Ahmad Zhafran Ahmad Mazlan
ABSTRACT
This study aims to suppress the vibration produced by power tool to the suspended handle model using Active Force Control (AFC) method with embedded of an intelligent control method. Prolonged use of power tool with the high level of vibration can lead to the Hand-arm Vibration syndrome (HAVs). Due to this, a dynamic analysis of the power tool-suspended handle model is necessary to reduce the vibration of the whole system. The suspended handle is modelled as a single-degree-of-freedom (SDOF) system and power tool disturbance is applied to the system. In this simulation, four systems are investigated and compared which are passive system, AVC with proportional-integration-derivative (PID), AVC with PID-AFC-Crude Approximation (CA) and AVC with PID-AFC-Fuzzy Logic (FL) controllers. The intelligent method of FL used to determine the AFC controller parameter which is the estimated mass (EM). From this study, the optimum EM values obtained from CA method is 0.04 kg while for the FL method is 0.04223 kg. This value produced by the triangular-shaped membership function in the FL controller. In addition, the overall performances are also compared by changing the target input value and the AFC-FL can still produce the best result to the system.
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Index Terms
- Performance Comparison of the PID-AFCCA and PID-AFCFL Controllers in Reducing the Vibration of the Suspended Handle
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