A new approach for hybrid (PID + MRAC) adaptive controller applied to two-axes McKibben muscle manipulator: a mechanism for human-robot collaboration

Purpose This paper aims to present a new approach, called hybrid model reference adaptive controller or H-MRAC, for the hybrid controller (proportional-integral-derivative [PID + MRAC]) that will be used to control the position of a pneumatic manipulator. Design/methodology/approach It was developed a McKibben muscle using nautical mesh, latex and high-density polyethene connectors and it was constructed an elbow manipulator with two degrees of freedom, driven by these muscles. Then it was presented the H-MRAC control law based on the phenomenological characteristics of the plant, aiming at fast response and low damping. Lyapunov's theory was used as the project methodology, which ensures asymptotic stability for the control system. Findings It was developed a precise control system for a pneumatic manipulator and the results were compared to previous research. Research limitations/implications In collaborative robotics, human and machine occupy the same workspace. This research promotes the development of safer and more complacent mechatronic systems in the event of collisions. Practical implications As a practical implication, the research allows the substitution of electric motors by McKibben muscles in industrial robots with high accuracy. Social implications The pneumatic manipulator will make the human-robot physical interaction safer as it can prevent catastrophic collisions causing victims or equipment breakdown. Originality/value When compared to results in the literature, the present research showed a 37.51% and 36.74% lower global error in position tracking than MRAC and Adaptive proportional-integral-derivative (A-PID), respectively, validating its effectiveness.

[1]  Blake Hannaford,et al.  Measurement and modeling of McKibben pneumatic artificial muscles , 1996, IEEE Trans. Robotics Autom..

[2]  Tianmiao Wang,et al.  Design and experiment of a universal two-fingered hand with soft fingertips based on jamming effect , 2019, Mechanism and Machine Theory.

[3]  George Nikolakopoulos,et al.  Pneumatic artificial muscles: A switching Model Predictive Control approach , 2013 .

[4]  Ho Pham Huy Anh,et al.  Online tuning gain scheduling MIMO neural PID control of the 2-axes pneumatic artificial muscle (PAM) robot arm , 2010, Expert Syst. Appl..

[5]  Anton Palko,et al.  The use of pneumatic artificial muscles in robot construction , 2011, Ind. Robot.

[6]  Cagdas D. Onal,et al.  Adapting to Flexibility: Model Reference Adaptive Control of Soft Bending Actuators , 2017, IEEE Robotics and Automation Letters.

[7]  Toshiyuki Satoh,et al.  Mechanical equilibrium model of rubberless artificial muscle and application to position control of antagonistic drive system , 2013, Ind. Robot.

[8]  Vytautas Kaminskas,et al.  Digital self-tuning control for pressure process , 2014, 2014 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO).

[9]  Pierre Lopez,et al.  The McKibben muscle and its use in actuating robot‐arms showing similarities with human arm behaviour , 1997 .

[10]  Hongjiu Yang,et al.  Angle tracking of a pneumatic muscle actuator mechanism under varying load conditions , 2017 .

[11]  Robert Bogue Artificial muscles and soft gripping: a review of technologies and applications , 2012, Ind. Robot.

[12]  Xiangrong Shen,et al.  Nonlinear model-based control of pneumatic artificial muscle servo systems , 2010 .

[13]  Kazuhisa Ito,et al.  Displacement estimation of tap-water driven McKibben muscles , 2015, 2015 International Conference on Fluid Power and Mechatronics (FPM).

[14]  Kyoung Kwan Ahn,et al.  Hybrid control of a pneumatic artificial muscle (PAM) robot arm using an inverse NARX fuzzy model , 2011, Eng. Appl. Artif. Intell..

[15]  Antonio Bicchi,et al.  Adaptive simultaneous position and stiffness control for a soft robot arm , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Ronglei Sun,et al.  Static and dynamic characteristics of rehabilitation joint powered by pneumatic muscles , 2011, Ind. Robot.

[17]  Chaoqun Xiang,et al.  Modeling and compensation control of asymmetric hysteresis in a pneumatic artificial muscle , 2017 .

[18]  Samia Nefti-Meziani,et al.  A Novel Elbow Pneumatic Muscle Actuator for Exoskeleton Arm in Post-Stroke Rehabilitation , 2019, 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft).

[19]  Bin Wei,et al.  Design, analysis and modelling of a hybrid controller for serial robotic manipulators , 2017, Robotica.

[20]  Marcelo Henrique Souza Bomfim,et al.  POLIBOT - POwer Lines Inspection RoBOT , 2018, Ind. Robot.

[21]  J. Landaluze,et al.  Modelling in Modelica and position control of a 1-DoF set-up powered by pneumatic muscles , 2010 .