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Adaptive control laws are modified to obtain robust adaptive control schemes in the presence of disturbance. One of the well known modifications in robust adaptive control is the e-modification scheme; this modification has always been developed based on Lyapunov stability theory using the standard form of quadratic Lyapunov function (QLF). In contrast to such development and as a continuation to ...Show More
This paper presents a constructive robust adaptive nonlinear control scheme which can be regarded as a robustification of the now popular adaptive backstepping algorithm. The allowed class of uncertainties includes nonlinearly appearing parametric uncertainty, uncertain nonlinearities, and unmeasured input-to-state stable dynamics. The adaptive control laws proposed in this paper do not require an...Show More
For improving the transient stability of AC/DC interconnected power systems, the input-output feedback model of AC/DC interconnected power systems is constructed and the decentralized coordinated robust adaptive control scheme based on WAMS is developed. The additional control of DC lines with unmodeled dynamics only uses a few signals and its design is simple, furthermore it can obviously improve...Show More
In literature, design of model reference adaptive control (MRAC) schemes and adaptive laws has always been developed based on Lyapunov stability theory. Over the past few decades, it has been a common practice to use quadratic Lyapunov functions (QLFs). In contrast to such development and as a continuation to the research effort earlier published by the same authors, this paper involves the use of...Show More
The inherent nonlinearities and modeling uncertainties constrain the direct-drive electrohydraulic systems to attain a high-accuracy tracking level. To surmount the above obstacles, this paper proposes an adaptive robust integral asymptotic tracking control strategy with a nonlinear disturbance observer (NDO) for a double-rod electro-hydrostatic actuator (EHA). First, an NDO is designed to estimat...Show More
An improved robust nonlinear model predictive control scheme with robust one-step set is proposed for a class of nonlinear systems with bounded disturbances to reduce computation complexity of online optimization. Firstly, the robust control invariant set is constructed based on bounded linearization errors and control invariant tube set control strategy. Secondly, based on the robust N-step stabi...Show More
Aiming at the characteristics of automobile braking and the performance demands of ABS, the mathematic model is founded. ABS control strategy based on robust and fuzzy logic hybrid control is advanced. The fuzzy and robust control simulation model is founded with Matlab/Simulink for automobile ABS. The model has better robustness, good steady-state characteristics, strong anti-interference ability...Show More
We consider a multivariable linear system with additive inputs and noise governed by a stochastic process with independent increments. We allow the parameters of the system to change in time. We assume that the exact form of the coefficients is not known, rather the intervals within which these coefficients fluctuate are given. In addition, we do not know the exact state of the system, rather we o...Show More
The design of current and speed controllers for permanent magnet brushless DC (PMBLDC) motor drive remains to large extent a mystery in the motor drives field. A precise speed control of PMBLDC motor is complex due to non linear coupling between winding currents and rotor speed as well as non-linearity present in the developed torque due to magnetic saturation of the rotor. This paper presents a n...Show More
This paper is concerned with the robust stability and output tracking problems of perturbed nonlinear feedback control systems with noise disturbance using operator-based robust right coprime factorization method. After factorization by isomorphism, the robustness of the perturbed plant can be linked into the robust stability of the whole nonlinear feedback systems with noise disturbance. By desig...Show More
Application of mu theory in the electrohydraulic load simulator is studied. Robust control strategy of the electrohydraulic load simulator is put forward. The electrohydraulic load simulator is a complicated mechanical-electronic-hydraulic compound system, moreover it is a strong coupling and time-varying controlled object. Synthetically considering uncertainties such as parameter perturbations, m...Show More
In this paper, we present a new finite-time robust Iterative Learning Control (ILC) strategy which can guarantee robust stability of the ILC controlled system in presence of model uncertainty as quantified by an additive or multiplicative uncertainty model. The presented finite-time robust ILC controller distinguishes itself from other robust ILC controllers by 1) exploiting non-causality in its c...Show More
The performance of bidirectional wireless power transmission (BWPT) systems, based on inductive power transmission (IPT) technology, is significantly affected by coil misalignment and load changes. In this paper, we employ an H∞ robust control strategy. Initially, we establish the nominal Generalized State Space Averaging model and an uncertainty model for the system. Subsequently, a robust contro...Show More
Considering the dynamic characteristics of the deformation zone, a new model of combined shape and thickness system in rolling process was proposed, regarding bending force and gauge as the main factors. Taking various kinds of secondary causes, perturbation and disturbance into consideration, robust control methods were brought in. A mathematic model was proposed based on field data, then static ...Show More
In this correspondence paper, the robust stabilization of a class of discrete-time nonlinear systems with uncertainties is investigated by using an approximate optimal control approach. The robust control problem is transformed into an optimal control problem under some proper restrictions on the bound of the uncertainties. For the purpose of dealing with the transformed optimal control, the discr...Show More
A hybrid H2/H∞ robust control strategy is proposed and designed for a bilateral long primary magnetically levitated permanent magnet linear synchronous motor, which effectively improves the robustness and dynamics of the motor levitation subsystem. Firstly, the operation mechanism of the bilateral long primary magnet levitation permanent magnet linear synchronous motor is analyzed, the mathematica...Show More
A nonlinear robust control-system design framework predicated on a hierarchical stability-based switching controller architecture is developed. Specifically, using equilibria-dependent Lyapunov functions a hierarchical nonlinear robust control strategy is developed that robustly stabilizes a given nonlinear system over a prescribed range of system uncertainty by robustly stabilizing a collection o...Show More
Hydropower is a clean energy resource, produced by complex, non-linear and time-variant hydraulic-generator regulated system (HGRS). This system is designed with several hydraulic, electrical and mechanical dynamics. Therefore, constructing a proper control technique for such an intricate system is still a challenging problem. Turbine governor works as a controller, whereas, the hydro-generating u...Show More
A model for Chinese medicine sugar precipitation is designed, without considering crystal size distribution. Adaptive robust control algorithm is presented for the uncertain nonlinear system based on Lyapunov's stability theory. The kernel idea is model decomposition: adaptive control algorithm is designed for attenuating the parameter uncertainties; robust control algorithm is designed for elimin...Show More
In this paper, a robust control strategy based on model reference control is proposed to achieve the high-performance speed control when the moment of inertia is variable. This strategy consists of a model reference controller and a robust compensator. The model reference controller is proposed to achieve the ideal dynamic response and the robust compensator is proposed to compensate the effect of...Show More
In single-phase grid-connected converters, unexpected perturbations and variations of system parameters can deteriorate the performance of grid current and dc-link voltage control and even jeopardize the stability and operation of loads. In this paper, a robust control strategy for the single-phase grid-connected converter operating under multiple system perturbations is proposed. An adaptive quas...Show More
PID control schemes still continue to be widely used for most industrial control systems. This is mainly because PID controllers have simple control structures, and are simple to maintain and tune. However, it is difficult to find a set of suitable control parameters in the case of time-varying and/or nonlinear systems. In this paper, a new robust PD controller design scheme is proposed, which uti...Show More
The unstable mechanical system used to test the robust control strategy is a beam and ball system. The main nonlinearities are due to stiction and friction in the servomotor which moves the beam, the main uncertainties are due to the ball size variations. The beam position is perturbed by external disturbances acting on the beam. The proposed robust control strategy compensates the static friction...Show More
Stability conditions for a perturbed plant control by a conventional robust controller and a neurocontroller are presented. The neural net-based direct inverse controller is proposed to aid the robust controller to further suppress the output error resulting from the unmodeled residuals. A procedure for determining the permissible network's output under which the overall closed-loop system will be...Show More