Applied Mechanics and Materials Vols. 433-435

Abstract: Color characterization model for multi-color printing system has become one of the most important research content in high-fidelity reproduction techniques. But, none of the related research considered the effect of multi-level control on color characterization. A color characterization model for multi-level and multi-color printing system was presented based on cellular Yule-Nielson Spectral Neugebauer (CYNSN) model. In the model, multi-level dynamic cell division method based on ink coverage-lightness curve of each level was proposed. Shared regional correction and cell searching algorithm were introduced into backward characterization model establishment which improve the performance of backward model significantly. Finally, the experiments of color gamut discussion, forward model evaluation and backward model evaluation indicate that the characterization model expands the color gamut of printing system, in the meantime, guarantees high conversion accuracy.

Abstract: In order to eliminate the non-commutative error which generates in calculating navigation parameter based on quaternion algorithm, the navigation algorithm based on screw theory is studied in this paper to meet the need of high-precision navigation. Navigation solver mathematical model of SINS is established. Based on screw compensation algorithm, the simulation with the trajectory data of the shell had been done. And it had been compared to the quaternion rotation vector method. The simulation results show that compared to the rotation vector algorithm, the accuracy of attitude has little difference, but the accuracy of velocity and the accuracy of position are both relatively higher precision.

Abstract: to hold the merits of the traditional hysteresis controller, and at the same time, hold back the change of switching frequency and reduce the switching power loss in hysteresis control of PWM rectifier, based on the relationship between line currents and switching status, an improved algorithm of double-hysteresis current control method for three-phase voltage-type PWM converter was proposed. In the strategy, the position of reference voltage vector can be detected by double hysteresis, PLL circuit can detect the output of switching states. The proposed algorithms not only hold the merits of traditional hysteresis, such as quick current response and current limited capacity, but also, it can overcome the drawback of non-fixed switching frequency of traditional hysteresis. The algorithm has been simulated and verified by MATLAB/simulink platform, and the system operates stably.

Abstract: The problems of crime system simulation and control are studied according to the method of relationship mapping inversion, and from the spatio-temporal analysis point of view. The rules of the criminal investigation from existence to evolution are analyzed using theories. Based on this study, the concept of crime entropy is introduced, and resulted in the establishment of a fundamental frame work for the crime simulation system based on spatio-temporal information system. Moreover, a practicable methodology is presented.

Abstract: Based on a heating furnace in metallurgical industry, this paper discusses the theory of double cross limit combustion control. Its an effective way to get a reasonable air-fuel ratio and prevent the black smoke pollution of the environment. And it also can effectively improve the effect of energy saving and make a good economic benefit for enterprises. The simulation curves show a satisfying effect.

Abstract: Due to load simulation system existing strong disturbance, parameters time-variation and nonlinear, there was low control precision, poor adaptive ability and robustness in traditional control algorithm. In order to improve load simulation performance, The RBF-Elman neural network-based adaptive control method is presented. In this way, the load simulator system is identified by the RBF-Elman neural network identifier, which provides model information (Jacobian matrix) to the PID controller and synchronous compensator in order to make it adaptive. Back-propagation algorithms are used to train neural network. The PID controller which is designed by requirement for steady can overcome the shortcoming of the neural network controller. Finally, the simulations confirm that this control scheme results in a quick response, robustness, and excellent ability against disturbance.

Abstract: This paper presents a detailed review of the existing methods of the optimal control of distributed generation system and the state of the art of current research. The research of the optimal control of distributed generation system is summarized in terms optimal dispatch and control strategy. The approach of modeling and analysis for distributed generation system is described in detail. The key difficulties of the theory and technique about the optimal control of distributed generation system are analyzed. The current issues about the optimal control of the system are pointed out at last, and the research orientations of the optimal control of distributed generation system are presented.

Abstract: Traditional textile dyeing industry, which is always based on open-loop control strategy, has the problem of high energy consumption and serious pollution because it is difficult to deal with the direct control problem of the dyeing process. Based on the multi-variable dyeing uptake rate integration model, this paper proposed a closed loop control system using Generalized Prediction Variable Structure Control (GPVSC) algorithm. The integrated model is used as the soft measurement method of the whole closed loop control system, which can solve the problem that it is hard to measure dyeing uptake rate directly during the batch dyeing process. In the aspect of control algorithm, the Generalized Prediction Controller (GPC) was combined with Variable Structure Control (VSC), where the temperature was selected as the control variable, which achieved the control of the dyeing uptake rate during the batch dyeing process. Simulation results show that the algorithm could exactly track and control the dyeing uptake rate during the batch dyeing process.

Abstract: The non-linear characteristics of magneto-rheological (MR) suspension systems have limited control performance of modern control theory based on linear feedback control. In this paper, a four DOF half car suspension model with two nonlinear MR dampers is adopted. In order to account for the nonlinearity, a sliding mode controller, which has inherent robustness against system nonlinearity, is formulated to improve comfort and road holding of the car under industrial specifications and it is fit to semi-active suspensions. The numerical result shows that the semi-active suspension using the sliding mode controller can achieve better ride comfort than the passive and also improve stability.

Abstract: In this paper we propose the application of a robust terminal sliding mode control with fast sliding surface to the ship control problem, which consists of leading the ship along the desired course via automatic changes in the rudder blade deflections. In spite of its robustness to system parameter variations and external disturbances, normal terminal sliding mode control (NTSMC) has a limitation of shattering the input rudder angle command particularly when the ship steering mechanism has a big time constant. Through comparative simulations, we show that the proposed controller with fast sliding surface outperforms NTSMC controller in reducing the chattering in the input signal and the initial swing of the rudder angle in the presence of external disturbances and model uncertainties.