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Volumn 23, Issue 2, 2015, Pages 474-481

A Two-Variable Fuzzy Control Design with Application to an Air-Conditioning System

Author keywords

Energy efficiency; MATLAB; Real time implementation; Supervisory tuning; Terms Air conditioning system; Two variable fuzzy control

Indexed keywords

AIR CONDITIONING; ENERGY MANAGEMENT SYSTEMS; ENERGY UTILIZATION; FUZZY CONTROL; FUZZY LOGIC; HUMIDITY CONTROL; MATLAB; REAL TIME CONTROL; STABILIZATION; TEMPERATURE CONTROL; THREE TERM CONTROL SYSTEMS;

EID: 84926488055     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2014.2312979     Document Type: Article
Times cited : (38)

References (45)
  • 1
    • 41749097234 scopus 로고    scopus 로고
    • Predictive controllers for thermal comfort optimization and energy savings
    • R. Freire, G. Oliveira, and N. Mendes, "Predictive controllers for thermal comfort optimization and energy savings," Energy Buildings, vol. 40, pp. 1353-1365, 2008.
    • (2008) Energy Buildings , vol.40 , pp. 1353-1365
    • Freire, R.1    Oliveira, G.2    Mendes, N.3
  • 2
    • 65949107784 scopus 로고    scopus 로고
    • Amer. Soc. Heating, Refrigerating and Air-Conditioning Eng., Atlanta, GA, USA
    • Handbook of HVAC Applications, Amer. Soc. Heating, Refrigerating and Air-Conditioning Eng., Atlanta, GA, USA, 2003.
    • (2003) Handbook of HVAC Applications
  • 3
    • 39149106080 scopus 로고    scopus 로고
    • Process control for thermal comfort maintenance using fuzzy logic
    • Z. Baus, S. Nikolovski, and P. Maric, "Process control for thermal comfort maintenance using fuzzy logic," J. Electr. Eng., vol. 59, no. 1, pp. 34-39, 2008.
    • (2008) J. Electr. Eng. , vol.59 , Issue.1 , pp. 34-39
    • Baus, Z.1    Nikolovski, S.2    Maric, P.3
  • 5
    • 0004153575 scopus 로고    scopus 로고
    • Melbourne, Australia: Newnes
    • L. Reznik, Fuzzy Controllers. Melbourne, Australia: Newnes, 1997.
    • (1997) Fuzzy Controllers
    • Reznik, L.1
  • 7
    • 0028699764 scopus 로고
    • Rule development and adjustment strategies of a fuzzy logic controller for an HVAC system - Parts I and II - Analysis and experiment
    • S. Huang and R. M. Nelson, "Rule development and adjustment strategies of a fuzzy logic controller for an HVAC system - Parts I and II - Analysis and experiment," ASHRAE Trans., vol. 100, no. 1, pp. 841-856, 1994.
    • (1994) ASHRAE Trans , vol.100 , Issue.1 , pp. 841-856
    • Huang, S.1    Nelson, R.M.2
  • 8
    • 80455125876 scopus 로고    scopus 로고
    • Design and implementation of robust multivariable PI-like fuzzy logic controller for aerodynamic plant
    • S. Yordanova and E. Haralanova, "Design and implementation of robust multivariable PI-like fuzzy logic controller for aerodynamic plant," Int. J. Adv. Intell. Paradigms, vol. 3, no. 3-4, pp. 257-272, 2011.
    • (2011) Int. J. Adv. Intell. Paradigms , vol.3 , Issue.3-4 , pp. 257-272
    • Yordanova, S.1    Haralanova, E.2
  • 9
    • 0035897750 scopus 로고    scopus 로고
    • A mixed fuzzy controller for MIMO systems
    • R. J. Lian and S. J.Huang, "A mixed fuzzy controller for MIMO systems," Fuzzy Sets Syst., vol. 120, pp. 73-93, 2001.
    • (2001) Fuzzy Sets Syst , vol.120 , pp. 73-93
    • Lian, R.J.1    Huang, S.J.2
  • 11
    • 0347654932 scopus 로고    scopus 로고
    • The control of indoor thermal comfort conditions: Introducing a fuzzy adaptive controller
    • F. Calvino, M. L. Gennusa, G. Rizzo, and G. Scaccianoce, "The control of indoor thermal comfort conditions: Introducing a fuzzy adaptive controller," Energy Buildings, vol. 36, pp. 97-102, 2004.
    • (2004) Energy Buildings , vol.36 , pp. 97-102
    • Calvino, F.1    Gennusa, M.L.2    Rizzo, G.3    Scaccianoce, G.4
  • 12
    • 0035400590 scopus 로고    scopus 로고
