Advanced Materials Research Vol. 787

Abstract: The problem of fuzzy sliding mode control of discrete chaotic system is studied. Discrete chaotic system is described based on T-S fuzzy models, and the system is translated into local linear model by fuzzy method. On the basis of Lyapunov stability theorem and approaching law method, a novel sliding mode controller is designed in the paper. The controller insures the stability of global fuzzy model. The controlled certain and uncertain Henon systems are simulated with Matlab, and the numerical results demonstrate the validity and robustness of the control scheme.

Abstract: Problems trajectory tracking of wheeled robot with uncertainty were studied. The paper proposes an back-stepping PID control algorithms base on Lyapunov theory. Mode was established base on the assumed modes method, Lagrange principle and momentum conservation. The controller is educed by back-stepping design. Complicated system is decompounded to some ordinary subsystem. Control system stability is ensured base on Lyapunov theory. The simulation resulted show that controller can improves the control accuracy and the asymptotic convergence of tracking error. Even bigger errors of beginning are appeared. The presented back-stepping PID controller can reach good control precision.

Abstract: Finding bugs in CMOS Integrated Circuit (IC) layouts is a basic skill for IC design engineers and students alike. The reading process of finding bugs is the basis for learning and teaching in electronic engineering. In this pilot study, eye-movement data was used in analyzing the reading process and nature of five participants (N=5) finding bugs in CMOS layouts. Data analysis of eye movements was based on nine types of ROI (Region of Interest). The ANOVA analysis of eye movements was analyzed. The findings of experimental results included that there were significant differences among the number of fixations of nine types of ROIs. The findings suggest how learners could read the bugged IC layouts effectively and efficiently.

Abstract: The traditional LCL-filter third-order system grid-connected inverter may cause the resonance phenomenon without damping. Also, it will be affected by the distorted grid-voltage background harmonics. In order to overcome these problems, based on the passive damping method, a new control strategy is proposed. The paper analyses the current waveform performance of grid-connected inverter in the condition of grid-voltage background harmonics, derives the feed-forward function for grid-connected inverter. The disadvantages of passive damping could be well solved by damping resistor virtualization of the original system, which realized the active damping suppression of resonance. Simulation results based on the Heric single-phase transformerless grid-connected inverter verify the correctness of the 2éQ: theoretical analysis"theoretical analysis.

Abstract: Squid jigging machine is an important equipment in the oceanic squid jigging fisheries. Now, we have used the intelligent squid fishing machine, though, we have to guard the machine one by one. To reduce the labor on deck, we designed a serial interface circuit between PC and Single Chip Microcomputer (SCM) for the communication within multiple squid jigging machines by the way of RS-485 bus, realizing centralized control of machines. For hardware, we converted TTL level to 485 level by serial interface conversion chip so that SCM could achieve RS-485 interface communication; For software, we customized instruction sets, data package format, communication protocol format. We designed RS-485 bus interface circuit for PC and SCM by simulation software Proteus. Through tests in the field, we knew the circuit makes the connection of centralized control network simple, and signal transmission reliable. We will pay particular attention to the design of communication protocols software, which can provide new thinking of designing about communication within multiple machines for the researchers.

Abstract: This paper brings forward a kind of adaptive neural-sliding model control schemes for uncertain robot trajectory tracking. The first scheme consists of a PD feedback and a dynamic compensator which is composed of RBF neural network and variable structure. The adaptive laws of Network weights are based on Lyapunov function method. This controller can guarantee stability of closed-loop system and asymptotic convergence of tracking errors.

Abstract: The problem of grounding grid fault causes great economic losses, so accurate and efficient fault location is becoming more important. This paper puts forward a new method of fault diagnosis for grounding network.Taking voltage values of test point as fault characteristics and making use of principal component analysis extract fault features from training and test samples, which can eliminate the correlation between the fault symptoms.Taking fuzzy clustering for the samples after feature extraction can get clustering center. By testing sample membership of each sample and each cluster center can diagnose the fault. The outcomes verify that utilizing principal component analysis and fuzzy clustering to solving the fault location of grounding network has good diagnostic effectiveness and efficiency.

Abstract: In this paper,a novel CVT with electronic control and a motor as actuator (EM-CVT) is presented, whose speed ratio can be adjusted by driving the two movable discs of the primary and secondary pulley at the same time. Firstly, the EM-CVT transmission dynamics mode was established based on the analysis of EM-CVT working principle and ratio change characteristics. Secondly, the speed ratio control strategy and control method for EM-CVT was designed according to the EM-CVT features and functional requirements of the control system; Finally, the simulation was carried out to verify the validity of the control strategy and meth

Abstract: This paper focuses on the issue of robustly exponential stability for uncertain neutral systems with mixed time-varying delays and nonlinear perturbations. Some new sufficient conditions dependent on the delays are derived in terms of Lyapunov-Krasovskii functionals combined with free-weighting matrices. Two numerical examples are given to show the effectiveness of the proposed method.

Abstract: Level set method is convenient in image segmentation for the stabilization and veracity. Gaussian filter is usually taken as a preprocess to reduce the influence of weak edges due to noises, but the disadvantage is obvious: blur fine structures specially the important boundaries and lead to inaccurate segmentation result. This paper introduces a robust method which filters the images with a Nonlinear Coherent Diffusion (NCD) to accelerate the evolution of level set in a spatially varying manner. Experimental results show the performance of the proposed method in improving precision of segmentation.