DocumentCode
2439428
Title
Natural logarithm sliding mode control (ln-SMC) using EMRAN for active engine mounting system
Author
Wijaya, Andika Aji ; Wahyudi ; Akmeliawati, R. ; Darsivan, Fadly Jashi
Author_Institution
Dept. of Mechatron. Eng., Int. Islamic Univ. Malaysia (HUM), Kuala Lumpur, Malaysia
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
1365
Lastpage
1369
Abstract
Robustness of the controller becomes major important factor in active engine mounting system to ensure the vibration of the engine can be attenuated in entire range of operating speed. As robustness is the main advantage of sliding mode control, it has been proposed for vibration control applications. However, most of the proposed sliding mode control are using linear sliding surface. In addition, there is no schematic method to determine the optimum sliding function. In this paper, natural logarithm-based sliding function is introduced. By its nature, natural logarithm function is nonlinear function. Since it consists of one parameter only, which is related to maximum allowable vibration level, it is more easily to be determined by the designer. Moreover, the advantage of fast on-line training using Extended Minimum Resource Allocating Network (EMRAN) algorithm, made it possible to design feedback control law without having to obtain the precise system model which is normally becomes major difficulties of sliding mode approach.
Keywords
control system synthesis; engines; feedback; mountings; nonlinear systems; robust control; variable structure systems; vibration control; EMRAN; active engine mounting system; controller robustness; extended minimum resource allocating network algorithm; feedback control law design; linear sliding surface; natural logarithm sliding mode control; natural logarithm-based sliding function; nonlinear function; vibration control applications; Actuators; Engines; Force; Mathematical model; Neurons; Sliding mode control; Vibrations; EMRAN; active engine mounting; sliding mode control; vibration control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-7814-9
Type
conf
DOI
10.1109/ICARCV.2010.5707922
Filename
5707922
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