Abstract
This paper presents numerical results on dampening of cutting force acting on a servo drive positioning system in milling application. In any machining process, accuracy of the servo drive system that governs positioning of the work piece material relatives to the cutting tool are of utmost important. Aside from machine structural vibration and friction, cutting force from the cutting process exerts undesired influence on the servo drive system. Therefore, the servo drive position controller must compensate and damp any acting disturbance force. Disturbance forces are difficult to estimate and physical sensors have various disadvantages such as high cost and reduce reliability. A state observer approach is an attractive alternative to physical sensors. The aim of this work is to estimate and compensate acting disturbance force in milling cutting process simulation via state observer and controller design. The observer was designed based on the principle of conservation of forces utilizing input measurement of relative acceleration of the positioning system. The position cascade P/PI controller and the state observer were designed in MATLAB/SIMULINK environment. The control system performances were measured based on maximum tracking errors for sinusoidal input disturbance signals of single frequency and multi frequency. Numerical results showed reduction of 25.00% and 38.18% in maximum tracking errors signifying the advantages of this control strategy.
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The authors would like to extend our appreciation to Fakulti Kejuruteraan Pembuatan and Universiti Teknikal Malaysia Melaka for the facilities and the research grant provided PJP/2020/FKP/TD/S01724.
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Jamaludin, Z., Hau, P.Y., Heng, C.T., Abdullah, L., Rafan, N.A. (2022). Investigation on Disturbance Force Compensation via State Observer Design and Cascade P/PI Controller Approach. In: Ali Mokhtar, M.N., Jamaludin, Z., Abdul Aziz, M.S., Maslan, M.N., Razak, J.A. (eds) Intelligent Manufacturing and Mechatronics. SympoSIMM 2021. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-8954-3_16
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