    • Advanced fuzzy logic controllers design and evaluation for buildings' occupants thermal-visual comfort and indoor air quality satisfaction
    • D. Kolokotsa, D. Tsiavos, G. S. Stavrakakis, K. Kalaitsakis, and E. Antonidakis, "Advanced fuzzy logic controllers design and evaluation for buildings' occupants thermal-visual comfort and indoor air quality satisfaction," Energy Buildings, vol. 33, pp. 531-543, 2001.
    • (2001) Energy Buildings , vol.33 , pp. 531-543
    • Kolokotsa, D.1    Tsiavos, D.2    Stavrakakis, G.S.3    Kalaitsakis, K.4    Antonidakis, E.5
  • 13
    • 59349112787 scopus 로고    scopus 로고
    • Fuzzy logic controller deployed for indoor air quality control in naturally ventilated environments
    • M. Jaradat, "Fuzzy logic controller deployed for indoor air quality control in naturally ventilated environments," J. Electr. Eng., vol. 60, no. 1, pp. 12-17, 2009.
    • (2009) J. Electr. Eng. , vol.60 , Issue.1 , pp. 12-17
    • Jaradat, M.1
  • 14
    • 84877955665 scopus 로고    scopus 로고
    • Comparison of Mamdani-type and Sugeno-type fuzzy inference systems for air conditioning system
    • May
    • A. Kaur and A. Kaur, "Comparison of Mamdani-type and Sugeno-type fuzzy inference systems for air conditioning system," Int. J. Soft Comput. Eng., vol. 2, no. 2, pp. 323-325, May 2012.
    • (2012) Int. J. Soft Comput. Eng. , vol.2 , Issue.2 , pp. 323-325
    • Kaur, A.1    Kaur, A.2
  • 15
    • 79958730543 scopus 로고    scopus 로고
    • Design and implementation of an integrated fuzzy logic controller for a multi-input multi-output system
    • May
    • S. Patil, P. Bhaskar, and L. Sudheer, "Design and implementation of an integrated fuzzy logic controller for a multi-input multi-output system,"Defence Sci. J., vol. 61, no. 3, pp. 219-227, May 2011.
    • (2011) Defence Sci. J. , vol.61 , Issue.3 , pp. 219-227
    • Patil, S.1    Bhaskar, P.2    Sudheer, L.3
  • 16
    • 84926490670 scopus 로고    scopus 로고
    • Investigation of the system for real time Fuzzy control of a two-variable plant
    • Sozopol, Bulgaria, Jun.
    • st Century, vol. 10, Sozopol, Bulgaria, Jun. 2012, pp. 50-54.
    • (2012) st Century , vol.10 , pp. 50-54
    • Yordanova, S.1    Merazchiev, D.2    Georgieva, A.3
  • 17
    • 64949106436 scopus 로고    scopus 로고
    • Neural network tuned Fuzzy controller for MIMO system
    • S. Chopra, R. Mitra, and V. Kumar, "Neural network tuned Fuzzy controller for MIMO system," Int. J. Electr. Comput. Eng., vol. 2, no. 5, pp. 371-378, 2007.
    • (2007) Int. J. Electr. Comput. Eng. , vol.2 , Issue.5 , pp. 371-378
    • Chopra, S.1    Mitra, R.2    Kumar, V.3
  • 19
    • 64049112175 scopus 로고    scopus 로고
    • Fuzzy expert system design for operating room air-condition control systems
    • N. Etik, N. Allahverdi, I. Sert, and I. Saritas, "Fuzzy expert system design for operating room air-condition control systems," Expert Syst. with Appl., vol. 36, pp. 9753-9758, 2009.
    • (2009) Expert Syst. with Appl. , vol.36 , pp. 9753-9758
    • Etik, N.1    Allahverdi, N.2    Sert, I.3    Saritas, I.4
  • 21
    • 0037118203 scopus 로고    scopus 로고
    • Optimized fuzzy control of a greenhouse
    • F. Lafont and J.-F. Balmat, "Optimized fuzzy control of a greenhouse,"Fuzzy Sets Syst., vol. 128, pp. 47-59, 2002.
    • (2002) Fuzzy Sets Syst , vol.128 , pp. 47-59
    • Lafont, F.1    Balmat, J.-F.2
  • 25
    • 84862137256 scopus 로고    scopus 로고
    • A multi-objective evolutionary algorithm for an effective tuning of Fuzzy logic controllers in heating, ventilating and air conditioning systems
    • M. J. Gacto, R. Alcalá, and F. Herrera, "A multi-objective evolutionary algorithm for an effective tuning of Fuzzy logic controllers in heating, ventilating and air conditioning systems," Appl. Intell., vol. 36, no. 2, pp. 330-347, 2010.
