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Presented By
Akshay Kamble(2013BCS075)
Subodh Pawar(2013BCS082)
Somesh Mahule(2013BCS083)
Shubham Pagarwar (2014BCS209)
Refrigerators use compression refrigeration cycle.
There is need to increase the performance of these
systems and improve their efficiency. In this study,
an effective controller has been presented that
controls internal temperature of household
refrigerators and its performance shall be compared
with the other commonplace controllers. The main
issue of this work is to set the internal temperature
of refrigerator, reduction in energy losses and to
determine the suitable operating point of
compressor to avoid excessive energy consumption
๏‚ž The cooling is the procedure of heat removal. This
process in the compression systems consists of four
main parts: compressor, condenser, expansion valve
and evaporator.
๏‚ž environmental issues and energy consumption
optimization
1. On-Off Controller
2. PID Controller
*Heuristic functions.
3. Fuzzy Controller
๏‚ž On-Off Controller :-
1.10 Deg Cel & 15 Deg Cel Have different energy
consumption rate High energy consumption
2. Temperature Fluctuation
3.High Energry Consumption.
๏‚ž PID Controller :-
1. Less Temperature Fluctuation around reference
temperature
2. great changes in the transient state may
decrease food quality
Disadvantage:
1. both controllers hardly adapt with temperature changes or
food content in refrigerators, so energy consumption may be
increased.
2. High driving current and fluctuation
in electricity.
(Fuzzy)Rule Based + Experience Based
= Knowledge Based
๏‚ž Fuzzifier
๏‚ž Defuzzifier
Basic configuration of fuzzy systems
๏‚ž Initialize
๏‚ž Membership function
๏‚ž Rule based
๏‚ž Crisp input data -> fuzzy values
๏‚ž Inference
๏‚ž Combine result
๏‚ž Output data -> real values
๏‚ž Input Variables: NL,NS,PS,PL,ZR
๏‚ž Output Variable: LO,Fa,V-Fa,Off,No
๏‚ž Fuzzy Controller effectively reduce the
energy consumption
๏‚ž Low fluctuation of temperature
๏‚ž Save the great amount of energy used by the
household refrigerator system

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Soft Computing

  • 1. Presented By Akshay Kamble(2013BCS075) Subodh Pawar(2013BCS082) Somesh Mahule(2013BCS083) Shubham Pagarwar (2014BCS209)
  • 2. Refrigerators use compression refrigeration cycle. There is need to increase the performance of these systems and improve their efficiency. In this study, an effective controller has been presented that controls internal temperature of household refrigerators and its performance shall be compared with the other commonplace controllers. The main issue of this work is to set the internal temperature of refrigerator, reduction in energy losses and to determine the suitable operating point of compressor to avoid excessive energy consumption
  • 3. ๏‚ž The cooling is the procedure of heat removal. This process in the compression systems consists of four main parts: compressor, condenser, expansion valve and evaporator. ๏‚ž environmental issues and energy consumption optimization
  • 4. 1. On-Off Controller 2. PID Controller *Heuristic functions. 3. Fuzzy Controller
  • 5. ๏‚ž On-Off Controller :- 1.10 Deg Cel & 15 Deg Cel Have different energy consumption rate High energy consumption 2. Temperature Fluctuation 3.High Energry Consumption. ๏‚ž PID Controller :- 1. Less Temperature Fluctuation around reference temperature 2. great changes in the transient state may decrease food quality Disadvantage: 1. both controllers hardly adapt with temperature changes or food content in refrigerators, so energy consumption may be increased. 2. High driving current and fluctuation in electricity.
  • 6.
  • 7. (Fuzzy)Rule Based + Experience Based = Knowledge Based
  • 8. ๏‚ž Fuzzifier ๏‚ž Defuzzifier Basic configuration of fuzzy systems
  • 9. ๏‚ž Initialize ๏‚ž Membership function ๏‚ž Rule based ๏‚ž Crisp input data -> fuzzy values ๏‚ž Inference ๏‚ž Combine result ๏‚ž Output data -> real values
  • 10. ๏‚ž Input Variables: NL,NS,PS,PL,ZR ๏‚ž Output Variable: LO,Fa,V-Fa,Off,No
  • 11.
  • 12. ๏‚ž Fuzzy Controller effectively reduce the energy consumption ๏‚ž Low fluctuation of temperature ๏‚ž Save the great amount of energy used by the household refrigerator system