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This paper proposes a class of optimal and robust controller for the islanded AC microgrid (MG) system which is composed of wind turbine generator (WTG), photovoltaic generator (PV), fuel cell (FC), micro turbine (MT), battery energy storage (BES) and loads. The proposed controller has two main functions: rationally utilizing MT, FC and BES, and regulating the AC bus frequency deviation. For such...
Article deals with the problem of simulation modeling of robust control system for nonlinear plants with the input signal saturation, functioning under a priori uncertainty conditions and in the presence of several statement delays. With the help of computational experiments, the quality of the control system operation under various initial conditions of the controlled plant is illustrated.
According to uncertainties of the load and leakage inductance in the output transformer, this paper uses the μ analysis and synthesis method to design a robust controller for the three-phase medium frequency power supply. The controller not only enables the closed-loop system to do the non-static error tracking and to be asymptotic stability, but also is good in robustness and able to suppress the...
Control theory can establish properties of systems which hold with all signals within the system and hence cannot be proven by simulation. The most basic of such property is the stability of a control subsystem or the overall system. Other examples are statements on robust control performance in the face of dynamical uncertainties and disturbances in sensing and actuation. Until now these theories...
Heavy lift crane vessels play an important role in offshore installations. Previous studies have shown that position control systems for these vessels can cause unstable positioning behavior during offshore construction assignments under specific conditions, e.g., change of environmental loads. Some control methods, such as crane force feedforward to the controller or the estimator, have been developed...
A modular approach of the estimation-based design in the adaptive linear control systems has been extended to the adaptive robust control of strict-feedback stochastic nonlinear systems with additive standard Wiener noises and constant unknown parameters. Using Itô differentiation rule, nonlinear damping and adaptive Backstepping procedure, the disturbance-to-state stable controller of global stabilization...
This paper proposes a linear parameter-varying (LPV) dynamic output-feedback shared controller to assist the driver for path tracking. In the controller design, the uncertain, diverse characteristics including delay time, preview time, and steering proportional gain with respect to different human drivers are considered with the gain-scheduling algorithm. To achieve performance improvement of the...
This paper proposes a robust iterative learning control method for the refining furnace alloy weighing process to solve the problem of the poor control accuracy and stability caused by the changing of alloy properties and the frequency of the vibration feeder. First, a two dimensional (2D) weighing model was established based on the analysis of the dynamic characteristics of alloy weighing process...
In this paper, the state extending and filtering robust control (SEFERC) is proposed and investigated. In the SEFERC, the uncertain nonlinear part of the MIMO is extend to the new state parameter and estimated by the nonlinear tracking filter. With the estimated value, by the direct feedback linearization (DFL) method and H∞ control method, the nonlinear system can be converted to the linear system...
In this work, an event-triggered adaptive robust controller (ET-ARC) design is considered for a continuous-time nonlinear system combined with structural uncertainties and parameter uncertainties. In the event-trigger scheme, the controller only can obtain the sampled date of the output measurement at some certain instants determined by the designed triggering condition and therefore the performance...
This paper deals with the robust control problem for linear systems with both gain and time constants variations under fractional order PIλDμ controller. A robustness specification to the parameters variations is proposed. For those systems with more than one uncertain time constant, the robustness specifications are analyzed and simplified. To minimize the phase offset nearby the crossover frequency,...
In this paper, an attitude control strategy is proposed for a class of tail-sitter aerial vehicles, which is required to achieve the desired tracking control performance during the mode transition. The resulted controller is constructed by a nominal controller and a robust compensator to reduce the effects of nonlinear dynamics and uncertainties. Theoretical analysis and numerical simulation results...
Aiming at the quadrotor characteristics of non-linearity, strong coupling and vulnerability to external disturbances, the attitude controller and height controller are designed based on linear active disturbance rejection control (LADRC). During the design of attitude controller, a virtual control variable is introduced at first to realize the decoupling of static part in system coupling terms. The...
Event-triggered output robust control algorithm is proposed in the paper. Controller synthesis is based on the consecutive compensator method. Event-trigger mechanism is based on the high-gain state observer. Developed controller provide input-to-state practical stability of unstable linear plants under conditions of parametric uncertainties and bounded external disturbances. Computer simulation confirm...
In this paper, we propose a perfect model-following (PMF) system using active disturbance rejection control (ADRC). Simulation results show that the plant output follows the desired reference model output. By using the ADRC, we can ignore the parameter errors of the plant. Also the proposed method is designed a model following system, even if the order of the plant is different from that of the model.
This paper deals with the control problem of a dc-dc boost converter whose operation takes place in an uncertain environment. The proposed nonlinear controller achieves the desired performance in a number of different situations. Uncertainties, unknown but bounded, are considered to be present in the load as well as in the input voltage. Effective control results as long as certain matching assumptions...
In the paper, a novel robust controller design method is developed for discrete-time parameter varying system using matrix inequalities. Auxiliary matrices are used to reduce conservatism of the proposed robust stability conditions. The resulting design method is illustrated on examples.
Existence of modeling errors, external disturbances, and inaccurate design assumptions make robustness a desired property for any control system in real-life applications. Linear robust controllers are widely seen as acceptable solutions when systems are controlled close to known equilibrium points and a known trajectory. Unfortunately, linear robust control designs become partially ineffective when...
Active disturbance rejection control (ADRC) exemplifies the spirit of the data-driven control (DDC) design strategy and shows much promise in obtaining consistent applications in industrial control systems with uncertainties, without the premise that the detailed mathematical model of the controlled system is given. Instead, it is shown that the information needed for the control system to work at...
This paper presents a finite-time control strategy for uncertain systems with unknown time-invariant parameters. The finite-time adaptive robust controller is designed via Lyapunov approach, where projection-type integral and incremental adaptation laws are applied in estimation of the time-invariant parametric uncertainties, respectively. The terminal attractor is suggested in the adaptive robust...
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