Performance Improvement of Light Vehicle Suspension System Using PID and Fuzzy Logic Controllers
Abstract- This is an approach to find the effective and optimized controller for a light vehicle suspension system with consideration for testing on uncertain and varying road profile. The strategy is to attenuate the body vibration by reverse dynamic efforts of actuator based on controlled external source of energy. The system is shaped by implementation of PID and Fuzzy Logic Controller with primary gain setting and observed the performance of both the controllers for uncertain road trajectories. The effective parameters; for investigating the performance measure of the system; are vehicle body vertical movement, velocity and time
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The drawn equations of the plant are utilized to model on simulating platform (i.e. Simulink) for response analysis. The considered system, plant is modeled upto minor parametric effect [4]. Modeled plant is employed with PID [5] and Fuzzy logic controller [6, 7]; the plant response with both control approaches is compared for road sensing and irregularities effect on controller efficiency.
A. Mathematical Model The four-degree-of-freedom model is adopted in this work, as shown in figure 1[5]. It is supposed that wheel contacts with road constantly in the model and the dynamic differential equations (equtaion-1, 2, 3 & 4) of proposed model are set up according to Newton’s second law of motion and free body diagram approach [5].
Fig. 1. Four DOF suspension model
Identified design parameters that govern the dynamic behavior of a vehicle’s body considered for study are tabulated in table 1[5].
TABLE I
PARAMETERS USED IN SYSTEM MODELING
Nomenclature
Mass of vehicle’s body, kg Total Length of the body, m Length of the body front and rear end from centre of gravity,
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