A Fast PID Tuning Algorithm for Feed Drive Servo Loop

Ferit Idrizi, Jorgaq Kacani


The behavior of the dynamic systems is directly related to the mechanical structure. The CNC vertical milling machine has a control structure where an algorithm for trajectory generation is implemented in order to achieve the final objective such as high productivity and high surface quality. Tool positioning accuracy determines the machining surface quality level which is provided by feed drive system for each axes and is directly related with efficiency of a power electromechanical system, and the structural characteristics, like guides stiffness, damping values. The Feed drive control of milling process has some general control requirements based on specific process requirements for the optimum control dynamics with fast response, higher stability and no oscillations. The PID control strategy is based on a control algorithm that involves three separate parameters P, I and D, and on calculation of control action as a sum of these tree factors. It is very important to find reasonable gains based on how much control effort it's available and how much error it is expecting to have and fast method for tuning the PID. In order to observe the basic impacts, of the proportional, integrative and derivative gain to the system response and the suitable tuning method for this we propose a fast tuning algorithm based on empirical method.  Usually, all manual tuning techniques, after proportional parameter tuning starts with the integral ones. According to the analysis related to the feed drive control and its specifications of control, we propose a simple and fast way by giving more damping effect during feedback control loop execution.  In this paper we have presented a flow chart for fast adjustment of the PID parameters closed loop only for DC proper for the feed drive system, without including the impact of nonlinearities.


Fast tuning; PID; CNC; Feed drive; servo control.

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Y. Altintas,A. Verl,C. Brecher, L. Uriarte, G. Pritschow, " Machine tool feed drives" ,CIRP Annals - Manufacturing Technology, 2012

Chien-Yu Lin and Ching-Hung Lee, Remote Servo Tuning System for Multi-Axis CNC, Machine Tools Using a Virtual Machine Tool Approach, 2017, www.mdpi.com/journal/applsci

Sou Watanabe · Ryuichi Oguro · Jun Kobayashi Fujio Ohkawa, Modeling and position control based on a two-mass system for a machine stand vibration system, Artif Life Robotics (2007)

KhalidA.Buragga, Essam Natesheh,“Comparation between conventional and fuzzy logic PID controllers for controlling DC Motors”, IJCSI, September, 2010.

Emre Sariyildiz, Haoyong Yu, Kouhei Ohnishi,"A Practical Tuning Method for the Robust PID ", Machines 2015, www.mdpi.com/journal/machines

Ang, K.H.; Chong, G.; Li, Y. PID, Control System Analysis, Design, and Technology. IEEE Trans. Control Syst. Technol. 2005, 13, 559–576.

Ziegler, J.G.; Nichols, N.B. Optimum setting for automatic controllers. Trans. ASME 1942, 64, 759–768.

Neenu Thomas, Dr. P. Poongodi, Position Control of DC Motor Using Genetic Algorithm Based PID Controller, Proceedings of the World Congress on Engineering 2009 Vol IIWCE 2009, July 1 - 3, 2009, London, U.K.


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