    • (2010) Appl. Intell. , vol.36 , Issue.2 , pp. 330-347
    • Gacto, M.J.1    Alcalá, R.2    Herrera, F.3
  • 26
    • 84901585751 scopus 로고    scopus 로고
    • Development of neuro fuzzy controller algorithm for air conditioning system
    • Apr.
    • A. Kaur and A. Kaur, "Development of neuro fuzzy controller algorithm for air conditioning system," Int. J. Soft Comput. Eng., vol. 4, pp. 1667-1671, Apr. 2012.
    • (2012) Int. J. Soft Comput. Eng. , vol.4 , pp. 1667-1671
    • Kaur, A.1    Kaur, A.2
  • 27
    • 13644279246 scopus 로고    scopus 로고
    • A fuzzy decision-making approach to temperature control in air-conditioning systems
    • R. Thompson and A. Dexter, "A fuzzy decision-making approach to temperature control in air-conditioning systems," Control Eng. Practice, vol. 13, no. 6, pp. 689-698, 2005.
    • (2005) Control Eng. Practice , vol.13 , Issue.6 , pp. 689-698
    • Thompson, R.1    Dexter, A.2
  • 28
    • 0343196668 scopus 로고    scopus 로고
    • Fuzzy predictive control applied to an air-conditioning system
    • J. M. Sousa, R. Babushka, and H. B. Verbruggen, "Fuzzy predictive control applied to an air-conditioning system," Control Eng. Practice, vol. 5, no. 10, pp. 1395-1406, 1997.
    • (1997) Control Eng. Practice , vol.5 , Issue.10 , pp. 1395-1406
    • Sousa, J.M.1    Babushka, R.2    Verbruggen, H.B.3
  • 29
    • 58349114261 scopus 로고    scopus 로고
    • Design and simulation of self-tuning PID-type Fuzzy adaptive control for an expert HVAC system
    • Amsterdam, The Netherlands: Elsevier
    • S. Soygüder, M. Karaköse, and H. Alli, "Design and simulation of self-tuning PID-type Fuzzy adaptive control for an expert HVAC system," in Expert System With Applications. Amsterdam, The Netherlands: Elsevier, 2009, vol. 36, no. 3, part 1, pp. 4566-4573.
    • (2009) Expert System with Applications , vol.36 , Issue.3 , pp. 4566-4573
    • Soygüder, S.1    Karaköse, M.2    Alli, H.3
  • 31
    • 84875699903 scopus 로고    scopus 로고
    • A combined backstepping and stochastic small-gain approach to robust adaptive Fuzzy output feedback control
    • Apr.
    • S. Tong, T. Wang, Y. Li, and B. Chen, "A combined backstepping and stochastic small-gain approach to robust adaptive Fuzzy output feedback control," IEEE Trans. Fuzzy Syst., vol. 21, no. 2, pp. 314-327, Apr. 2013.
    • (2013) IEEE Trans. Fuzzy Syst. , vol.21 , Issue.2 , pp. 314-327
    • Tong, S.1    Wang, T.2    Li, Y.3    Chen, B.4
  • 32
    • 84873403667 scopus 로고    scopus 로고
    • Adaptive Fuzzy output feedback control of MIMO nonlinear systems with unknown dead-zone inputs
    • Feb.
    • S. Tong and Y. Li, "Adaptive Fuzzy output feedback control of MIMO nonlinear systems with unknown dead-zone inputs," IEEE Trans. Fuzzy Syst., vol. 21, no. 1, pp. 134-146, Feb. 2013.
    • (2013) IEEE Trans. Fuzzy Syst. , vol.21 , Issue.1 , pp. 134-146
    • Tong, S.1    Li, Y.2
  • 33
    • 84864654670 scopus 로고    scopus 로고
    • Observer-based adaptive Fuzzy backstepping output feedback control of uncertain MIMO pure-feedback nonlinear systems
    • Aug.
    • S. Tong, Y. Li, and P. Shi, "Observer-based adaptive Fuzzy backstepping output feedback control of uncertain MIMO pure-feedback nonlinear systems,"IEEE Trans. Fuzzy Syst., vol. 20, no. 4, pp. 771-785, Aug. 2012.
    • (2012) IEEE Trans. Fuzzy Syst. , vol.20 , Issue.4 , pp. 771-785
    • Tong, S.1    Li, Y.2    Shi, P.3
  • 34
    • 84867377754 scopus 로고    scopus 로고
    • Control design of uncertain quantum systems with fuzzy estimators
    • Oct.
    • C. Chen, D. Dong, J. Lam, J. Chu, and T. Tarn, "Control design of uncertain quantum systems with fuzzy estimators," IEEE Trans. Fuzzy Syst., vol. 20, no. 5, pp. 820-831, Oct. 2012.
