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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...
This paper develops a linear parameter varying(LPV) based robust model predictive control(MPC) method for a multi-vectored airship, the speed of the forward flight channel is considered. The nonlinear model of the airship is introduced with kinematics and dynamics. Then, in order to obtain the LPV models, the small perturbation linearization method is used. After that, the higher order singular value...
Consideration was given to construction of a robust control law for a class of scalar nonlinear dynamic plants under conditions of uncertainty and saturation of a control signal. The synthesis of the control law relies on the hyperstability criterion, L-dissipativity conditions and using in the main circuit an explicit reference model with two outputs and low-inertia filter-corrector.
This paper presents a voltage control strategy for a DC load powered by a three phase inverter connected to a Permanent Magnet Synchronous Generator (PMSG). The DC load consists of a DC capacitor in parallel with the inverter and the unknown current load. The control strategy is designed based on Simple Adaptive Control (SAC) technique. The structure is a cascade controller designed in rotor reference...
Solid state transformers (SSTs) can be interconnected with each other through a distribution feeder to form a smart grid. When the main grid is disconnected, SSTs form an islanded microgrid. With available communications, master-slave microgrid control structure can be adopted. The system-level stability analysis can be simplified by considering only the grid interface stage of the SST. The loop feeder...
This paper deals with a robust input-output feedback linearization control technique for induction motors. The idea arises from the observation that classic feedback linearization suffers primarily from two disadvantages: the accuracy of the dynamic model and the corresponding correct knowledge of the model parameters. To cope with the limit of the feedback linearization control, intrinsically connected...
This paper proposes a DC link controller based on H∞ method for robust and reliable operation of a single-phase grid-connected inverter with an LCL-filter in photovoltaic (PV) applications. The H∞ DC link controller minimizes the bus voltage fluctuations caused by the power variations of PV system. Also, the controller ensures system robustness against such power variations, which conventional controllers...
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...
This paper deal with the problem of H∞ robust fault estimation for discrete time nonlinear system with a sector bounded nonlinear additive terms and multiple bounded state delay using the Takagi-Sugeno (T-S) fuzzy model. A fuzzy-fault estimation observer (FFEO) design is proposed to achieve fault estimation of T-S state delay models using fuzzy Lyapunov functions (FLF) with actuator and sensor faults...
This paper approaches the topic of robust control for DC-DC power converters. A low-power single-ended primary-inductor converter (SEPIC) has been chosen as a case study, for which the output voltage regulation problem in presence of parameter uncertainties is stated in the Hinf formalism as a disturbance-rejection problem. This approach is assessed by numerical simulations in MATLAB against a classical...
This paper presents a robust optimal controller for a Hovering Autonomous Underwater Vehicle (HAUV) in station keeping. The proposed controller does not require added mass, hydrodynamic drag force, and buoyancy force information of the HAUV system. The proposed controller is a time invariant controller which combined optimal control technique and robust filter control technique. The optimal control...
Model Predictive Control (MPC) is a candidate solution to aggressively control a constrained plant. In Tube Model Predictive Control (TMPC), optimality is traded for robustness which is a key aspect in flight controls where the plant is subject to many disturbances and uncertainties especially related to aerodynamics and wind. Yet MPC comes with large computational effort and thus reduced execution...
This work presents a robust control approach for Maximum Power Point Tracking (MPPT) of a standalone solar Photo Voltaic (PV) system, in order to boost its efficiency. For testing the algorithm, it was considered an 80W stand-alone solar PV cell. In order to improve the efficiency of the charge controller, the proposed control strategy follows the maximum power point output.
This paper investigates the type-2 T-S fuzzy multiple feedback-loop guaranteed cost controller design for uncertain singular systems with transmission and state delays. Based on the type-2 T-S fuzzy theory, this work constructs a mathematical model for a class of nonlinear uncertain singular time-delay systems. Using the parallel distributed compensation concept with Lyapunov theory and linear matrix...
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...
This paper deals with a design problem of variable gain robust model following/tracking control for a class of uncertain linear systems. The new proposed variable gain robust control system is composed of fixed gain controllers and variable ones. In this paper, LMI-based sufficient conditions for the existence of the proposed variable gain robust controller are given. Finally, a simple numerical example...
The purpose of his paper is to offer a numerical strategy in order to control the thermal processes with distributed parameters. Designing the control system for processes of this kind is usually difficult, mostly because of their non-standard dynamic model representation. Using energy balance equations for the process-a heat exchanger, the model is obtained. The proposed solution is to design a polynomial...
Uncertainties including matched and unmatched disturbances are the obstacles of developing advanced controllers for electro-hydraulic servo systems. This article presents a dual extended state observer (ESO) with full state to estimate the matched and unmatched disturbances and a robust controller to compensate them. Firstly, the nonlinear mathematical model of the considered single-rod hydraulic...
A constructive adaptive robust controller of mechanical systems with unknown parameters and external disturbances from different channels was proposed based on their stochastic Hamiltonian realization. First, we put forward an energy-based adaptive robust controller for stochastic nonlinear systems which can be formulated as dissipative Hamiltonian systems. Then, we transformed the considered stochastic...
This paper introduces a new class of multiple fractional-order phase lead networks in control system synthesis. Numerators and denominators of analogue realizations of the irrational network units are given in closed forms by an efficient, iterative scheme. These new multiple networks improve the flatness of the phase-frequency plots that is important for a robust design. Moreover, the proposed closed...
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