DocumentCode :
2634773
Title :
Auto-tuning PID module of robot motion system
Author :
Xiao, Huafei ; Wang, Shaoping
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2011
fDate :
21-23 June 2011
Firstpage :
668
Lastpage :
673
Abstract :
In order to make the movement of mobile robot more smoothly, this paper designs a Auto-tuning PID module for mobile robot motion system. Based on the systematic mathematical model, this paper presents a least-square real-time parameter estimation algorithm with forgetting factor and incremental PID controller algorithm, and provides PID parameters optimization algorithm for the minimization of objective function. The digital signal controller Microchip dsPIC30F4011 is chosen as the core of master control system to accomplish the design of system software and hardware. The results of spot test in mobile robot´s platform indicates that self-tuning PID control system can real-time estimate the controlled object parameter, real-time set adjust the controller parameters, then adapt to controlled object variance. So the auto-tuning PID control module is robust with good performance and anti-disturbance capability.
Keywords :
digital signal processing chips; least squares approximations; mobile robots; motion control; parameter estimation; self-adjusting systems; three-term control; PID parameters optimization algorithm; autotuning PID module; digital signal controller Microchip dsPIC30F4011; forgetting factor; incremental PID controller algorithm; least-square real-time parameter estimation algorithm; mobile robot motion system; objective function minimization; selftuning PID control system; Algorithm design and analysis; Brushless DC motors; Mobile robots; Motion control; Torque; Auto-tuning PID; DSC; Mobile robot; Motion Controller; Parameter estimate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location :
Beijing
ISSN :
pending
Print_ISBN :
978-1-4244-8754-7
Electronic_ISBN :
pending
Type :
conf
DOI :
10.1109/ICIEA.2011.5975670
Filename :
5975670
Link To Document :
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