A modified asymmetric generalized Prandtl–Ishlinskii model for characterizing the irregular asymmetric hysteresis of self-made pneumatic muscle actuators

Abstract Reducing the errors of hysteresis models is of great significance for improving the accuracy of controlling pneumatic muscle actuators (PMAs). However, the irregularity and asymmetry of the hysteresis loops of PMAs limit the modeling accuracy of existing models. This paper proposes a modified asymmetric generalized Prandtl–Ishlinskii (MAGPI) model for the irregular asymmetric hysteresis characterization of PMAs, which adopts cascading operators. The first element in the cascade is the superposition of two weighted generalized play operators with different parameters; the second element is the superposition of weighted dead-zone operators. The effectiveness of the proposed approach is validated by experimental testing using Festo commercial and self-made PMAs, where its capacity to capture the irregular asymmetric hysteresis relationship between length and pressure parameters has been examined by generating different input pressure signals. The experimental results prove that the modeling capacity of the MAGPI model is better to characterize the complex hysteresis loops of PMAs, and this strength is more apparent when the hysteresis loops become irregular. Meanwhile, a crosswise comparative study on three envelope functions investigating modeling accuracy reveals that the newly introduced arc tangent function exhibits better performance than the traditional exponential and hyperbolic tangent functions.

[1]  Xizhe Zang,et al.  Position control of a single pneumatic artificial muscle with hysteresis compensation based on modified Prandtl-Ishlinskii model. , 2017, Bio-medical materials and engineering.

[2]  Xinyu Liu,et al.  Modelling Length/Pressure Hysteresis of a Pneumatic Artificial Muscle using a Modified Prandtl-Ishlinskii Model , 2017 .

[3]  Óscar Oballe-Peinado,et al.  Hysteresis correction of tactile sensor response with a generalized Prandtl–Ishlinskii model , 2012 .

[4]  M. Ruderman Presliding hysteresis damping of LuGre and Maxwell-slip friction models , 2015 .

[5]  Francesco Amato,et al.  Model-based tracking control design, implementation of embedded digital controller and testing of a biomechatronic device for robotic rehabilitation , 2018 .

[6]  Jizhuang Fan,et al.  Position Control of a Pneumatic Muscle Actuator Using RBF Neural Network Tuned PID Controller , 2015 .

[7]  John S. Baras,et al.  Adaptive identification and control of hysteresis in smart materials , 2005, IEEE Transactions on Automatic Control.

[8]  Thanh Nho Do,et al.  A survey on hysteresis modeling, identification and control , 2014 .

[9]  Dijian Chen,et al.  Comparison of Different Schemes for Motion Control of Pneumatic Artificial Muscle Using Fast Switching Valve , 2019, ICIRA.

[10]  Dennis S. Bernstein,et al.  Semilinear Duhem model for rate-independent and rate-dependent hysteresis , 2005, IEEE Transactions on Automatic Control.

[11]  Bertrand Tondu,et al.  Modelling of the McKibben artificial muscle: A review , 2012 .

[12]  Jiawei Zang,et al.  Hysteresis Modeling and Compensation of Pneumatic Artificial Muscles using the Generalized Prandtl-Ishlinskii Model , 2017 .

[13]  C. Su,et al.  An Analytical Generalized Prandtl–Ishlinskii Model Inversion for Hysteresis Compensation in Micropositioning Control , 2011, IEEE/ASME Transactions on Mechatronics.

[14]  Mohammed Ismail,et al.  The Hysteresis Bouc-Wen Model, a Survey , 2009 .

[15]  Jiangping Mei,et al.  Hysteresis modeling and trajectory tracking control of the pneumatic muscle actuator using modified Prandtl–Ishlinskii model , 2018 .

[16]  Chun-Yi Su,et al.  A generalized Prandtl–Ishlinskii model for characterizing the hysteresis and saturation nonlinearities of smart actuators , 2009 .

[17]  Jiangping Mei,et al.  Modeling and compensation of asymmetric hysteresis for pneumatic artificial muscles with a modified generalized Prandtl–Ishlinskii model , 2018, Mechatronics.

[18]  Armen Der Kiureghian,et al.  Generalized Bouc-Wen model for highly asymmetric hysteresis , 2006 .

[19]  K. Kuhnen,et al.  Inverse feedforward controller for complex hysteretic nonlinearities in smart-material systems , 2001 .

[20]  Eduardo Rocon,et al.  Biologically based design of an actuator system for a knee–ankle–foot orthosis , 2009 .

[21]  Takahiro Kosaki,et al.  Adaptive Hysteresis Compensation with a Dynamic Hysteresis Model for Control of a Pneumatic Muscle Actuator , 2012 .

