Active Disturbance Rejection Control for the Ranger Neutral Buoyancy Vehicle: A Delta Operator Approach

In this paper, an active disturbance rejection control (ADRC) method is investigated for the ranger neutral buoyancy vehicle (RNBV) via a delta operator approach. In order to eliminate unmodeled nonlinearities and exogenous disturbances for a neutral environment, a novel delta-domain ADRC method is put forward to achieve the tracking control performance of the RNBV. In the proposed ADRC method, an extended-state-observer (ESO) is designed in the delta domain to estimate the so-called total disturbance that reflects the aggregated impacts of the nonlinearities and disturbances. Then, by using the estimates provided by the ESO, a composite controller is developed such that the closed-loop system can be input-to-state stable. It is shown in practical experiments that the proposed delta-domain ADRC outperforms its discrete-domain counterpart in consideration of the finite-word-length effects.

[1]  Fang Liu,et al.  A Two-Layer Active Disturbance Rejection Controller Design for Load Frequency Control of Interconnected Power System , 2016, IEEE Transactions on Power Systems.

[2]  John Cortés-Romero,et al.  A Delta Operator Approach for the Discrete-Time Active Disturbance Rejection Control on Induction Motors , 2013 .

[3]  Yuanqing Xia,et al.  Active disturbance rejection and predictive control strategy for a quadrotor helicopter , 2016 .

[4]  Franck Plestan,et al.  Delay Estimation and Predictive Control of Uncertain Systems With Input Delay: Application to a DC Motor , 2016, IEEE Transactions on Industrial Electronics.

[5]  Jeang-Lin Chang,et al.  Applying discrete-time proportional Integral observers for state and disturbance estimations , 2006, IEEE Trans. Autom. Control..

[6]  Yuanqing Xia,et al.  Lateral Path Tracking Control of Autonomous Land Vehicle Based on ADRC and Differential Flatness , 2016, IEEE Transactions on Industrial Electronics.

[7]  Caifen Fu,et al.  Linear Active Disturbance-Rejection Control: Analysis and Tuning via IMC , 2016, IEEE Transactions on Industrial Electronics.

[8]  Dragan Nesic,et al.  Changing supply functions in input to state stable systems: the discrete-time case , 2001, IEEE Trans. Autom. Control..

[9]  Craig R. Carignan,et al.  The reaction stabilization of on-orbit robots , 2000 .

[10]  Lei Guo,et al.  Disturbance-Observer-Based Control and Related Methods—An Overview , 2016, IEEE Transactions on Industrial Electronics.

[11]  Shumin Fei,et al.  Robust stabilization and l2-gain control of uncertain discrete-time constrained piecewise-affine systems , 2014 .

[12]  Jianping Yuan,et al.  An improving method for micro-G simulation with magnetism–buoyancy hybrid system , 2016 .

[13]  Jianping Yuan,et al.  An innovative method for simulating microgravity effects through combining electromagnetic force and buoyancy , 2015 .

[14]  Yuri B. Shtessel,et al.  Continuous Finite-Time Higher Order Output Regulators for Systems With Unmatched Unbounded Disturbances , 2016, IEEE Transactions on Industrial Electronics.

[15]  Eduardo Sontag,et al.  Input-to-state stability for discrete-time nonlinear systems , 1999, at - Automatisierungstechnik.

[16]  Yuanqing Xia,et al.  Active disturbance rejection control for drag tracking in mars entry guidance , 2014 .

[17]  Zhengtao Ding,et al.  Consensus Disturbance Rejection With Disturbance Observers , 2015, IEEE Transactions on Industrial Electronics.

[18]  James Lam,et al.  Distributed active anti-disturbance output consensus algorithms for higher-order multi-agent systems with mismatched disturbances , 2016, Autom..

[19]  Yang Liu,et al.  Filtering and fault detection for nonlinear systems with polynomial approximation , 2015, Autom..

[20]  Peng Shi,et al.  Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear Systems , 2015, IEEE Transactions on Industrial Electronics.

[21]  Congzhi Huang,et al.  Flatness-based active disturbance rejection control for linear systems with unknown time-varying coefficients , 2015, Int. J. Control.

[22]  Yuanqing Xia,et al.  Analysis and Synthesis of Delta Operator Systems , 2012 .

[23]  Lei Zou,et al.  Observer-based H∞ control of networked systems with stochastic communication protocol: The finite-horizon case , 2016, Autom..

[24]  H. Sira-Ramirez,et al.  Robust Passivity-Based Control of a Buck–Boost-Converter/DC-Motor System: An Active Disturbance Rejection Approach , 2012, IEEE Transactions on Industry Applications.

[25]  Hamid Reza Karimi,et al.  Disturbance observer-based disturbance attenuation control for a class of stochastic systems , 2016, Autom..

[26]  Fuwen Yang,et al.  H∞ control for networked systems with random communication delays , 2006, IEEE Trans. Autom. Control..

[27]  G. Goodwin,et al.  Improved finite word length characteristics in digital control using delta operators , 1986 .

[28]  Dimitris G. Manolakis,et al.  Applied Digital Signal Processing: Theory and Practice , 2011 .

[29]  Lu Wang,et al.  Robust Motion Control System Design With Scheduled Disturbance Observer , 2016, IEEE Transactions on Industrial Electronics.

[30]  Yuanqing Xia,et al.  Application of active disturbance rejection control in tank gun control system , 2011, 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems (CIS).

[31]  Yuanqing Xia,et al.  Active Disturbance Rejection Position Control for a Magnetic Rodless Pneumatic Cylinder , 2015, IEEE Transactions on Industrial Electronics.