This paper considers the single- and multiple-fault diagnosis of constrained and nonlinear systems. In order to describe the system dynamics in fault-free and in faulty operation, a structured augmented state form is ...
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A type of high-order integral observers for matrix second-order linear systems is proposed on the basis of generalized eigenstructure assignment via unified parametric approaches. Through establishing two general para...
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A type of high-order integral observers for matrix second-order linear systems is proposed on the basis of generalized eigenstructure assignment via unified parametric approaches. Through establishing two general parametric solutions to this type of generalized matrix second-order Sylvester matrix equations, two unified complete parametric methods for the proposed observer design problem are presented. Both methods give simple complete parametric expressions for the observer gain matrices. The first one mainly depends on a series of singular value decompositions, and is thus numerically simple and reliable; the second one utilizes the fight factorization of the system, and allows eigenvalues of the error system to be set undetermined and sought via certain optimization procedures. A spring-mass-dashpot system is utilized to illustrate the design procedure and show the effect of the proposed approach.
Eigenstructure assignment using the proportional-plus-derivative feedback controller in a class of secondorder dynamic system is investigated. Simple, general, complete parametric expressions for both the closed-loop ...
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Eigenstructure assignment using the proportional-plus-derivative feedback controller in a class of secondorder dynamic system is investigated. Simple, general, complete parametric expressions for both the closed-loop eigenvector matrix and the feedback gains are established based on two simple Smith form reductions. The approach utilizes directly the original system data and involves manipulations only on n-dimensional matrices. Furthermore, it reveals all the degrees of freedom which can be further utilized to achieve additional system specifications. An example shows the effect of the proposed approach.
In multiobjective control of linear systems, critical issues are the size of optimization constraints, number of variables, and computation time. This paper investigates in a quantitative way, how some prominent metho...
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ISBN:
(纸本)9783902661104
In multiobjective control of linear systems, critical issues are the size of optimization constraints, number of variables, and computation time. This paper investigates in a quantitative way, how some prominent methods from the literature behave with respect to these critical factors for different problem sizes. Moreover, an alternative formulation is proposed and compared to the existing approaches, showing its favorable properties for a selection of typical applications.
The design of high-order proportional plus integral (PI) observers in second-order linear systems is investigated. Based on the solutions to a so-called generalized Sylvester equation, a parametric method to solve thi...
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The design of high-order proportional plus integral (PI) observers in second-order linear systems is investigated. Based on the solutions to a so-called generalized Sylvester equation, a parametric method to solve this design problem is proposed. This method presents the parametric expressions for the gain matrices and the left eigenvector matrix of the high-order PI observers. These parameters included in this method offer all the design degrees of freedom, which can be further utilized to satisfy certain specified performances, such as disturbance decoupling, LTR and robustness. In addition, this method utilizes directly the original system data and involves manipulations only on n-dimensional matrices. An illustrative example shows the effect and simpleness of the proposed method.
The design of robust tracking observer for a class of perturbed linear control systems is investigated in this paper. Based on the parametric solutions to a Sylvester matrix equation, the robust index and the matrices...
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The design of robust tracking observer for a class of perturbed linear control systems is investigated in this paper. Based on the parametric solutions to a Sylvester matrix equation, the robust index and the matrices of tracking observer are parameterized and the problem of designing robust tracking observer is changed in to a minimization problem. A simple and effective algorithm for the design of tracking observer is proposed. An illustrative example and its simulation results show the simpleness and effectiveness of the proposed algorithm
In this paper, a modified version of the Chaos Shift Keying (CSK) scheme for secure encryption and decryption of data is proposed. The proposed scheme uses the effect of anti-synchronization, rather than synchronizati...
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control of turbocharged diesel engines is a challenging task due to system nonlinearities and constraints on the inputs and process variables. In this paper nonlinear model predictive control is applied to control a d...
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control of turbocharged diesel engines is a challenging task due to system nonlinearities and constraints on the inputs and process variables. In this paper nonlinear model predictive control is applied to control a diesel engine with a variable geometry turbocharger and an exhaust gas recirculation valve. The overall control objective is to regulate the setpoints of the air-fuel ratio and the amount of recirculated exhaust gas in order to obtain low exhaust emission values and low fuel consumption without smoke generation. Simulation results are presented to study the advantages and disadvantages of nonlinear model predictive control. The achieved performance is compared in simulations with a linear state feedback controller and an input-output linearization based control method. As shown, nonlinear model predictive control achieves good overall control performance and constraint satisfaction.
Based on a nonlinear second-order model for a single-machine infinite-bus system with TCSC, two kinds of nonlinear controller were designed using backstepping sliding mode methods. With backstepping sliding mode, the ...
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Based on a nonlinear second-order model for a single-machine infinite-bus system with TCSC, two kinds of nonlinear controller were designed using backstepping sliding mode methods. With backstepping sliding mode, the origin nonlinear system doesn't need to be linearized and the closed-loop error system is guaranteed to be asymptotically stable. When damping coefficients can't be measured inaccurately, a dynamic feedback controller can be designed using adaptive backstepping sliding mode containing the real-time estimation of uncertainty parameter. The design procedure reveals that the controller designed by backstepping sliding mode method has good performances and robustness
The problem of design of a controller for a large-scale system is studied. The design objective is to achieve behavior comparable with the standard controller that is LQ optimal. On the other hand the amount of interc...
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ISBN:
(纸本)9783902661159
The problem of design of a controller for a large-scale system is studied. The design objective is to achieve behavior comparable with the standard controller that is LQ optimal. On the other hand the amount of interconnections between subsystems should be kept as small as possible. This is guaranteed by solving of an optimization problem where the number of interconnections is minimized while the difference in the values of the cost functional for the standard and decentralized controller is a constraint. To find the value of the cost of the decentralized control in presence of interconnections one can use linear matrix inequalities.
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