Title :
Research on driving wheel control of cleaning robot based on fuzzy adaptive tuning PID
Author :
Lai, Xiaobo ; Zhu, Shiqiang ; Wu, Wenxiang
Author_Institution :
State Key Lab. of Fluid Power Transm. & Control, Univ. of Zhejiang, Hangzhou, China
Abstract :
Aiming at the controllability of the nonholonomic system, take the differential driving wheels of the cleaning robot as a research object, with universality of the nonholonomic system considered, equation of nonholonomic constraint of the cleaning robot was also derived. In addition, by means of Chow theorem, the controllability of the cleaning robot was demonstrated. And backlash in the differential driving wheels of the cleaning robot was performed. Meanwhile, causation which gives rise to the backlash was analyzed. Then, based on the idea of PID parameters fuzzy adaptive control, the fuzzy adaptive PID controller was designed. And fuzzy adaptive PID parameters on-line learning was implemented. According to MATLAB simulations and experiments, the results show that through fuzzy adaptive PID parameters algorithm, response of driving wheels of the cleaning robot is quick, and steady state errors are also narrowed. Improvement in robustness of the cleaning robot nonholonomic system has been done.
Keywords :
adaptive control; control system synthesis; controllability; fuzzy control; learning systems; mobile robots; robust control; service robots; three-term control; Chow theorem; MATLAB simulation; cleaning robot; controller design; differential driving wheel backlash; driving wheel control; fuzzy adaptive tuning PID; nonholonomic constraint; nonholonomic system controllability; online learning; robustness; steady state errors; Adaptive control; Cleaning; Controllability; Differential equations; Fuzzy control; Mobile robots; Programmable control; Robot control; Three-term control; Wheels; PID; cleaning robot; driving wheels; fuzzy adaptive;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246611