Applied Mechanics and Materials Vols. 128-129

Abstract: This paper proposes a novel method called arithmetic operations to analyze and process the generated voltage-signal from the single pair-pole magnetic encoder. Dual orthogonal voltage-signals are generated by two vertical hall sensors which are placed in the bottom of a columned magnet. When signals pass A/D converter, the quadrant determination, arithmetic operations and nonlinear correction in FPGA chip are performed before the values of rotational angle are displayed on the LED. This paper also designs and implements the single pair-pole magnetic encoder which has advantages such as high-speed, high-resolution and high-accuracy in the area of angle measurement.

Abstract: This paper investigates the controllability of discrete-time multi-agent systems with leaders via switching topology. The results show that a multi-agent system can be switching controllable even if each of its subsystem is not controllable, by appropriately selecting some agents as the leaders and suitably designing the neighbor-interaction rules via a switching topology. Meanwhile, the controllability of systems can be only determined by the information from the leaders to the followers. Example and simulations are given to illustrate the theoretical results.

Abstract: Chaotic phenomena in permanent magnet synchronous motors (PMSM) can be observed when parameters in PMSM are in a certain range. In general, chaos will degrade the performance of PMSM or even collapse the system. In order to suppress the chaos in PMSM, cascade adaptive control is utilized in this paper. Faithful model of PMSM is not necessarily required by using adaptive control based on dynamic compensation mechanism. By choosing appropriate controller parameters, chaos will be eliminated and the response speed can be tunable. Numerical simulation results for nominal case and parameter perturbation case are given out to confirm the cascade adaptive control is valid in chaos control of PMSM.

Abstract: Active power filter is a widely used harmonic suppression and reactive power compensation, it can on the smart grid in the harmonic and reactive to better dynamic compensation. This paper analyzes the parallel active power filter compensation principle, the use of DC voltage loop control that contains the i_p-i_q method for the detection of smart grid command current and fixed delay loop current tracking control method for shunt APF current tracking control using Matlab / Simulink simulation model build and control the angle from a different instance of simulation. The simulation results shows that different nonlinear load thyristor firing angle, fixed delay loop current tracking control can be effective in real-time tracking control, real-time simulation model system can detect the operation command contained in the current system, and effective compensation, to achieve the desired results.

Abstract: The non-fragile guaranteed cost control is discussed for the polytopically uncertain switched discrete time systems with multi-delays in states and inputs. Based on the piecewise quadratic Lyapunov functions, the synthesis approach of the delay-dependent non-fragile guaranteed cost controllers is proposed. By the obtained control law, the perturbed switched discrete time systems can be asymptotically stabilized and the close loop cost is not greater than a specified upper limit for all admissible uncertainties. The numerical example is given to illustrate the validity of the presented controller design method.

Abstract: Due to the influence of artificial factor and slow convergence of particle swarm algorithm (PSO) during parameters selection of support vector machine (SVM), this paper proposes a modified particle swarm optimization support vector machine (MPSO-SVM). A Steam turbine vibration fault diagnosis model was established and the failure data was used in fault diagnosis. The results of application show the model can get automatic optimization about the related parameters of support vector machine and achieve the ideal optimal solution globally. MPSO-SVM strategy is feasible and effective compared with traditional particle swarm optimization support vector machine (PSO-SVM) and genetic algorithm support vector machine (GA-SVM).

Abstract: To optimize the storge and retrieval process for Plasma Display Panel (hereafter abbreviated as PDP) panel aging, one dynamic cargo location allocation method is proposed, and one access time model is also established to achieve the shortest location allocation for the PDP panel aging steroscopic warehouse based on expert system. The constraints of the optimization model include redundancy requirements of steroscopic warehouse, PDP panel aging stacker running speed, time requirements, in-out warehouse strategy requirements and so on. Tests show that the dynamic location allocation system of the PDP panel aging steroscopic warehouse based on expert system is of high stability and can save energy consumption and time consumption in the access process, thus meets the actual requirements of production.

Abstract: Eye statement is one of the most important factors reflecting driver fatigue. A novel eye statement recognition method for driver fatigue detection based on Gabor transformation and Hidden Markov Model is proposed in this paper, in which, the eye detection algorithm is borrowed from Zafer Savas' TrackEye software, and Gabor features, i.e. the eye state features, of the eye are extracted by using Gabor wavelet. After that, by using these features, the classifier is trained by HMM (Hidden Markov Model) to distinguish the eye states including fatigue and alert, then the consecutive five frames are considered to judge whether there exists driver fatigue or not. Simulation results show that the new method has good accuracy and effectiveness.

Abstract: In order to achieve high speed and high reliability of face detection system, a feature-based template-matching algorithm to detect a key part between the two eyes used. The method is achieved through divided a filter into six rectangular. The face detection process adopts the “integral image” theory. Just calculating the information of around the eyes, eyebrows, and nose area, aspect ratio of the value of the SSR filter is set to 2.22:1 through the experimental which improved the SSR algorithm. Using the advantages of gray-level information, it has better reliability on the changes in light conditions. The experiment result shows that the accuracy rate of the standard frontal face detection is 95%; to monitoring images, the accuracy rate of the “eyes - human face” window location detection is 90%