A sliding mode control scheme is presented in αβ frame for grid-side PWM rectifiers in wind power generation systems. The positive and negative sequence voltages are needed to design the controller, nevertheless, th...
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This paper studies the simultaneous fault detection and control problem for linear uncertain discrete-time systems. A design procedure dealing with polytopic uncertainties is proposed for residual generation, where bo...
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UHV long transmission line takes on distinct characteristics of distributed parameters, and it has great capacitive currents. Traditional phase segregated current differential protection is severely influenced by dist...
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In this paper, a new adaptive weight computation algorithm for a robust array antenna is presented to improve the shortcoming of linearly constrained adaptive beamformerpsilas sensitivity to the mismatch between the p...
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In this paper, a new adaptive weight computation algorithm for a robust array antenna is presented to improve the shortcoming of linearly constrained adaptive beamformerpsilas sensitivity to the mismatch between the prescribed and actual direction of arrival (MPDOA).The adaptive array minimizes the mean output power under the direction constraint that the mean square deviation between the desired and actual responses satisfies a certain magnitude bound. A new efficient and accurate approximation of the continuous direction range integration is derived and an equivalent inequality constraint is given, and it is proved that the solution occurs on the inequality constraint bound, then the Lagrange multiplier method and the Newtonpsilas one are united to solve the equivalent equality constrained minimization problem. Some computer simulation results show that the superior performance of the proposed beamformer in the robustness against MPDOA and high SINR than the existing directionally constrained beamforming algorithms.
We design a complete platform of wireless acoustic sensor network, featuring with compressive sampling and adaptive sampling. The compressive sampling is a new theory that combines sampling and compression into a sing...
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ISBN:
(纸本)9780889868106
We design a complete platform of wireless acoustic sensor network, featuring with compressive sampling and adaptive sampling. The compressive sampling is a new theory that combines sampling and compression into a single linear measurement process. It captures signals at a rate significantly below the Nyquist rate, and recovers exactly the original signals using convex optimization or greedy algorithm. In addition, we adopt an adaptive sampling scheme, in which the sampling rates can be changed with the running stages. The detective stage works at a lower rate than the monitoring stage. There is only one sensor node running at monitoring stage for the interested event. Through experiments, we illustrate that the wireless acoustic sensor network we built achieves dramatic low sampling rate and utilizes the network bandwidth much more effective.
In this paper, a novel fault detection scheme is presented for networked controlsystems with random delays and noises. Since the random noises and delays existed in networked controlsystem are probably non- Gaussian...
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A novel control method is proposed for networked controlsystems with nonlinear process,probably non-Gaussian process noise and time *** performance index of closed loop controlsystem consists of entropy,mean value a...
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A novel control method is proposed for networked controlsystems with nonlinear process,probably non-Gaussian process noise and time *** performance index of closed loop controlsystem consists of entropy,mean value and control energy *** stochastic control methods for networked controlsystems are given under the same general *** method utilizes gradient optimal techniques to obtain an optimal control law,and the stability of closed loop systems is *** other method gives the optimal solution of control law *** implementation issues are *** sliding window techniques and non-parametric probability density function estimation techniques are employed to obtain the entropy of tracking error *** a result,the controller can be on-line ***,the methodology is illustrated by simulations.
A sliding mode control scheme is presented in αβframe for grid-side PWM rectifiers in wind power generation systems. The positive and negative sequence voltages are needed to design the controller, nevertheless, the...
详细信息
ISBN:
(纸本)9781424427994
A sliding mode control scheme is presented in αβframe for grid-side PWM rectifiers in wind power generation systems. The positive and negative sequence voltages are needed to design the controller, nevertheless, the positive and negative sequence currents are not needed. This scheme is compared with the dual current control scheme in the rotating frame d-q. The simulation results show that sliding mode control scheme can realize unit power factor operation when the amplitude is unbalanced.
In this paper,a new fuzzy system model structure-Interval T-S Fuzzy Model（ITSFM） is *** from interval regression analysis,the interval arithmetic is incorporated with classical T-S fuzzy model and the parameters in ...
In this paper,a new fuzzy system model structure-Interval T-S Fuzzy Model（ITSFM） is *** from interval regression analysis,the interval arithmetic is incorporated with classical T-S fuzzy model and the parameters in consequent part of the ITSFM model become to be ***,the outputs of the proposed ITSFM are *** addition,we define fuzzy interval set,center membership function and radius membership function for intervals and an arithmetical operation between a constant interval and a general real *** the proposed ITSFM is applied to identification of nonlinear interval dynamic system based on the measured interval *** results are then presented that indicate the validity and applicability of the proposed ITSFM.
A new model reference direct adaptive sliding mode control(MRDASMC) approach for electromechanical actuator(EMA) is *** with parameter variation,external load disturbance,nonlinear structure and unmodelled dynamics in...
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A new model reference direct adaptive sliding mode control(MRDASMC) approach for electromechanical actuator(EMA) is *** with parameter variation,external load disturbance,nonlinear structure and unmodelled dynamics in the system are treated as a lumped *** lumped uncertainty is estimated without the bounds known in advance.A switching function is employed to compensate for the estimated error of the lumped *** the issue of chattering in classical SMC is suppressed as the amplitude of the switching function is tuned with the tracking error by adaption *** adaption law contains a fading factor which can prevent saturation of the control *** stability of the controlsystem is guaranteed by Lyapunov *** results show that the proposed controller can provide favorable performance and is robust to system uncertainties.
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