Fault detection, isolation and reconfiguration of a bipedal-legged robot

This paper deals with the fault detection, isolation (FDI) and reconfiguration of the locomotion of a bipedal-legged robot. Initially, the planar model of the legged robot in the vertical plane is developed using a bond graph (BG) approach. Then, the planar BG model of the legged robot is extended to the three-dimensional legged robot. Two individual motors are used to actuate the prismatic leg of the robot for locomotion. The BG simulation provides results for straight walking based on an oscillating cylinder mechanism and the turning motion of the legged robot are discussed. The prototype model of the legged robot is also developed and experimentation is done for straight and inclined plane applications. Finally, an FDI technique for the three-dimensional model of a legged robot is developed for the generation of fault indicators (i.e., analytical redundancy relations; ARRs) in the presence of system failure. The ARRs are derived from the BG model of the legged robot during the occurrences of the fault. The experimental results are validated with the simulation results for FDI and reconfiguration when the robot manoeuvres in a U-shaped path. The real-time fault diagnosis and reconfiguration for locomotion of the legged robot is possible with this FDI approach.

[1]  Arun K. Samantaray,et al.  Model based fault diagnosis, fault tolerant control and reconfiguration of hydraulic and thermo-fluid processes using analytical redundancy , 2009, Int. J. Autom. Control..

[2]  Lina,et al.  Fuzzy-Appearance Manifold and Fuzzy-Nearest Distance Calculation for Model-Less 3D Pose Estimation of Degraded Face Images , 2013 .

[3]  Peter J. Gawthrop,et al.  Bond graphs: A representation for mechatronic systems , 1991 .

[4]  Arun K. Samantaray,et al.  Bond graph model-based evaluation of a sliding mode controller for a combined regenerative and antilock braking system , 2011 .

[5]  Pushparaj Mani Pathak,et al.  Reconfiguration of four legged walking robot for actuator faults , 2010, SpringSim.

[6]  John M. Hollerbach,et al.  A Recursive Lagrangian Formulation of Maniputator Dynamics and a Comparative Study of Dynamics Formulation Complexity , 1980, IEEE Transactions on Systems, Man, and Cybernetics.

[7]  Belkacem Ould Bouamama,et al.  Model-based Process Supervision: A Bond Graph Approach , 2008 .

[8]  Pushparaj Mani Pathak,et al.  Impedance Control of Space Robots Using Passive Degrees of Freedom in Controller Domain , 2005 .

[9]  Chao Chen,et al.  A Stable Gait Planning Method of Biped Robot Based on Ankle motion Smooth Fitting , 2018 .

[10]  Jung-Min Yang.  Two-phase discontinuous gaits for quadruped walking machines with a failed leg , 2008, Robotics Auton. Syst..

[11]  Wen-Yo Lee,et al.  Planning and Control of Stable Walking for a 3D Bipedal Robot , 2012 .

[12]  Erik Maehle,et al.  Swarm intelligence for self-reconfiguring walking robot , 2008, 2008 IEEE Swarm Intelligence Symposium.

[13]  Jung-Min Yang.  Omnidirectional walking of legged robots with a failed leg , 2008, Math. Comput. Model..

[14]  Pushparaj Mani Pathak,et al.  Control of compliant legged quadruped robots in the workspace , 2015, Simul..

[15]  Wei-guo Zhang,et al.  A Method for Comprehensive Diagnosis of Sensors of Flight Control System Using Analytical Redundancy , 2010, 2010 International Conference on Electrical and Control Engineering.

[16]  Min Huaqing,et al.  Modelling and control for a bipedal robot on slopes , 2013 .

[17]  E. Haug,et al.  A recursive formulation constrained mechanical system dynamics. I: Open loop systems , 1987 .

[18]  Nader Meskin,et al.  Design and real-time implementation of actuator fault-tolerant control for differential-drive mobile robots based on multiple-model approach , 2018, J. Syst. Control. Eng..

[19]  R. Merzouki,et al.  Reconfiguration of Directional Handling of an Autonomous Vehicle , 2008, 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems.

[20]  Pushparaj Mani Pathak,et al.  Fault accommodation in compliant quadruped robot through a moving appendage mechanism , 2018 .

[21]  Arif Ankarali,et al.  Fuzzy Logic Velocity Control of a Biped Robot Locomotion and Simulation , 2012 .

[22]  A. Banerjee.  Block-diagonal equations for multibody elastodynamics with geometric stiffness and constraints , 1993 .

[23]  Ahmed Rahmani,et al.  Bond graph aided design of controlled systems , 1999, Simul. Pract. Theory.

[24]  Innchyn Her,et al.  Comparison of Alternative Gaits for Multiped Robots with Severed Legs , 2012 .

[25]  Javaid Iqbal,et al.  On the Improvement of Multi-Legged Locomotion over Difficult Terrains Using a Balance Stabilization Method: , 2012 .

[26]  Arun K. Samantaray,et al.  Bond graph modeling of planar prismatic joints , 2012 .

[27]  Manuel Silva,et al.  Multi-legged Walking Robot Modelling in MATLAB/SimmechanicsTM and Its Simulation , 2013, 2013 8th EUROSIM Congress on Modelling and Simulation.

[28]  Alessandro Astolfi,et al.  The Design and Control of a Bipedal Robot with Sensory Feedback , 2013 .

[29]  B. B. Kulakov,et al.  Hydraulic Bipedal Robots Locomotion Mathematical Modeling , 2015 .

[30]  Pushparaj Mani Pathak,et al.  Reconfiguration of four-legged walking robot for actuator faults , 2012, J. Syst. Control. Eng..

[31]  M. Miura-Mattausch,et al.  Machine learning algorithm for autonomous control of walking robot , 2018, 2018 International Symposium on Devices, Circuits and Systems (ISDCS).

[32]  Jun-Ho Oh,et al.  Biped robot state estimation using compliant inverted pendulum model , 2018, Robotics Auton. Syst..