Title :
GA tuned Type-2 Fuzzy Logic Controller for vehicle suspension system
Author :
Celin, P. Subha ; Rajeswari, K.
Author_Institution :
Dept. of Electron. & Instrum. Eng., Velammal Eng. Coll., Chennai, India
Abstract :
Type-2 Fuzzy Logic Controllers (T2FLC) have recently been used in active suspension system, because it handles uncertainties to a greater extent. In this paper, the performance of T2FLC based Vehicle Active Suspension System (VASS) in terms of sprung mass displacement, body acceleration, suspension deflection and tyre deflection are compared with that of Type-1 Fuzzy Logic Controller (T1FLC) based VASS using MATLAB and SIMULINK software. Root Mean Square (RMS) value of body acceleration is considered as the performance index. Also it is proposed to apply the Genetic Algorithm to T2FLC (GA-T2FLC) based VASS. Simulation results show that GA-T2FLC based VASS outperforms T2FLC, T1FLC and passive suspension system.
Keywords :
fuzzy control; genetic algorithms; mathematics computing; mean square error methods; road vehicles; suspensions (mechanical components); vibration control; GA tuned type-2 fuzzy logic controller; Matlab; RMS; Simulink; T2FLC; VASS; body acceleration; genetic algorithm; root mean square; sprung mass displacement; suspension deflection; tyre deflection; vehicle active suspension system; Fuzzy logic; Genetic algorithms; Suspensions; Vehicles; GA-T2FLC; Performance Index; T1FLC; T2FLC; VASS;
Conference_Titel :
Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on
Conference_Location :
Kumaracoil
Print_ISBN :
978-1-4673-0211-1
DOI :
10.1109/ICCEET.2012.6203863
