For dynamical systems expressed in state-space form or for systems with non-classical damping, the reduction of the structural model into the modal co-ordinales involves complex modal analysis with complex modal co-or...
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In this paper a model based nonlinear controller for a Gas MetaJ Arc Welding (GMAW) system is designed. The controller uses nonlinear stale feedback to exactly linearize and decouple the GMAW system. The linearized sy...
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A sliding mode controller is employed to improve the robust performance of the position control of an induction motor in response to mechanical parameter uncertainty or load torque variations. In this paper a discrete...
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In this paper by using a controller based on a neural network and an estimator, an efficient method in A/F ratio for SI engines is presented. This combined method improves plant performance effectively and provides ro...
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In this paper by using a controller based on a neural network and an estimator, an efficient method in A/F ratio for SI engines is presented. This combined method improves plant performance effectively and provides robustness against disturbances due to work point changing. It is shown that by combining two separate methods, a useful control strategy may be generated. Simulation results reveal the superiority of this method.
Iterative median filtering for restoration of images corrupted by impulsive noise is considered. A modified version of median filtering that can be also applied iteratively is also proposed. The methods are compared w...
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Iterative median filtering for restoration of images corrupted by impulsive noise is considered. A modified version of median filtering that can be also applied iteratively is also proposed. The methods are compared with an iterative method suggested by Marvasti for images with high pixel loss. The results show that applying the median filter iteratively results in well sighted resulting images. Moreover, despite the implementation simplicity, the proposed modified median filtering scheme provides a considerably higher convergence speed which intends a lower numerical complexity.
In this paper, first we survey Fault Detection and Isolation (FDI) for nonlinear systems. A necessary condition for the problem to be solvable is derived in terms of an unobservability distribution, which is computabl...
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The paper presents the design of fuzzy sliding mode control based on genetic algorithms. An optimal design criterion is not required in the design of a fuzzy sliding mode control. Therefore, we design a fuzzy sliding ...
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The paper presents the design of fuzzy sliding mode control based on genetic algorithms. An optimal design criterion is not required in the design of a fuzzy sliding mode control. Therefore, we design a fuzzy sliding mode controller for the general nonlinear control systems as an optimization problem and apply the optimal searching algorithms and genetic algorithms to find the optimal rules and membership functions of the controller. The proposed approach has the merit to determine the optimal structure and the inference rules of fuzzy siding mode controller simultaneously. Using the proposed approach, the tracking problem of two-degree-of-freedom rigid robot manipulator is studied. Simulation results of the close-loop system with the proposed controller based on genetic algorithms show the effectiveness of the approach.
In this paper a backstepping controller for a nonlinear, MIMO HVAC system is introduced. Feedback linearization method with introduction of a feedback of states and disturbances is used for the purposes of disturbance...
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In this paper a backstepping controller for a nonlinear, MIMO HVAC system is introduced. Feedback linearization method with introduction of a feedback of states and disturbances is used for the purposes of disturbance decoupling and nonlinear model linearization. The backstepping controller is applied to the linearized model of the system. It is shown that by this method, heat and moisture loads can be compensated, considering them as measurable disturbances. In this way the system can adapt itself to load variations fast and without any offset. Finally the simulation results are brought to show the ability of the method to present a controller with high disturbance decoupling and good tracking properties.
This paper introduces robust control architecture for nonholonomic mobile robots. The proposed technique linearizes and decouples the nonlinear and coupled dynamic equations of the robot by computed torque approach. S...
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This paper introduces robust control architecture for nonholonomic mobile robots. The proposed technique linearizes and decouples the nonlinear and coupled dynamic equations of the robot by computed torque approach. Since the computed torque technique requires the exact knowledge of the corresponding nonlinear dynamics, therefore, any mismatch in this regard may leave some nonlinear and also uncertain parts in the resulting system. The effect of mentioned parts may be compensated via a robust controller. As a result, in the present work, the remaining uncertainty is compensated by the H/sub /spl infin// technique, which requires the boundedness of the uncertain part. It is shown that the elements of the said uncertainty are L/sub 2/ -bounded. Numerical simulations demonstrate the effectiveness of the proposed H/sub /spl infin// based robust control scheme.
In this paper, a method to design a nonlinear optimal controller using approximate solution of the HJB equation is presented. Using this method, the power system stabilizer is designed. In order to regulate generator ...
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ISBN:
(纸本)0780379241
In this paper, a method to design a nonlinear optimal controller using approximate solution of the HJB equation is presented. Using this method, the power system stabilizer is designed. In order to regulate generator terminal voltage to its nominal value, we use a simple neuro-automatic voltage regulator. The final control action is the sum of nonlinear optimal controller and neuro-voltage regulator. Also, the advantages of the controller with nonlinear feedback in some grounds like increasing domain of validity of the system are shown. Simulation results show that the nonlinear control action exhibits a better performance compared to that of corresponding linear counter part. As a result, the fault tolerance of the system using the nonlinear control law is increased. Also, the proposed voltage regulator, which can be trained on-line, shows satisfactory performance.
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