The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 52-562
Full Name: GIGIH PRIYANDOKO
Position: Senior Lecturer
Age: ON
Sex: Female
Address: FACULTY OF MECHANICAL ENGINEERING, UNIVERSITI MALAYSIA PAHANG, PEKAN, PAHANG
Country: MALAYSIA
Tel: +6094242226
Tel prefix:
Fax: +6094242202
E-mail address: gigihp@gmail.com
Other E-mails: gigihp@gmail.com
Title of the Paper: Neuro Proportional Integral Sliding Mode Control of a Quarter Car Active Suspension System
Authors as they appear in the Paper: Gigih Priyandoko, Yahaya Md. Sam, Johari Halim Shah
Email addresses of all the authors: gigih@ump.edu.my, yahaya@fke.utm.my, johari@fke.utm.my
Number of paper pages: 10
Abstract: This paper is to presents a new strategy in controlling the active suspension system. The strategy utilized the neuro proportional-integral sliding mode control (NPI-SMC) scheme. A quarter-car model is applied in the study and the performance of the controller is compared to the conventional proportional-integral sliding mode control (PI-SMC) and with the existing passive suspension system. The proposed controller consists of an inner loop for force tracking control of the hydraulic actuator using the proportional integral and an outer loop controller to reject the effects of road induced disturbances using the NPI-SMC scheme. In the PI-SMC scheme, to get the system stable the non-singular matrix C is chosen by trial and error. To obtain adequate element matrix C the neural network using Levenberg-Marquardt (LM) learning algorithm is proposed. It was found that the simulation result was in good agreement in which the NPI-SMC scheme is found to perform better compar!
ed to the PI-SMC and passive counterparts.
Keywords: Quarter car model, sliding mode control, hydraulic actuator, neural network
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