Collocated Sensor/Actuator Positioning and Feedback Design in the Control of Flexible Structure System

1994 ◽  
Vol 116 (2) ◽  
pp. 146-154 ◽  
Author(s):  
An-Chen Lee ◽  
Song-Tsuen Chen
Keyword(s):  
Asymptotic Stability ◽  
Closed Loop ◽  
Design Method ◽  
Sufficient Conditions ◽  
Lyapunov Equation ◽  
Energy Criterion ◽  
Programming Algorithm ◽  
Feedback Gain ◽  
Flexible Structure ◽  
Feedback Design

This paper presents a new control design method for the control of flexible systems that not only guarantees closed-loop asymptotic stability but also effectively suppresses vibration. This method allows integrated determination of actuator/sensor locations and feedback gain via minimization of an energy criterion, which is chosen as the integrated total energy stored in the system. The energy criterion is determined via an efficient solution of the Lyapunov equation and minimized with a quasi-Newton or recursive quadratic programming algorithm. The prerequisite for this optimal design method is that the controlled system be asymptotically stable. This study shows that when the controller structure is a collocated direct velocity feedback design with positive definite feedback gain, the number and placement of actuators/sensors are the only factors needed to determine necessary and sufficient conditions for ensuring closed-loop asymptotic stability. The application of this method to a simple flexible structure confirms the direct relationship between our optimization criterion and effectiveness in vibration suppression.

scholarly journals New Decentralized Control of Interconnected Systems

2020 ◽  
Vol 9 (4) ◽  
pp. 2252-2260
Keyword(s):  
Closed Loop ◽  
Sufficient Conditions ◽  
Interconnected Systems ◽  
Linear Matrix ◽  
Feedback Gain ◽  
Matrix Inequalities ◽  
Interconnected System ◽  
Local Controller ◽  
The Stability ◽  
Finsler’S Lemma

In this paper, we present a new decentralized H∞ control for interconnected systems, the interconnected system consists of several subsystems. The proposed approach based on Lyapunov functional and a H∞ criterion, employed to reduce the effect of interconnections between subsystems. In the first, we study the stability of the global system in closed loop using a criterion H∞, the stability conditions are presented in terms of LMI. In the second, to improve this approach, a Finsler’s lemma is used for the stability analysis by LMIs. Some sufficient conditions, ensuring all the closed-loop stability are supplied in terms of Linear Matrix Inequalities (LMIs), and the new feedback gain matrix of each local controller is obtained by solving the LMIs. Finally, the practice examples are given to illustrate the efficiency of the present method

Asymptotic Stabilization of Delayed Systems with Input and Output Saturations

2017 ◽  
Vol 6 (2) ◽  
pp. 63
Author(s):  
Adel Mahjoub ◽  
Nabil Derbel
Keyword(s):  
Asymptotic Stability ◽  
Global Asymptotic Stability ◽  
Closed Loop ◽  
Sufficient Conditions ◽  
Delayed Systems ◽  
Asymptotic Stabilization ◽  
Input And Output ◽  
Delayed System ◽  
The Stability

We consider in this paper the problem of controlling an arbitrary linear delayed system with saturating input and output. We study the stability of such a system in closed-loop with a given saturating regulator. Using inputoutput stability tools, we formulated sufficient conditions ensuring global asymptotic stability.

scholarly journals Gain scheduled controller design for thermo-optical plant

2014 ◽  
Vol 24 (3) ◽  
pp. 333-349 ◽  
Author(s):  
Vojtech Veselý ◽  
Jakub Osuský ◽  
Ivan Sekaj
Keyword(s):  
Output Feedback ◽  
Closed Loop ◽  
Controller Design ◽  
Design Method ◽  
Feedback Gain ◽  
Small Gain ◽  
Gain Scheduled Controller ◽  
The Stability ◽  
Gain Scheduled ◽  
Siso Systems

Abstract This paper presents a gain scheduled controller design for MIMO and SISO systems in the frequency domain using the genetic algorithms approach. The proposed method is derived from the M-delta structure of closed loop MIMO (SISO) systems and the small gain theory is exploited to obtain the stability condition. An example of real system illustrates the effectiveness of the proposed output feedback gain scheduled controller design method and also the possibility to improve its performance using the genetic algorithm

Asymptotic Stabilization of Delayed Systems with Input and Output Saturations

2017 ◽  
Vol 6 (2) ◽  
pp. 64
Author(s):  
Adel Mahjoub ◽  
Nabil Derbel
Keyword(s):  
Asymptotic Stability ◽  
Global Asymptotic Stability ◽  
Closed Loop ◽  
Sufficient Conditions ◽  
Input Output ◽  
Delayed Systems ◽  
Output Stability ◽  
Input And Output ◽  
Delayed System ◽  
The Stability

We consider in this paper the problem of controlling an arbitrary linear delayed system with saturating input and output. We study the stability of such a system in closed-loop with a given saturating regulator. Using input-output stability tools, we formulated sufficient conditions ensuring global asymptotic stability.

scholarly journals Interval Analysis of the Eigenvalues of Closed-Loop Control Systems with Uncertain Parameters

Actuators ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 31
Author(s):  
Jing-Zhou Zhao ◽  
Guo-Feng Yao ◽  
Rui-Yao Liu ◽  
Yuan-Cheng Zhu ◽  
Kui-Yang Gao ◽  
...  
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Design Method ◽  
Feedback Gain ◽  
Physical Parameters ◽  
Closed Loop Control ◽  
Uncertain Parameters ◽  
Control Force ◽  
Loop Control ◽  
Recursive Design

