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We proposed two adaptive control methods for speed control of brushless direct current(BLDC) motor disturbed by two kinds of disturbances in this paper. The dynamic model of BLDC motor possessing either parametric uncertainties disturbed by unknown with known bound external disturbances or parametric uncertainties disturbed by unknown with known structure model external disturbances is considered,...
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.
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.
In this paper, we propose a straightforward method to select the parameters of the PI controllers in Field Oriented Control (FOC) scheme for Permanent Magnet Synchronous Motor (PMSM) based on geometric model reduction and structured H∞-synthesis. The main contribution of this paper is that, by recognizing the essential linear system structure of PMSM model and using mature robust control method, the...
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...
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...
The problem of spacecraft attitude tracking control for actuator faults/failures and external disturbances is addressed in this paper. Assuming that information on external disturbances is unknown, a finite time sliding mode (FTSM) control law is developed to handle actuator faults/failures. Under the constraint conditions including the actuator faults and external disturbance, stability analysis...
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...
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...
In this paper, we propose a control model based on NCS theory to solve the vehicle-following problem, which presents both issues: the difficulty in the identification process and a lossy network. To deal with network losses, we use a mode dependent Markov jump linear filter coupled with a statefeedback controller. To handle parameter uncertainty, a polytopic representation of the car model is presented...
Multicores increasingly execute in constrained environments, and are being equipped with controllers for resource management. However, modern multicore systems are structured in multiple complex layers, such as the hardware, OS, and networking layers, each with its own resources. Managing such a system scalably and portably requires that we have a controller in each layer, and that the different controllers...
The experimental method of a robust adaptive trajectory tracking control of nonholonomic wheeled mobile robots using only web camera is proposed. This paper proposes an experimental system for using video camera images in MATLAB / Simulink(R)using donated software. We make a simple contrivance, the coordinates information which can be given by video camera image can take into MATLAB/Simulink, and...
Disturbance Feedback Control (DFC) is a control technique that augments robustness of existing control systems with an extra feedback loop for the purpose of attenuation of disturbances and model errors. In this work, we propose a DFC design method based on output feedback control via Linear Matrix Inequalities (LMIs). A parametric uncertainty model is used to represent mismatches between a nominal...
This paper presents a novel approach for an interval-based gain scheduling control design aiming at a guaranteed stabilization of the system dynamics over a predefined time horizon. Due to the goal of asymptotic stability, the design aims at the temporal reduction of the widths of intervals representing worst-case bounds of the system states at a specific point of time. The main idea of the control...
A cyber-physical system (CPS) typically utilizes networks of computers and communication systems to automatically monitor and manage the interactions and data exchanges between plant, sensor, controller and actuator elements within the CPS. The design and implementation of such a CPS are particularly challenging due to their requirements of high reliability and resiliency to possible components' failure...
The paper discusses a novel probabilistic approach for online parameter estimation of the predictor model used in an MPC (Model Predictive Control) setting in the presence of model uncertainties and external disturbances. Model uncertainty makes it hard to compute an optimal control in general case, because it is needed to take into account all possible values of model parameters. Therefore, it is...
Active magnetic bearings (AMBs) provide a new proper solution to the high-performing rotating equipment. The active controlled electromagnetic forces of AMBs levitate the rotor without any contact with the stator. The advanced controller design is one of the hot issues associated with AMBs. This paper deals with the application of μ synthesis to the control of AMBs. The parametric uncertainty of the...
Model-based predictive control is an effective method for control the large scale systems. Method is based on on-lin solution of control task over the control horizon using current and past measurements as well as the system model. Because model and measurement uncertainty, predicted and plant outputs might be different and plant output may exceed plant output constraints. Generated control is not...
We exploit how to overcome phase damping decoherence when the phase damping parameters are uncertain. It is shown that the “relaxed” control goal may be achieved by combing simple open-loop coherent control with periodic projective measurements. Both the sufficient conditions and constructive design procedures are presented. The control design is reduced to selecting the period of projective measurements...
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