Adaptive Backstepping Based Sensor and Actuator Fault Tolerant Control of a Manipulator

The purpose of this research is to propose and design fault tolerant control (FTC) scheme for a robotic manipulator, to increase its reliability and performance in the presence of actuator and sensor faults. To achieve the said objectives, a hybrid control law relying on observer and hardware redundancy-based technique has been formulated in this paper. Non-linear observers are designed to estimate the unknown states. The comparison of actual states and observed states lead to fault identification, this is followed by fault tolerance accomplished with redundant sensors. For actuator fault tolerance, fault estimation and controller reconfiguration techniques are applied in addition to nominal control law. Fault estimation is based on adaptive back-stepping technique and it is further used to construct actuator fault tolerant control. The proposed method is applied to a six degree of freedom (DOF) robotic manipulator model and the effectiveness of this technique is verified by LabVIEW simulations. Simulation results witnessed the improved tracking performance in the presence of actuator and sensor failures.

[1]  Alkan Alkaya,et al.  Luenberger observer-based sensor fault detection: online application to DC motor , 2014 .

[2]  Malek Ghanes,et al.  Sensorless Fault Tolerant Control Based On Backstepping Strategy For Induction Motors , 2011 .

[3]  Raza Ul Islam,et al.  Automating industrial tasks through mechatronic systems – a review of robotics in industrial perspective , 2016 .

[4]  Chenglei Nie,et al.  Observer-based robust fault estimation for fault-tolerant control , 2012 .

[5]  Jamshed Iqbal,et al.  Nonlinear Control of a Flexible Joint Robotic Manipulator with Experimental Validation , 2018 .

[6]  Youmin Zhang,et al.  Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..

[7]  Raza Ul Islam,et al.  An open-source multi-DOF articulated robotic educational platform for autonomous object manipulation , 2014 .

[8]  Chee Pin Tan,et al.  Tolerance Towards Sensor Faults: An Application to a Flexible Arm Manipulator , 2006 .

[9]  Adel Tellili,et al.  Reconfigurable control of flexible joint robot with actuator fault and uncertainty , 2019, Journal of Electrical Engineering.

[10]  G. Oriolo,et al.  Robotics: Modelling, Planning and Control , 2008 .

[11]  Inseok Hwang,et al.  A Survey of Fault Detection, Isolation, and Reconfiguration Methods , 2010, IEEE Transactions on Control Systems Technology.

[12]  Yixin Diao,et al.  Intelligent fault-tolerant control using adaptive and learning methods , 2002 .

[13]  Junqi Yang,et al.  Fault detection and isolation design for uncertain nonlinear systems based on full-order, reduced-order and high-order high-gain sliding-mode observers , 2013, Int. J. Control.

[14]  Nikos G. Tsagarakis,et al.  A novel exoskeleton robotic system for hand rehabilitation - Conceptualization to prototyping , 2014 .

[15]  Guang-Hong Yang,et al.  Reliable output-feedback controller design for discrete-time linear systems: an iterative LMI approach , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).