Applied Mechanics and Materials Vols. 397-400

Abstract: The recursive compensatory fuzzy neural network model was established against the characteristics of temperature control for film laminating machine. The neural network can be used to construct the fuzzy system, and the self-adaptive and self-learning capability of neural networks was used to automatically adjust fuzzy system parameters, BP network could be learned and trained by the gradient descent algorithm. Based on the test data for the study and testing of network, system error is less than the national standard error requirements, the results proved the effectiveness and feasibility of the algorithm.

Abstract: In view of the traditional wired sensing network PLC control system wiring difficulty, the equipment mobilized shortcoming, this article has designed based on the ZigBee wireless communication pharmaceutical factory automation control system. Using the ZigBee technology realization wireless sensing network, completes automatically to the plant production in various parameters monitor, the analysis, processing, automatically does not conform to the request parameter to completely or the part production process in to carry on the adjustment. This design uses the LabView software to replace the configuration software to complete the backstage the movement. Using LabView to carry on the instrument system the design, the examination and the realization, may reduce the system the development time, enhances the production efficiency. This system has the broad application prospect.

Abstract: In the current paper, a new fractional order hyperchaotic system is discussed. Using the activation feedback control, the synchronization of a new fractional order hyperchaotic system is implemented based on the stability theory of fractional order systems. Numerical simulations are demonstrated the effectiveness.

Abstract: In order to extract the fault feature validity in early fault diagnosis, method based on kernel principal component analysis and genetic programming (GP) is presented. The time domain features of the vibration signal are extracted and the initial symptom parameters (SP) are constructed. Then the combination to the initial SPs is carried on to optimize and build composite characteristics by GP. Through kernel principal component analysis (KPCA), the nonlinear principal component of the original characteristics is produced. Finally, the nonlinear principal components are selected as the feature subspace to classify the conditions of rolling bearing. Meanwhile, the within-class and among-class distance is introduced to compare and analyze the bearing condition recognition effect by using KPCA and GP plus KPCA separately. Experimental results show that the features extracted by kernel principal component analysis and genetic programming perform better ability in identifying the working states of the rolling bearing.

Abstract: Base on the Fuzzy Logic(FL) control theorem, the Self-tune FL PID controller is designed in which the base rules of operator experience were combined. In MATLAB simulation, when system uses the same parameters, the Self-tune FL PID controller’s over-adjust decreases by 17% compared to the conventional PID controller. That applying Self-tune FL PID controller to control the damper’s position in VAV system is able to achieve the steady and less energy consumption system.

Abstract: An intelligent home system controlled via GSM, GPRS and the Internet was developed to investigate the control system of intelligent home. The home environment including concentration of carbon dioxide, UV intensity, light intensity, smoke concentration, temperature and humidity were real-time transmitted to the host computer monitoring platform. The intelligent home system supports four different control methods with the remote control functions of household appliances, security locks of doors, lighting system and smart curtains realized through a variety of network.

Abstract: A self-adaptive PID tuning scheme is presented for the electro-hydraulic servo loading system. It requires the least squares method to identify the parameters of the transfer function of the electro-hydraulic servo loading system and utilizes the improved lbest PSO algorithm to optimize the PID controller. The scheme can provide the optimal PID parameters so that the dynamic performance and stability of the electro-hydraulic servo loading system are improved. Results show the fact that the dynamic performance and stability of the system are improved by the scheme. And in terms of optimization of PID controller, the improved lbest PSO algorithm is better than the lbest PSO algorithm and Ziegler-Nichols method.

Abstract: In view of automotive power-train magnetorheological (MR) mount system with nonlinearity and uncertainty, which is difficult to control, the fuzzy PID control method was proposed and studied. Based on the analysis of two-degree of freedom vibration isolation system model, the fuzzy PID controller for the control model of MR semi-active mount was designed and its simulation analysis was carried out. The simulation results indicate that MR mount combined with the fuzzy PID control method can effectively reduce the body acceleration and the force transferred to the frame. This research provides a reference for further research and development of MR mount.

Abstract: This study mainly addresses the adaptive control for the levitation system in presence of mass variation. Firstly, considering the nonlinear of levitation system, the feedback linearization is applied to achieve the global stabilization. Due to the additions of luggage and passengers, the variation of mass degrades the dynamic performance of levitation system, it is necessary to estimate and cancel the effect of mass variation. So an algorithm to estimate the mass of levitation system is proposed and integrated to adjust the parameters on line. The results of simulations show that excellent closed-loop performance is provided in the presence of mass variation.

Abstract: A scheme for analog controlling module detection system is fixed basing on the test signal analysis of smart munitions control cabin. The key detection signal of control module can be simulated with PC104 bussing technique, and the structure and working principle of data acquisition system is described. The test data can be acquired and processed by this system, which has such following merits: high precision, complete parameters, operation easy and reliable.