In this paper the Fault Detection and Identification (FDI) filter which identifies the different actuator and sensor failures is designed. The FDI filter design is based on the weighted H ∞ filtering. It uses the Lin...
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In this paper the Fault Detection and Identification (FDI) filter which identifies the different actuator and sensor failures is designed. The FDI filter design is based on the weighted H ∞ filtering. It uses the Linear Parameter Varying (LPV) model of the vehicle, in which the forward velocity is selected as a scheduling parameter. The LPV based FDI filter design is demonstrated in varies vehicle manoeuvres.
作者：
万雄高益庆汪元美Institute of Automation of Nanjing University of Aeronautics and Astronautics
Nanjing 210016 Department of Test and Control Engineering Nanchang Institute of Aeronautical Technology Nanchang 330034 Department of Test and Control Engineering
Nanchang Institute of Aeronautical Technology Nanchang 330034 Department of Test and Control Engineering
Nanchang Institute of Aeronautical Technology Nanchang 330034 novel 3-D temperature field reconstruction method is proposed in this paper which is based on multi-wavelength thermometry and Hopfield neural network computed tomography. A mathematical model of multi-wavelength thermometry is founded and a neural network algorithm based on multiobjective optimization is developed. Through computer simulation and comparison with the algebraic reconstruction technique (ART) and the filter back-projection algorithm (FBP) the reconstruction result of the new method is discussed in detail. The study shows that the new method always gives the best reconstruction results. At last temperature distribution of a section of four peaks candle flame is reconstructed with this novel method.
A novel 3-D temperature field reconstruction method is proposed in this paper, which is based on multi-wavelength thermometry and Hopfield neural network computed tomography. A mathematical model of multi-wavelength t...
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A novel 3-D temperature field reconstruction method is proposed in this paper, which is based on multi-wavelength thermometry and Hopfield neural network computed tomography. A mathematical model of multi-wavelength thermometry is founded, and a neural network algorithm based on multiobjective optimization is developed. Through computer simulation and comparison with the algebraic reconstruction technique (ART) and the filter back-projection algorithm (FBP), the reconstruction result of the new method is discussed in detail. The study shows that the new method always gives the best reconstruction results. At last, temperature distribution of a section of four peaks candle flame is reconstructed with this novel method.
In this paper, a direct learning control method for a class of switched systems is proposed. The objective of direct learning is to generate the desired control profile for a newly switched system without any feedback...
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In this paper, a direct learning control method for a class of switched systems is proposed. The objective of direct learning is to generate the desired control profile for a newly switched system without any feedback, even if the system may have uncertainties. This is achieved by exploring the inherent relationship between any two systems before and after a switch. The new method is applicable to a class of linear time varying, uncertain and switched systems, when the trajectory tracking control problem is concerned. A numerical simulation demonstrates the effectiveness of the proposed method.
In this paper, a subband image coding scheme based on Periodic Haar Piecewise-Linear PHL functions is proposed. Effectiveness of the compression for different classes of images is evaluated. The comparison of the comp...
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ISBN:
(纸本)0889863784
In this paper, a subband image coding scheme based on Periodic Haar Piecewise-Linear PHL functions is proposed. Effectiveness of the compression for different classes of images is evaluated. The comparison of the compression quality using PHL, DCT and wavelet transforms is given.
Traditional approaches to controller designs that guarantee fast compensation of load torque and reference variations result in design iterations and most of the time in poorer response for load torque variations. In ...
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Traditional approaches to controller designs that guarantee fast compensation of load torque and reference variations result in design iterations and most of the time in poorer response for load torque variations. In this paper a reference model for desired drive behavior generation and optimization methods has been applied to achieve controller integral time constant lower than the maximum time constant of the PM brushless DC motor drive. Presented simulation results show that using reference model for desired drive behavior generation, it is possible to determine optimal controller parameters for faster (10 time) and better (2 time) load torque compensation than in the case of traditional design of speed controller parameters. Response due to reference input with constrained overshoot has been achieved using a filter in the servosystem input. Thereby, the proposed method demonstrates the design of a speed controller that is optimal for both load torque and reference variations and its verification with simulation are accomplished for a permanent magnet brushless dc motor drive.
In this article the disturbance attenuation problem arising in Failure Detection and Identification (FDI) using detection filters is discussed. The filter is designed using the general Fundamental Problem of Residual ...
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In this article the disturbance attenuation problem arising in Failure Detection and Identification (FDI) using detection filters is discussed. The filter is designed using the general Fundamental Problem of Residual Generator(FPRG) algorithm and it is assumed that decoupling the failure modes from the deterministic disturbance is not possible. The disturbance attenuation is achieved by applying H ∞ filtering concepts. Numerical example is shown to demonstrate the effect, of the worst case disturbance rejection on residuals that are sensitive to failure directions.
Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the c...
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Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the contribution of the plant uncertainty to the tracking QFT bounds through a serious study of tracking bound formulas. From this, a methodology for uncertainty fragmentation is developed. It hopes to loosen the bound toughness, or the control design trade-offs. Better feedback benefits can be achieved while reducing the high-frequency amplification of noises and disturbances at the plant input at the same time. Different QFT controllers in a controller-scheduler structure should drive different uncertainty boundaries.
Designing a discrete nonlinear H/sup /spl infin// control law requires solving the discrete Hamilton-Jacobi-Issac (DHJI) equations, which are a set of mixed nonlinear partial and algebraic differential equations. An a...
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Designing a discrete nonlinear H/sup /spl infin// control law requires solving the discrete Hamilton-Jacobi-Issac (DHJI) equations, which are a set of mixed nonlinear partial and algebraic differential equations. An algorithm for obtaining the Taylor series solution of DHJI equations was given in which showed that the coefficients of the Taylor series solution were governed by an algebraic Ricatti equation, and a sequence of linear algebraic equations. in this paper, we will further apply the algorithm to design a third order H/sub /spl infin// controller for the well known inverted pendulum system. Simulation is given to show the performance of the third order controller in stabilization and disturbance attenuation.
In this paper, we propose a deterministic approach to the robust filtering problem for a class of uncertain nonlinear systems. Based on polynomial Lyapunov functions and a relaxation technique, we derive linear matrix...
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ISBN:
(纸本)0972184449
In this paper, we propose a deterministic approach to the robust filtering problem for a class of uncertain nonlinear systems. Based on polynomial Lyapunov functions and a relaxation technique, we derive linear matrix inequalities conditions that minimize an upper-bound on the finite horizon 2-norm of the estimation error for all admissible uncertainty and input signals (including disturbances and measurement noise). Through a simple redefinition of the Lyapunov matrix, we extended the results for the reduced-order case without considering non-convex rank constraints.
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