Neural adaptive PID formation control of car-like mobile robots without velocity measurements

2017 ◽  
Vol 31 (18) ◽  
pp. 947-964 ◽  
Author(s):  
Khoshnam Shojaei
2018 ◽  
Vol 34 (2) ◽  
pp. 434-446 ◽  
Author(s):  
Xinwu Liang ◽  
Hesheng Wang ◽  
Yun-Hui Liu ◽  
Weidong Chen ◽  
Tao Liu

2016 ◽  
Vol 173 ◽  
pp. 1485-1494 ◽  
Author(s):  
Zhaoxia Peng ◽  
Shichun Yang ◽  
Guoguang Wen ◽  
Ahmed Rahmani ◽  
Yongguang Yu

Robotica ◽  
2014 ◽  
Vol 33 (1) ◽  
pp. 87-105 ◽  
Author(s):  
Khoshnam Shojaei

SUMMARYMany research works on the control of nonholonomic wheeled mobile robots (WMRs) do not consider the actuator saturation problem and the absence of velocity sensors in practice. The actuator saturation deteriorates the tracking performance of the controller, and the use of velocity sensors increases the cost and weight of WMR systems. This paper simultaneously addresses these problems by designing a saturated output feedback controller for uncertain nonholonomic WMRs. First, a second-order input–output model of nonholonomic WMRs is developed by defining a suitable set of output equations. Then a saturated adaptive robust tracking controller is proposed without velocity measurements. For this purpose, a nonlinear saturated observer is used to estimate robot velocities. The risk of actuator saturation is effectively reduced by utilizing saturation functions in the design of the observer–controller scheme. Semi-global uniform ultimate boundedness of error signals is guarantied by the Lyapunov stability analyses. Finally, simulation results are provided to show the effectiveness of the proposed controller. Compared with one recent work of the author, a comparative study is also presented to illustrate that the proposed saturated controller is more effective when WMR actuators are subjected to saturation.


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