuzzy logic system. The knowledgebase contains database , rule base and membership functions. The fuzzier converts the crisp values into Linguistics values.

The linguistics values are manipulated for inference engine. The kernel of the system provides the output according to the rule selector.

The rule selector select the rules according to the knowledgebase.  Knowledgebase comprises of database , rule base and membership functions. Rule base is built up carefully considering all possible effective situations. There have been incorporated four inputs variables: luminance intensity, luminance mode, temperature and humidity.

There are six outputs controlling appliances: luminance controller, air conditioner ,ceiling fan , air cooler fan, water pump and heating unit. There have been considered sixty rules for the effective situations focusing energy saving . there are used sixty operators for the rule selector. Luminance mode can be set according to the requirement.

<<Download>>