Disturbance observers and applications

The control performance of practical systems has inevitably suffered from various disturbances and uncertainties, including external environmental disturbances, unknown model uncertainties (possibly caused by unmodelled dynamics) and parameter perturbations. The development of disturbance observation and attenuation methods and technologies has received a great deal of attention for practical engineering systems. The new generations of control systems require increasingly higher control performance accuracy, and thus higher disturbance rejection abilities. In addition, the complexity of practical systems is much greater than those currently dealt with, for example, the extremely high dimensionality of these complex systems. This will result in the degraded disturbance rejection performance of the existing methods and technologies. The main objective of this Special Issue (SI) on ‘Disturbance Observers and Applications’ of the Transactions of the Institute of Measurement and Control is to present recent advances in disturbance observers and applications for practical control systems. The present SI will facilitate faster uptake of advanced disturbance observer technologies, as well as addressing new challenges arising from complex control systems, in order to give rise to new theories and methodologies. The interplay of disturbance observers and complex practical systems will largely advance the knowledge in both fields, resulting in much smarter methodologies and technologies to enhance the performance of the practical control systems. This SI consists of 16 papers selected from many highquality submissions through a strict peer-reviewed procedure. It covers some recent new progress in disturbance estimation and attenuations in both theoretical and application aspects. The contributions of the selected papers are categorised into four categories, which are briefly summarised as follows.

[1]  Michael Z. Q. Chen,et al.  Observer-based semi-global consensus of discrete-time multi-agent systems with input saturation , 2016 .

[2]  Xiali Li,et al.  Disturbance observer based composite speed controller design for PMSM system with mismatched disturbances , 2016 .

[3]  Liuping Wang,et al.  Control design methods with anti-windup mechanism for disturbance rejection and reference following , 2016 .

[4]  Lei Guo,et al.  A composite guidance law with enhanced anti-disturbance capability for Mars pinpoint landing , 2016 .

[5]  Shrivijay B. Phadke,et al.  State-and-disturbance-observer-based sliding mode control of magnetic levitation systems , 2016 .

[6]  Wei Yao,et al.  Perturbation Observer based Adaptive Passive Control for Damping Improvement of VSC-MTDC Systems , 2016 .

[7]  R. Marino,et al.  Adaptive disturbance rejection for unknown stable linear systems , 2016 .

[8]  Haibin Sun,et al.  Anti-disturbance autopilot design for missile system via finite time integral sliding mode control method and nonlinear disturbance observer technique , 2016 .

[9]  Chuan-Ke Zhang,et al.  Perturbation observer-based adaptive passive control for nonlinear systems with uncertainties and disturbances , 2018, Trans. Inst. Meas. Control.

[10]  Jun Yang,et al.  Reduced-order disturbance observer design for discrete-time linear stochastic systems , 2016 .

[11]  Jianzhong Qiao,et al.  Adaptive fault tolerant attitude control based on a disturbance observer for satellites with multiple disturbances , 2016 .

[12]  Mohd Azizi Abdul Rahman,et al.  Robust attitude control design for a low-cost hexarotor micro aerial vehicle , 2016 .

[13]  Mou Chen,et al.  Trajectory tracking control for an indoor quadrotor UAV based on the disturbance observer , 2016 .

[14]  Alon Kuperman.  Uncertainty and disturbance estimator-assisted control of a two-axis active magnetic bearing , 2016 .

[15]  Chao Li,et al.  Disturbance rejection control for multiple-effect falling-film evaporator based on disturbance observer , 2016 .

[16]  Xinjiang Wei,et al.  Composite anti-disturbance control for a class of uncertain nonlinear systems via a disturbance observer , 2016 .

[17]  Ning Yang,et al.  Sensor-less active uncertainty attenuation control for DC–DC buck power converters with the presence of involved parameter variations , 2016 .