Harmony search algorithm-based fuzzy-PID controller for electronic throttle valve

Neural Computing and Applications

Volumn 22, Issue 2, 2013, Pages 329-336

  Wang, Hui ^a   Yuan, Xiaofang ^a   Wang, Yaonan ^a   Yang, Yimin ^a  

^a HUNAN UNIVERSITY   (China)

Author keywords

Electronic throttle; Fuzzy logic control; Harmony search algorithm (HSA); PID control

Indexed keywords

CONTROLLERS; ELECTRIC CONTROL EQUIPMENT; FUZZY CONTROL; FUZZY INFERENCE; FUZZY LOGIC; FUZZY RULES; LEARNING ALGORITHMS; THREE TERM CONTROL SYSTEMS; TWO TERM CONTROL SYSTEMS;

EFFECTIVE PERFORMANCE; ELECTRONIC THROTTLE; ELECTRONIC THROTTLE CONTROL; ELECTRONIC THROTTLE VALVE; ENVIRONMENTAL VARIABLES; FUZZY LOGIC CONTROL; FUZZY PROPORTIONAL INTEGRAL DERIVATIVES; HARMONY SEARCH ALGORITHMS;

PROPORTIONAL CONTROL SYSTEMS;

EID: 84872600205     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0678-3     Document Type: Article

References (20)

1. Yuan X, Wang Y, Wu L (2008) SVM-based approximate model control for electronic throttle valve. IEEE Trans Vehicul Technol 57(5): 2747-2756.
2. Yuan X, Wang Y (2009) A novel electronic throttle valve controller based on approximate model method. IEEE Trans Indus Electron 56(3): 883-890.
3. Deur J, Pavkovic D, Peric N, Jansz M, Hrovat D (2004) An electronic throttle control strategy including compensation of friction and limp-home effects. IEEE Trans Indus Appl 40(3): 821-834.
4. Pavkovic D, Deur J, Jansz M, Peric N (2006) Adaptive control of automotive electronic throttle. Control Eng Practice 14(2): 121-136.
5. Mercorelli P (2009) Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve. Mechatronics 19(8): 1334-1345.
6. Vasak M, Baotic M, Petrovic I, Peric N (2007) Hybrid theory-based time-optimal control of an electronic throttle. IEEE Trans Indus Electron 54(3): 1483-1494.
7. Reichhartinger M, Horn M (2009) Application of higher order sliding-mode concepts to a throttle actuator for gasoline engines. IEEE Trans Indus Electron 56(9): 3322-3329.
8. Nakano K, Sawut U, Higuchi K, Okajima Y (2006) Modelling and observer-based sliding-mode control of electronic throttle systems. ECTI Trans Electr Eng Eletron Commun 4(1): 22-28.
9. Dey C, Mudi Rajani K (2009) An improved auto-tuning scheme for PID controllers. ISA Trans 48(4): 396-409.
10. Mizumoto I, Ikeda D, Hirahata T, Iwai Z (2010) Design of discrete time adaptive PID control systems with parallel feedforward compensator. Control Eng Practice 18(2): 168-176.
11. Ahn KK, Truong DQ (2009) Online tuning fuzzy PID controller using robust extended Kalman filter. J Process Control 19(6): 1011-1023.
12. Truong DQ, Ahn KK (2011) Force control for press machines using an online smart tuning fuzzy PID based on a robust extended Kalman filter. Exp Syst Appl 38(5): 5879-5894.
13. Pan I, Das S, Gupta A (2011) Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay. ISA Trans 50(1): 28-36.
14. Jahedi G, Ardehali MM (2011) Genetic algorithm-based fuzzy-PID control methodologies for enhancement of energy efficiency of a dynamic energy system. Energy Convers Manage 52(1): 725-732.
15. Wu CJ, Ko CN, Fu YY et al (2009) A genetic-based design of auto-tuning fuzzy PID controllers. Int J Fuzzy Syst 11(1): 49-58.
16. Chiou JS, Liu MT (2009) Numerical simulation for fuzzy-PID controllers and helping EP reproduction with PSO hybrid algorithm. Simulat Modell Practice Theory 17(10): 1555-1565.
17. Zong Woo G, Joong Hoon K, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulation 76(2): 60-68.
18. Alia OM, Mandava R (2011) The variants of the harmony search algorithm: an overview. Artif Intell Rev 36(1): 49-68.
19. Jaberipour Majid, Khorram Esmaile (2010) Two improved harmony search algorithms for solving engineering optimization problems. Commun Nonlinear Sci Numer Simulat 15(11): 3316-3331.
20. Shayeghi H, Shayanfar HA, Jalili A (2006) Multi-stage fuzzy PID power system automatic generation controller in deregulated environments. Energy Convers Manage 47(18-19): 2829-2845.