Active Disturbance Rejection Control of the Inertia Wheel Pendulum through a Tangent Linearization Approach

A flatness based approach is proposed for the linear Active Disturbance Rejection Control (ADRC) stabilization of a nonlinear inertia wheel pendulum (IWP) around its unstable equilibrium point, subject to unmodelled dynamics and disturbances. The approach exploits the cascade structure, provided by the flatness property, of the tangent linearization of the underactuated system which allows designing a high gain linear cascaded Extended State Observer (ESO) of the Generalized Proportional Integral (GPI) type. This class of linear observers is employed to build an Active Disturbance Rejection Control controller with a lower order of complexity regarding other ADRC classic schemes. Experimental results demonstrate the effectiveness and feasibility of the proposed approach, as well as a better behavior with respect to a classic control technique in the presence of disturbances.

[1]  P. Kokotovic,et al.  The peaking phenomenon and the global stabilization of nonlinear systems , 1991 .

[2]  C. D. Johnson,et al.  Accomodation of external disturbances in linear regulator and servomechanism problems , 1971 .

[3]  Leonid B. Freidovich,et al.  Virtual-Holonomic-Constraints-Based Design of Stable Oscillations of Furuta Pendulum: Theory and Experiments , 2007, IEEE Transactions on Robotics.

[4]  Fuchun Sun,et al.  Composite Intelligent Learning Control of Strict-Feedback Systems With Disturbance , 2018, IEEE Transactions on Cybernetics.

[5]  Hebertt Sira-Ramírez,et al.  Ultramodelos Globales y el Control por Rechazo Activo de Perturbaciones en Sistemas No lineales Diferencialmente Planos , 2015 .

[6]  Zenghui Wang,et al.  Quantitative analysis of critical limitation in using extended state observer , 2016 .

[7]  Ancai Zhang,et al.  Nonlinear stabilizing control of underactuated inertia wheel pendulum based on coordinate transformation and time-reverse strategy , 2016 .

[8]  Guang-Hong Yang,et al.  Adaptive Fault-Tolerant Synchronization Control of a Class of Complex Dynamical Networks With General Input Distribution Matrices and Actuator Faults , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[9]  Shankar P. Bhattacharyya,et al.  Transient response control via characteristic ratio assignment , 2003, IEEE Trans. Autom. Control..

[10]  M. Fliess,et al.  Intelligent PID controllers , 2008, 2008 16th Mediterranean Conference on Control and Automation.

[11]  R. Olfati-Saber Global stabilization of a flat underactuated system: the inertia wheel pendulum , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[12]  Guang-Hong Yang,et al.  Fault Detection in Finite Frequency Domain for Takagi-Sugeno Fuzzy Systems With Sensor Faults , 2014, IEEE Transactions on Cybernetics.

[13]  De-Gui Yang,et al.  Model-free control of quad-rotor vehicle via finite-time convergent extended state observer , 2016 .

[14]  R Madoński,et al.  Survey on methods of increasing the efficiency of extended state disturbance observers. , 2015, ISA transactions.

[15]  Reza Olfati-Saber,et al.  Nonlinear control of underactuated mechanical systems with application to robotics and aerospace vehicles , 2001 .

[16]  Zhiqiang Gao,et al.  On the centrality of disturbance rejection in automatic control. , 2014, ISA transactions.

[17]  Bing Chen,et al.  Finite time control of switched stochastic nonlinear systems , 2019, Fuzzy Sets Syst..

[18]  H. Sira-Ramirez,et al.  Generalized PI control for swinging up and balancing the inertia wheel pendulum , 2003, Proceedings of the 2003 American Control Conference, 2003..

[19]  M. Fliess,et al.  Flatness and defect of non-linear systems: introductory theory and examples , 1995 .

[20]  Leonid M. Fridman,et al.  Second order sliding mode tracking controller for inertia wheel pendulum , 2013, J. Frankl. Inst..

[21]  Jing Zhang,et al.  Adaptive Neural Network Finite-Time Output Feedback Control of Quantized Nonlinear Systems , 2018, IEEE Transactions on Cybernetics.

[22]  John Cortés-Romero,et al.  Generalized proportional integral control for periodic signals under active disturbance rejection approach. , 2014, ISA transactions.

[23]  Zhiqiang Gao,et al.  An Active Disturbance Rejection Based Approach to Vibration Suppression in Two‐Inertia Systems , 2013 .

[24]  Zhiqiang Gao,et al.  Active disturbance rejection control: a paradigm shift in feedback control system design , 2006, 2006 American Control Conference.

[25]  H. Sira-Ramirez,et al.  Linear Observer‐Based Active Disturbance Rejection Control of the Omnidirectional Mobile Robot , 2013 .

[26]  Ning Sun,et al.  Global stabilization of inertia wheel systems with a novel sliding mode-based strategy , 2016, 2016 14th International Workshop on Variable Structure Systems (VSS).

[27]  Hebertt Sira-Ramírez,et al.  Robust sigma–delta generalised proportional integral observer based control of a ‘buck’ converter with uncertain loads , 2010, Int. J. Control.

[28]  Jingqing Han,et al.  From PID to Active Disturbance Rejection Control , 2009, IEEE Trans. Ind. Electron..

[29]  Cédric Join,et al.  Model-free control , 2013, Int. J. Control.

[30]  Mario Ramírez-Neria,et al.  An active disturbance rejection control of leader-follower Thomson's jumping rings , 2013 .

[31]  Linlin Hou,et al.  Composite anti‐disturbance resilient control for Markovian jump nonlinear systems with partly unknown transition probabilities and multiple disturbances , 2017 .

[32]  Rogelio Lozano,et al.  Non-linear Control for Underactuated Mechanical Systems , 2001 .

[33]  Sunil K. Agrawal,et al.  Differentially Flat Systems , 2004 .

[34]  Bin Xu,et al.  Composite Learning Sliding Mode Control of Flexible-Link Manipulator , 2017, Complex..

[35]  Javier Moreno-Valenzuela,et al.  Motion Control of Underactuated Mechanical Systems , 2017 .

[36]  Linlin Hou,et al.  Disturbance attenuation and rejection for stochastic Markovian jump system with partially known transition probabilities , 2018, Autom..

[37]  Safya Belghith,et al.  Robust feedback control of the underactuated Inertia Wheel Inverted Pendulum under parametric uncertainties and subject to external disturbances: LMI formulation , 2017, J. Frankl. Inst..

[38]  Mario Ramírez-Neria,et al.  On the Linear Control of Underactuated Nonlinear systems via tangent Flatness and Active Disturbance Rejection Control: The Case of the Ball and Beam System , 2016 .

[39]  Alexander S. Poznyak,et al.  The Furuta's pendulum stabilization without the use of a mathematical model: Attractive Ellipsoid Method with KL-adaptation , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[40]  Guang-Hong Yang,et al.  FLS-Based Adaptive Synchronization Control of Complex Dynamical Networks With Nonlinear Couplings and State-Dependent Uncertainties , 2016, IEEE Transactions on Cybernetics.

[41]  Zhiqiang Gao,et al.  On practical applications of active disturbance rejection control , 2010, Proceedings of the 29th Chinese Control Conference.

[42]  Bin Xu,et al.  Composite Learning Control of Flexible-Link Manipulator Using NN and DOB , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[43]  Peter I. Corke,et al.  Nonlinear control of the Reaction Wheel Pendulum , 2001, Autom..