This paper presents an on-line and real-time controller tuning architecture based on Youla-Kucera controller parameterization. First, a coarse controller is designed to satisfy nominal performance of closed-loop syste...
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This paper presents an on-line and real-time controller tuning architecture based on Youla-Kucera controller parameterization. First, a coarse controller is designed to satisfy nominal performance of closed-loop system. Second, Youla parameter is used to construct an on-line and real-time fine tuning mechanism including a group of controller candidates under arbitrary switching strategy. The mechanism can adjust the control performance on-line to achieve the balance between dynamic and steady-state performance without resulting in any closed-loop stability problems.
This paper deals with controller parameterization method of adaptive H∞ control for polynomial Hamiltonian systems with disturbances and unknown parameters perturbations. The aim of this paper is to design a controll...
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This paper deals with controller parameterization method of adaptive H∞ control for polynomial Hamiltonian systems with disturbances and unknown parameters perturbations. The aim of this paper is to design a controller with parameters to insure that the systems are adaptive H∞ stable using the Hamiltonian function method. The proposed parameterization method avoids solving Hamilton-Jacobi-Issacs equations and thus the obtained controller with parameters is easier as compared to some existing ones.
The well-known controller architecture based on the Youla parameterization is revisited in this paper. The key result in this paper is a reformulation of the Youla controller such that an exact implementation of the Y...
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ISBN:
(纸本)9781665441971
The well-known controller architecture based on the Youla parameterization is revisited in this paper. The key result in this paper is a reformulation of the Youla controller such that an exact implementation of the Youla parameterization part can be done using only terminals of the nominal controller. Further, the parameterization part does not use the nominal feedback controller directly.
The work deals with a generalization of the internal model control method whereby the original process model is suitably simplified to facilitate direct parameterization of feedback controllers. Here, the m/n moment a...
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The work deals with a generalization of the internal model control method whereby the original process model is suitably simplified to facilitate direct parameterization of feedback controllers. Here, the m/n moment approximant is adopted as the simplified model. The parameterized feedback controller contains a filter that can the tuned for closed loop system acceptable characteristics. The method facilitates cheap computation of controllers satisfying desired performance and stipulated constraints. Copyright (C) 2020 The Authors.
The work deals with a generalization of the internal model control method whereby the original process model is suitably simplified to facilitate direct parameterization of feedback controllers. Here, the m/n moment a...
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The work deals with a generalization of the internal model control method whereby the original process model is suitably simplified to facilitate direct parameterization of feedback controllers. Here, the m/n moment approximant is adopted as the simplified model. The parameterized feedback controller contains a filter that can the tuned for closed loop system acceptable characteristics. The method facilitates cheap computation of controllers satisfying desired performance and stipulated constraints.
When the control system is stabilized by a stable controller, the controller is said to be a strongly stabilizing controller. While there are many design methods of stabilizing controllers, most existing methods do no...
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When the control system is stabilized by a stable controller, the controller is said to be a strongly stabilizing controller. While there are many design methods of stabilizing controllers, most existing methods do not consider the stability of stabilizing controllers. Because the instability of the stabilizing controllers makes closed-loop systems very sensitive to disturbances and reduces the tracking performance to reference inputs, it is required in practice to use the stable stabilizing controller whenever it is possible. Youla et al. showed that not every plant can be stabilized by a stable controller and examined a design procedure for stable stabilizing controllers. However, it is better in practice to design controllers that make use of the individuality of given plants. From this perspective, Hoshikawa et al. clarified the class of strongly stabilizable plants that can be stabilized by a stable controller. However, they have not given a design method of strongly stabilizing controllers for the class of strongly stabilizable plants. This is the purpose of this paper, and to propose a design method, we clarify the parameterization of all strongly stabilizing controllers for strongly stabilizable plants.
With the growing number of renewable energies in the power grid, the use of inverters is increasing rapidly. Due to this, the power system, because of the switching process caused harmonic by the inverters, is becomin...
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ISBN:
(纸本)9781728119816
With the growing number of renewable energies in the power grid, the use of inverters is increasing rapidly. Due to this, the power system, because of the switching process caused harmonic by the inverters, is becoming more and more unstable. The reasons for it are various, one of them is due to the control structure of the inverter and its control parameters which may lead to the extending of harmonic effects in the grid if they are not properly parameterized. Accordingly, the efficient methods for parameterizing and optimizing the controllers in the inverter are required. The present paper focuses on the optimization of the controller parameters of the inverter (INV) in the distribution grid levels to improve the stability of the system. The optimization of the controller parameters in this paper is referred to as the global optimization in the multi-inverter system. To operate the process, the effect of the voltage at each grid connection point (PCC)is considered for the controller parameterization in each INV, and based on this, a dynamic concept for global optimization is proposed and investigated. In this study, the existing reference networks are selected in the average value mode and their stability in the small signal range will be investigated. Finally, the study shows that the global optimization of the INVs in the multi-inverter system with small signal excitations is achieved by considering the influence of the PCC voltage on each INV.
This paper considers the problem of measurement output feedback H-infinity control subject to asymptotic tracking and unsatble output weights. Based on two Sylvester equations, a specifically structured controller is ...
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ISBN:
(纸本)9781538612446
This paper considers the problem of measurement output feedback H-infinity control subject to asymptotic tracking and unsatble output weights. Based on two Sylvester equations, a specifically structured controller is conducted, and the necessary and sufficient condition is given. By this parameterization, additional perfonnance objective is further tackled via an LMI-based approach and a reduced-order controller synthesis is also discussed. An example is given to show the effectiveness of the current results.
This paper considers the problem of measurement output feedback H control subject to asymptotic tracking and unsatble output weights. Based on two Sylvester equations, a specifically structured controller is conducted...
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This paper considers the problem of measurement output feedback H control subject to asymptotic tracking and unsatble output weights. Based on two Sylvester equations, a specifically structured controller is conducted, and the necessary and sufficient condition is given. By this parameterization, additional performance objective is further tackled via an LMI-based approach and a reduced-order controller synthesis is also discussed. An example is given to show the effectiveness of the current results.
A vast class of industrial control systems should be properly controlled in conditions of substantial plant uncertainties and external perturbations. Robust control synthesis methods such as H.. optimization, LMI appr...
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ISBN:
(纸本)9781605955070
A vast class of industrial control systems should be properly controlled in conditions of substantial plant uncertainties and external perturbations. Robust control synthesis methods such as H.. optimization, LMI approach are not efficient if a plant model order is not defined. For this reason, the aim of this paper is to recommend a technique for robust control implementation based on interval polynomial generation. The polynomials roots location theory permits to generate an interval polynomial providing the roots location in a dedicated area on the complex plane when a plant is subject to uncertainty. The limits of such an area are selected in order to minimize the negative effect of disturbances and to provide appropriate quality of system dynamics. The polynomials order is defined by controller order. Thus, for the second order PID-controller parameterization the second order is assumed for a plant model. Hence, the polynomial order is four. The robust PID-controller parameterization is achieved for a boiler steam pressure control. The simulation results are presented for this system which demonstrate quality of system dynamics improvement in conditions of parametric and external perturbations.
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