This book, written by two major figures in adaptive control, provides a wealth of material for researchers, practitioners, and students. While some researchers in adaptive control may note the absence of a particular topic, the book‘s scope represents a high-gain instrument. It can be used by designers of control systems to enhance their work through the information on many new theoretical developments, and can be used by mathematical control theory specialists to adapt their research to practical needs. The book is strongly recommended to anyone interested in adaptive control.

Adaptive Control

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L2 Gain And Passivity Techniques In Nonlinear Control

The technical feasibility of roll motion control devices has been amply demonstrated for over 100 years. Performance, however, can still fall short of expectations because of difficulties associated with control system designs, which have proven to be far from trivial due to fundamental performance limitations and large variations of the spectral characteristics of wave-induced roll motion. This tutorial paper presents an account of the development of various ship roll motion control systems together with the challenges associated with their design. It discusses the assessment of performance and the applicability of different mathematical models, and it surveys the control methods that have been implemented and validated with full scale experiments. The paper also presents an outlook on what are believed to be potential areas of research within this topic.

Ship roll damping control

As an important part of the power source, the motorized spindle is considered as the components in the high-end computer numerical control (CNC) machine tools, which is required as special attention to avoid expensive production shutdown due to the appearance of massive failures. Therefore, it is necessary to detect the incipient fault of the motorized spindle by establishing an appropriate model. This article presents a scheme for detecting the stator-winding incipient shorted-turn fault of the motor system in the motorized spindle. As the cornerstone of the model-based fault detection scheme, the electromagnetic coupling motor model in the motorized spindle with the stator-winding incipient shorted-turn fault under $dq$ coordinate is given. In the presence of electromagnetic disturbance, two aspects can make the stator-winding shorted-turn fault of the motor in motorized spindle detected earlier. First, the modified interval observer based on the established mathematical model of the motor in the motorized spindle has more design freedom than the Luenberger interval observer, which can make the residual interval generated in the optimization process have better performance and a wider range of applications. Second, the $l_{1}/H_{\infty }$ performance is introduced in the process of residual interval generation, which can make it have better electromagnetic disturbance robustness and incipient fault sensitivity. The effectiveness of the proposed scheme is illustrated by numerical simulation and is further validated by lab experiments on a 9.8-kW motorized spindle test rig.

Stator-Winding Incipient Shorted-Turn Fault Detection for Motor System in Motorized Spindle Using Modified Interval Observers

This paper deals with the extended-dissipativity-based adaptive event-triggered (AET) control problem for stochastic polynomial fuzzy singular systems (SPFSSs). The purpose of this work is to design a state-feedback controller through the AET mechanism,which not only makes the closed-loop system admissible and extended dissipative,but also saves the network resources. Firstly,with a suitable Lyapunov-Krasovskii functional and an integral inequality in stochastic setting,an AET control criterion of SPFSSs considering asynchronous premise is established to ensure the mean square admissibility and extended dissipativity of the close-loop singular system. Additionally,a simple lemma is employed to approximate the non-convex sum-of-squares (SOS) conditions with the convex SOS conditions due to the difficulty in solving the non-convex SOS design conditions. Then both the desired feedback controller gain and event-triggered weighting polynomial matrix are co-designed based on the derived criterion. Finally,simulation examples are provided to illustrate the effectiveness of the proposed approaches.

Extended-Dissipativity-Based Adaptive Event-Triggered Control for Stochastic Polynomial Fuzzy Singular Systems

Nowadays, there is a great interest in using active control methods to increase the compressor working range. The advantage of this controlling method is that the performance point can be located in the vicinity of maximum pressure and efficiency. However, most of the existing controllers require an awareness of compressor characteristic, disturbance upper bound, throttle gain, and throttle valve feature; this is why they are limited in engineering applications. In order to overcome the weakness of the existing controllers, this research employs a novel combined controlling method based on robust adaptive control, which is designed using backstepping technique because the compressor behavior is nonlinear. The increased efficiency and improved operational area for the compressor are provided by this controller without requiring any knowledge or information regarding the compressor characteristic, disturbance upper bound, throttle gain, and throttle valve feature. The adaptive controller has been used to compensate for uncertainties of the compressor characteristic and throttle valve as well as the un-modeled dynamics. Also, the controller robustness is a barrier against the time-varying disturbances in flow and pressure applied to the system. Finally, simulation results showed that the designed controller, in addition to assure the system stability, developed the compressor working range, and the convergence of system states was achieved after applying disturbance in flow and pressure.

A novel combined approach for gas compressors surge suppression based on robust adaptive control and backstepping

In this paper, the tracking control law design problem for a class of polynomial fuzzy systems subjected to external bounded disturbance is studied. The tracking control design problem is ...

Observer-based tracking controller design for a class of polynomial fuzzy systems with disturbance

In this paper, a method for fault estimation with a multiplicative model in a nonlinear system by the unscented Kalman filter is introduced. The faults appear in the form of component, sensor, and ...

Fault estimation based on ensemble unscented Kalman filter for a class of nonlinear systems with multiplicative fault

This study is aimed at introducing a new robust control strategy in developed backstepping method designed for a special class of nonlinear systems, which does not require any information on the up...

A novel robust generalized backstepping controlling method for a class of nonlinear systems

The purpose of this paper is to provide a robust solution for fault detection in the induction motor. The structure of nonlinear unknown input observer is investigated for observer design in this p...

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2019.1578296

Ali Moarefianpour

Papers

A novel combined approach for gas compressors surge suppression based on robust adaptive control and backstepping

Observer-based tracking controller design for a class of polynomial fuzzy systems with disturbance

Fault estimation based on ensemble unscented Kalman filter for a class of nonlinear systems with multiplicative fault

A novel robust generalized backstepping controlling method for a class of nonlinear systems

A novel robust fault detection method for induction motor rotor by using unknown input observer