[22]  Ye Ding,et al.  Modeling and compensation of hysteresis for pneumatic artificial muscles based on Gaussian mixture models , 2019, Science China Technological Sciences.

[23]  Igor Maciejewski,et al.  Modeling and vibration control of an active horizontal seat suspension with pneumatic muscles , 2018 .

[24]  Miaolei Zhou,et al.  Modified KP Model for Hysteresis of Magnetic Shape Memory Alloy Actuator , 2015 .

[25]  Qingsong Ai,et al.  Hammerstein model for hysteresis characteristics of pneumatic muscle actuators , 2019, International Journal of Intelligent Robotics and Applications.

[26]  Li-Min Zhu,et al.  Modeling and Compensation of Asymmetric Hysteresis Nonlinearity for Piezoceramic Actuators With a Modified Prandtl–Ishlinskii Model , 2014, IEEE Transactions on Industrial Electronics.

[27]  Livija Cveticanin,et al.  Dynamic modeling of a pneumatic muscle actuator with two-direction motion , 2015 .

[28]  Klaus Kuhnen,et al.  Modeling, Identification and Compensation of Complex Hysteretic Nonlinearities: A Modified Prandtl - Ishlinskii Approach , 2003, Eur. J. Control.

[29]  Yanhe Zhu,et al.  One Nonlinear PID Control to Improve the Control Performance of a Manipulator Actuated by a Pneumatic Muscle Actuator , 2014 .

[30]  Mohammad Al Janaideh,et al.  Generalized Prandtl-Ishlinskii hysteresis model: Hysteresis modeling and its inverse for compensation in smart actuators , 2008, 2008 47th IEEE Conference on Decision and Control.

[31]  I. Maniu,et al.  Design and control solutions for haptic elbow exoskeleton module used in space telerobotics , 2017 .

[32]  Qiang Cao,et al.  Position solution of a novel four-DOFs self-aligning exoskeleton mechanism for upper limb rehabilitation , 2019, Mechanism and Machine Theory.

[33]  Walter Schumacher,et al.  Model-based controller design for antagonistic pairs of fluidic muscles in manipulator motion control , 2012, 2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR).

[34]  Fuzhong Nian,et al.  An Adaptive Particle Swarm Optimization Algorithm Based on Directed Weighted Complex Network , 2014 .

[35]  Jun Zhang,et al.  Optimal compression of generalized Prandtl-Ishlinskii hysteresis models , 2015, Autom..

[36]  T.-J. Yeh,et al.  Control of McKibben pneumatic muscles for a power-assist, lower-limb orthosis , 2010 .

[37]  Habib Dhahri,et al.  Implementation and Identification of Preisach Parameters: Comparison Between Genetic Algorithm, Particle Swarm Optimization, and Levenberg–Marquardt Algorithm , 2019, Arabian Journal for Science and Engineering.

[38]  Samia Nefti-Meziani,et al.  A Comprehensive Review of Swarm Optimization Algorithms , 2015, PloS one.

[39]  T. Tjahjowidodo,et al.  A New Approach to Modeling Hysteresis in a Pneumatic Artificial Muscle Using The Maxwell-Slip Model , 2011, IEEE/ASME Transactions on Mechatronics.

[40]  Qingsong Ai,et al.  Robust Iterative Feedback Tuning Control of a Compliant Rehabilitation Robot for Repetitive Ankle Training , 2017, IEEE/ASME Transactions on Mechatronics.

[41]  Chih-Jer Lin,et al.  Tracking control of a biaxial piezo-actuated positioning stage using generalized Duhem model , 2012, Comput. Math. Appl..

[42]  Yi Sun,et al.  Development of continuum manipulator actuated by thin McKibben pneumatic artificial muscle , 2019, Mechatronics.

[43]  Fayçal Ikhouane,et al.  A Survey of the Hysteretic Duhem Model , 2018 .

[44]  A. Blanco-Ortega,et al.  Characterization of pneumatic muscles and their use for the position control of a mechatronic finger , 2017 .

[45]  Harald Aschemann,et al.  Model-based compensation of hysteresis in the force characteristic of pneumatic muscles , 2012, 2012 12th IEEE International Workshop on Advanced Motion Control (AMC).

[46]  Limin Zhu,et al.  Real-time inverse hysteresis compensation of piezoelectric actuators with a modified Prandtl-Ishlinskii model. , 2012, The Review of scientific instruments.

[47]  Preisach models of hysteresis driven by Markovian input processes. , 2017, Physical review. E.

[48]  Xiaobo Tan,et al.  Modeling and inverse compensation of hysteresis in vanadium dioxide using an extended generalized Prandtl-Ishlinskii model , 2014 .

[49]  Haitao Liu,et al.  Motion Control of Pneumatic Muscle Actuator Using Fast Switching Valve , 2016 .