Advanced Materials Research Vols. 546-547

Abstract: Aiming at special requirements of temperature control of high-frequency heating furnace, an optimization algorithm that is optimized by adaptive scheduling strategy is proposed by integrating the simulating human intelligent control algorithm and the fuzzy proportion integral derivative control algorithm. Using ARM S3C6410 & WinCE 6.0 platform as the development platform and Visual Studio 2005 as the development tool, a hardware and software system for high-frequency furnace is designed based on technologies of embedded systems, control and communication. This system can control well the temperature of heating objects in a high- frequency heating furnace.

Abstract: BP neural networks requires for the predicted number of hidden layer neurons and the corresponding predicted function. RBF distributed organizations can effectively address a large number of fault information. RBF algorithm is combined with the wavelet. The diagnosis system is simulated for multi-variable nonlinear Tennessee-Eastman Process (Tennessee - Eastman TE process).The results show that the fault diagnosis system based on wavelet RBF algorithm is better than the traditional BP neural networks and improved wavelet BP algorithm, and can effectively solve the problem of fault diagnosis.

Abstract: A novel control scheme for the dynamic voltage restorer (DVR) is proposed to achieve fast response and effective sag and swell compensation capabilities. In this control scheme, the proportional integral control is used to guarantee system dynamic performance and the repetitive control is used to improve voltage waveform quality. Compared to classical proportional integral control, DVR based on this control scheme can restore load voltage almost sinusoidal and shows better transient and steady-state responses when facing sag or swell conditions. The proposed control scheme has been verified by simulation on Matlab. Simulation results show that the control approach performs very effectively and yields excellent voltage regulation.

Abstract: Process industry control put very high demands on the reliability of DCS. Application of Redundancy Fault-tolerant Technology is one of the most effective way to improve the reliability of DCS. In this paper, we elaborated on the implementation scheme of DCS redundancy fault-tolerant in process industry control, which includes the configuration of DCS hardware system redundancy, the redundant fault-tolerant realization method of I/O module, etc.

Abstract: In this paper, We designed Furnace Safeguard Supervisory System (FSSS) of gas-fired boiler, which includes the logic design of sweep control for ignition before and after shutdown, the logic design of sequence control for boiler ignition and blast-furnace gas, the logic design of Master Furl Trip(MFT) and Flame Detection. We achieved a gas-fired boiler furnace safeguard supervisory functions.

Abstract: The robust ASAC(active structure acoustic control) model for the system of structural acoustical coupling is established and the μ-synthesis design is presented in the paper. The main idea is as follows: First, the robust performance problem of this system is transformed into the robust stability problem of an augmented system. Through the robust stability controller for this augmented system is solved by the standard D-K iteration. Simulation results show that μ-controller can provide good disturbance rejection and is more robust to parameter variations.

Abstract: Recently, research in computing connection technology of sensors has great achievement, but usually confined to the static connecting technology. Still limited is the dynamic connecting technology of sensor network. Based on the dynamic link optimization strategy of multi-hoop wireless sensor networks, we propose self-learning and self-adaptive stimulating method. Algorithm proposed in this paper is on the assumption of predictable advance selective, and can be optimized on the coupling data flow. And we apply the standard data to the experiment to testify the effectiveness of the method proposed in this paper.

Abstract: As we all know, noise always exists in any actual signal processing systems; its strength largely determines the working performance of one signal processing algorithm. Once the noise power is higher, many classical algorithms will lose the ability of the solution. In this paper, we propose a novel robust uncorrelated noise filtering method for direction of arrival (doa) estimation at low signal-to-noise ratio (snr) in coherent environment. Under the assumption of uncorrelated noise the proposed method can remove the uncorrelated noise variances from an array covariance matrix effectively. The characteristics of signal coherency structures and the simulation results using the novel method are presented.

Abstract: In this paper, robust fault detection problem for satellite attitude control system is studied. We design the robust fault detection filter for the satellite model with environmental disturbances torques. With the reference residual designed, the main results consist in the derivation of the existence conditions of the fault detection filter. Finally, a numerical example illustrates the feasibility of the proposed approach.

Abstract: This paper investigates the problem of the robust fault detection (RFD) observer design for linear uncertain systems with the aid of the H_ index and the H∞ norm, which are used to describe the problem of this observer design as optimization problems. Conditions for the existence of such a fault detection observer are given in terms of matrix inequalities. RFD problem with structured uncertainties in the system matrices is also considered. The solution is obtained by an iterative linear matrix inequality (ILMI) algorithm. Numerical example is employed to demonstrate the effectiveness of the proposed methods.