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Control system synthesis problem is considered. We have to find a control function as a function of the system's state. Synthesized control system should provide meeting a goal objective for the set of initial conditions. Grammatical evolution and network operator methods were considered as means for control systems synthesis. Computational experiments were performed for the non-linear control system...
The paper proposes a new method for synthesis of optimal control systems. The network operator method is used. The intellectual evolution algorithm is applied for searching. This algorithm combines advantages of several evolutionary algorithms. A numerical example of control system synthesis for a wheeled mobile robot is presented.
In this paper, a new approach for modeling and control of reactive power in microgrid is presented. This structure utilizes wind turbine driven doubly fed induction generator (DFIG). Firstly, the dynamics of voltage and reactive power of DFIG and synchronous generator are represented via a model. After that, a control system is designed for the microgrid reactive power. This control strategy is used...
The aim of this paper is to design a fuzzy-sliding mode controller for a four-quadrant PWM converter used in grid-connected wind generation simulator. The main goal is to improve the power factor and realize unity power factor rectifying and inverting. This paper generates the mathematical model of four-quadrant PWM converter and proposes the procedure of designing a fuzzy-sliding mode controller...
Fuzzy logic controller (FLC) is an attractive alternative to existing classical or modern controllers for designing the challenging Non-linear control systems. It does not require any system modeling or complex mathematical equations governing the relationship between inputs and outputs. Fuzzy rules are very easy to learn and use, even by non-experts. It typically takes only a few rules to describe...
In this paper, the coupling magnetic field model which the power magnetic bearing generated by interference between the rotation and levitation force is linear inverse system decoupling, and study PID control strategy on decoupling linearization system. According to the performance analysis and simulation of PID control system, it can be concluded that PID control system has quick response, high control...
In this paper, we present a new particle swarm optimization. The original PSO has a weight term which is decreasing, increasing, or constant during iterations. In this paper, inertia terms are a vector instead of a scalar. Comparing a velocity and an updating term, the weight can be increased or decreased. That is, if the absolute value of velocity is larger or lesss than that of the update term,...
As the SRD system is multivariable, highly coupled and nonlinear, it is difficult to get a satisfied result by the conventional control. In this paper, the adaptive fuzzy PID controller is designed as the speed regulator, by using the Simulink toolbox of the Matlab, the result shows that the controller can reduce the overshoot, improve the accuracy and possess good robustness.
The convergence evaluation of the discrete linear quadratic regulator (DLQR) to map the Z-stable plane, is the main target of this research that is oriented to the development of tuning method for multivariable systems. The tuning procedures is based on strategies to select the weighting matrices and dynamic programming. The solutions of DLQR are presented, since Bellman formulations until Riccati...
This paper proposes the predictive controller design for a sensorless interior permanent magnet synchronous motor drive system. The predictive controllers include a current-loop predictive controller and a speed-loop predictive controller. By using the proposed control algorithms, the closed-loop sensorless interior permanent magnet synchronous motor drive system can achieve fast transient responses,...
A nonlinear two loop quaternion based state dependent Ricatti equation (QSDRE) control and an LQR control based on linearized system equations are designed to improve the pointing performance of a large Earth Observation camera carried by a spacecraft with deployed solar panels. The system is modeled as eight bodies, a spacecraft, a high resolution camera, four solar panels, two in each side, and...
This article presents the design of Internal Model Controller (IMC) based Fractional Order Two-Degrees-of-Freedom controller with the desired bandwidth specification and the robustness of the designed controller is briefly analyzed. For the conventional IMC based PID controller, One-Degree of Freedom is sufficient to meet the desired bandwidth specification for both Servo and regulatory performances...
Based on Newton dynamics mechanics theory make a study of two-wheeled self-balancing robot, a detailed mathematical model of the modeling process is provided, and then, using the reasonable method, a linear state-space equations is built up. After that, the LQR controller and state-feedback controller based on pole placement theory are both designed. After a number of simulation experiments, we get...
In this paper, according to the generalized inverse theory, we give the algebraic structures of stabilizing feedback controllers to discrete-time linear systems. Necessary and sufficient conditions for stability of the systems are given. A class of stable state feedback controller is designed. Stabilizing analysis for the discrete-time linear system provides a theoretical guidance to the new method,...
In general telecommunication, control and signal processing, mathematical models of objects are often built from the physical process. In fact, some objects have complex physical models, therefore, accurate description of the object will results to large and high-order mathematical models. This causes difficulties for the computation and design. Hence, finding a lower-order model that still has the...
The actuator fault estimation and a fault tolerant control (FTC) for delayed system are proposed in this paper. The estimation of actuator fault is realized by using the Luen-berger observer, and the fault tolerant control is obtained by adding an additive control law to the nominal one. The nominal control of delayed system is designed by using the Lambert-W function. finally, a simulation example...
In this study, four adaptive neural network based fuzzy logic controllers (ANNFL) are designed and used as two controllers in terms of interval type-2 fuzzy logic control. The new controllers are called as adaptive neural network based interval type-2 fuzzy logic controller (ANNIT2FL) and applied to a rigid-flexible robot manipulator. Initially dynamic model of the manipulator is obtained by using...
This paper describes an Adaptive Backstepping Neural Network (ABNN) method used for a ship course tracking control. The ship model is described by a third order nonlinear model whose parameters are unknown. The control design uses estimate values of unknown parameters of the system. Then, adaptive laws of the estimation of these values have been proposed. The stability of the controlled system has...
In this paper, we apply an adaptive control algorithm to a nonlinear multivariable process. Such controller is based on the multiple models approach. As the design of the control law requires the knowledge of the dynamical model of the system, we deal firstly with the identification of the system parameters using the recursive least squares and the retro propagation of the gradient algorithms. Then,...
This paper examines the problem of the state and the unknown inputs estimation for nonlinear descriptor system via Unknown Input and Proportional Integral Observer. The used approach is based on the multi-model representation of the nonlinear descriptor process. The design methods of both proportional integral observers and unknown inputs observers for multi-model descriptor systems are described...
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