    • (2012) IEEE Trans. Fuzzy Syst. , vol.20 , Issue.5 , pp. 820-831
    • Chen, C.1    Dong, D.2    Lam, J.3    Chu, J.4    Tarn, T.5
  • 35
    • 84867359202 scopus 로고    scopus 로고
    • On the fundamental differences between interval type-2 and type-1 fuzzy logic controllers
    • Oct.
    • D. Wu, "On the fundamental differences between interval type-2 and type-1 fuzzy logic controllers," IEEE Trans. Fuzzy Syst., vol. 20, no. 5, pp. 832-848, Oct. 2012.
    • (2012) IEEE Trans. Fuzzy Syst. , vol.20 , Issue.5 , pp. 832-848
    • Wu, D.1
  • 36
    • 84873387382 scopus 로고    scopus 로고
    • Approaches for reducing the computational cost of interval type-2 fuzzy logic systems: Overview and comparisons
    • Feb.
    • D.Wu, "Approaches for reducing the computational cost of interval type-2 fuzzy logic systems: Overview and comparisons," IEEE Trans. Fuzzy Syst., vol. 21, no. 1, pp. 80-99, Feb. 2013.
    • (2013) IEEE Trans. Fuzzy Syst. , vol.21 , Issue.1 , pp. 80-99
    • Wu, D.1
  • 37
    • 80053069638 scopus 로고    scopus 로고
    • Adaptive non-singleton type-2 fuzzy logic systems: A way forward for handling numerical uncertainties in real world applications
    • N. Sahab and H. Hagras, "Adaptive non-singleton type-2 fuzzy logic systems: A way forward for handling numerical uncertainties in real world applications," Int. J. Comput., Commun. Control, vol. 6, no. 3, pp. 503-529, 2011.
    • (2011) Int. J. Comput., Commun. Control , vol.6 , Issue.3 , pp. 503-529
    • Sahab, N.1    Hagras, H.2
  • 38
    • 84864813509 scopus 로고    scopus 로고
    • Areview of the application of multiobjective evolutionary Fuzzy systems: Current status and further directions
    • Feb.
    • M. Fazzolari, R. Alcala, Y. Nojima, H. Ishibuchi, and F. Herrera, "Areview of the application of multiobjective evolutionary Fuzzy systems: Current status and further directions," IEEE Trans. Fuzzy Syst., vol. 21, no. 1, pp. 45-65, Feb. 2013.
    • (2013) IEEE Trans. Fuzzy Syst. , vol.21 , Issue.1 , pp. 45-65
    • Fazzolari, M.1    Alcala, R.2    Nojima, Y.3    Ishibuchi, H.4    Herrera, F.5
  • 39
    • 84875703848 scopus 로고    scopus 로고
    • Fuzzy logic system-based adaptive fault-tolerant control for near-space vehicle attitude dynamics with actuator faults
    • Apr.
    • Q. Shen, B. Jiang, and V. Cocquempot, "Fuzzy logic system-based adaptive fault-tolerant control for near-space vehicle attitude dynamics with actuator faults," IEEE Trans. Fuzzy Syst., vol. 21, no. 2, pp. 289-300, Apr. 2013.
    • (2013) IEEE Trans. Fuzzy Syst. , vol.21 , Issue.2 , pp. 289-300
    • Shen, Q.1    Jiang, B.2    Cocquempot, V.3
  • 41
    • 76149128957 scopus 로고    scopus 로고
    • World knowledge for control applications by fuzzy-interpolative systems
    • M. M. Balas and V. E. Balas, "World knowledge for control applications by fuzzy-interpolative systems," Int. J. Comput., Commun. Control, vol. 3, pp. 28-32, 2008.
    • (2008) Int. J. Comput., Commun. Control , vol.3 , pp. 28-32
    • Balas, M.M.1    Balas, V.E.2
  • 42
    • 84870054071 scopus 로고    scopus 로고
    • Density-based averaging-A new operator for data fusion
    • P. Angelov and R. Yager, "Density-based averaging-A new operator for data fusion," Inf. Syst., vol. 222, pp. 163-174, 2013.
    • (2013) Inf. Syst. , vol.222 , pp. 163-174
    • Angelov, P.1    Yager, R.2
  • 43
    • 84856325149 scopus 로고    scopus 로고
    • A new type of simplified fuzzy rule-based systems
    • Jan.
    • P. Angelov and R. Yager, "A new type of simplified fuzzy rule-based systems," Int. J. Gen. Syst., vol. 41, no. 2, pp. 163-185, Jan. 2012.
    • (2012) Int. J. Gen. Syst. , vol.41 , Issue.2 , pp. 163-185
    • Angelov, P.1    Yager, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.