Uncertainty caused by a parameter measurement error or a model error causes difficulties for the implementation of the control method. Experts can divide the uncertain system into a definite part and an uncertain part and solve each part using various methods. Two uncertainty problems of the control system arise: problem A for the definite part—how does one find out the optimal number and position of actuators when the actuating force of an actuator is smaller than the control force? Problem B for the uncertain part—how does one evaluate the effect of uncertainty on the eigenvalues of a closed-loop control system? This paper utilizes an interval to express the uncertain parameters and converts the control system into a definite part and an uncertain part using interval theory. The interval state matrix is constructed by physical parameters of the system for the definite part of the control system. For Problem A, the paper finds out the singular value element sensitivity of the modal control matrix and reorders the optimal location of the actuators. Then, the paper calculates the state feedback gain matrix for a single actuator using the receptance method of pole assignment and optimizes the number and position of the actuators using the recursive design method. For Problem B, which concerns the robustness of closed-loop systems, the paper obtains the effects of uncertain parameters on the real and imaginary parts of the eigenvalues of a closed-loop system using the matrix perturbation theory and interval expansion theory. Finally, a numerical example illustrates the recursive design method to optimize the number and location of actuators and it also shows that the change rate of eigenvalues increases with the increase in uncertainty.

scholarly journals Preview Tracking Control of Linear Periodic Switched Systems with Dwell Time

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Fucheng Liao ◽  
Lijie Cui ◽  
Yanrong Lu ◽  
Jiamei Deng
Keyword(s):  
Switched Systems ◽  
Tracking Control ◽  
Dwell Time ◽  
Closed Loop ◽  
Design Method ◽  
Sufficient Conditions ◽  
Control Input ◽  
Tracking Problem ◽  
Preview Control ◽  
Error System

This paper studies the preview tracking control problem for linear discrete-time periodic switched systems. Firstly, an augmented error system is constructed for each subsystem by stabilizing the augmented error systems through the method of optimal preview control, and the tracking problem of the switched system is transformed into the switched stability problem of closed-loop augmented error systems. Secondly, a switched Lyapunov function method is applied to search the minimal dwell time satisfying the switched stability of the closed-loop augmented error systems. Thirdly, the switched preview control input is solved from the controller of the individual augmented error system, and then the sufficient conditions and the preview controller can be obtained to guarantee the solvability of the original periodic switched preview tracking problem. Finally, numerical simulations show the effectiveness of the stabilization design method.

scholarly journals Optimal Pole Assignment of Linear Systems by the Sylvester Matrix Equations

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hua-Feng He ◽  
Guang-Bin Cai ◽  
Xiao-Jun Han
Keyword(s):  
Assignment Problem ◽  
Closed Loop ◽  
Sufficient Conditions ◽  
Pole Assignment ◽  
Loop System ◽  
Linear Matrix ◽  
Feedback Gain ◽  
Matrix Equations ◽  
Closed Loop System ◽  
Linear Matrix Equations

The problem of state feedback optimal pole assignment is to design a feedback gain such that the closed-loop system has desired eigenvalues and such that certain quadratic performance index is minimized. Optimal pole assignment controller can guarantee both good dynamic response and well robustness properties of the closed-loop system. With the help of a class of linear matrix equations, necessary and sufficient conditions for the existence of a solution to the optimal pole assignment problem are proposed in this paper. By properly choosing the free parameters in the parametric solutions to this class of linear matrix equations, complete solutions to the optimal pole assignment problem can be obtained. A numerical example is used to illustrate the effectiveness of the proposed approach.

Conditions for the local and global asymptotic stability of the time–fractional Degn–Harrison system

2020 ◽  
Vol 21 (7-8) ◽  
pp. 749-759
Author(s):  
Rachida Mezhoud ◽  
Khaled Saoudi ◽  
Abderrahmane Zaraï ◽  
Salem Abdelmalek
Keyword(s):  
Asymptotic Stability ◽  
Global Asymptotic Stability ◽  
Lyapunov Method ◽  
Sufficient Conditions ◽  
Reaction Diffusion ◽  
Linearization Method ◽  
Direct Lyapunov Method ◽  
Fractional Systems ◽  
Reaction Diffusion Model ◽  
Theoretical Results

AbstractFractional calculus has been shown to improve the dynamics of differential system models and provide a better understanding of their dynamics. This paper considers the time–fractional version of the Degn–Harrison reaction–diffusion model. Sufficient conditions are established for the local and global asymptotic stability of the model by means of invariant rectangles, the fundamental stability theory of fractional systems, the linearization method, and the direct Lyapunov method. Numerical simulation results are used to illustrate the theoretical results.

Complex projection synchronization of fractional order uncertain complex-valued networks with time-varying coupling

2019 ◽  
Vol 33 (29) ◽  
pp. 1950351 ◽  
Author(s):  
Dawei Ding ◽  
Xiaolei Yao ◽  
Hongwei Zhang
Keyword(s):  
Fractional Order ◽  
Coupling Strength ◽  
Dynamic Networks ◽  
Sufficient Conditions ◽  
Feedback Gain ◽  
Time Varying ◽  
Order Complex ◽  
Unknown Parameters ◽  
Synchronization Problem ◽  
Complex Valued

In this paper, the complex projection synchronization problem of fractional complex-valued dynamic networks is investigated. Considering the time-varying coupling and unknown parameters of the fractional order complex network, several decentralized adaptive strategies are designed to adjust the coupling strength and controller feedback gain in order to investigate the complex projection synchronization problem of the system. Moreover, based on the designed identification law, the uncertain parameters in the network can be estimated. Using adaptive law which balances the time-varying coupling strength and the feedback gain of the controller, some sufficient conditions are obtained for the complex projection synchronization of complex networks. Finally, numerical simulation examples are provided to illustrate the efficiency of the complex projection synchronization strategies of the fractional order complex dynamic networks.

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