In order to meet the machine tool could intelligent machining for the new worm wheel gear, a parametric zero programming CNC system is developed based on the modern embedded control technology.The ARM + DSP + FPGA as CNC module hardware platform, and using VS2005 VC + + module development CNC worm wheel grinder processing automatic programming system on the WinCE operating system.Before gear grinding only need to input certain such as the workpiece parameters, tool parameters and process parameters est.through man-machine interface, then the automatic programming software system will check and calculate these parameters, and choose the machining parameters based on process database, finally automatically generate the format NC program for the CNC worm wheel gear grinding machining.
Aimed at the tracking control problem of electro-hydraulic servo systems due to the parameter uncertainties and nonlinear characteristics et al., a robust adaptive backstepping method with parameter adaptive performances was presented based on the Lyapunov stability theory. The adaptive law was designed to suppress the influences of parameter uncertainties on the tracking control performances of the system and the robust control law rendered the system globally uniformly asymptotically stable. In addition, the discontinuity caused by the direction change of the servo valve was approximated. With the servo valve-controlled symmetric cylinder as the control object, the simulation results show that, compared with the traditional PD control method, the proposed backstepping control method renders the tracking error fluctuation of the electro-hydraulic position servo system slighter and the convergence rate faster, and requires a much lower input signal voltage for the servo valve smoother, so the uncertain parameters can converge to and keep at the their stable values after a short period of time. An example proves the effectiveness of the proposed algorithm.
Now the temperature setting value of the spray nozzle in sterilization machine of each temperature zone always depends on experience, lacking of real theoretical basis, leading high energy consumption problem during the beer sterilization process.To solve this problem, the thesis according to the theory of thermodynamics establishes mathematical model of the temperature of spray nozzle and beer, and establish the optimization target association model of energy consumption and the setting temperature of spray nozzle firstly; then use the minimum difference value of the beer actual PU and the theoretical, and the minimum energy consumption of sterilization machine as the optimization objective, using the multi-objective genetic algorithm to solve the multi-objective optimization problem, and obtain the optimal target value, realize low energy consumption.The theoretical and experimental results show that the proposed model is correct and can effectively reduce the energy consumption.
The application of cloud storage and Case-Based Reasoning (CBR) technology in bending process is researched in this paper. Firstly, some of the essential features of cloud computing are briefly discussed with the end-users. Enterprises use the cloud as a platform to store data and support the Case-Based Reasoning technology, for which the core parts are case retrieval and case revise (reuse). Next, the difficulty of evaluating weights of condition attributes in case retrieval and the insufficiency of case revise strategies are stated in the paper. A new instance of the similarity and instance attribute weight calculation algorithm is introduced to solve the problems of similarity measurement and weights assignment in Case-Based Reasoning. Finally, the workflow for Case-Based Reasoning of database is analyzed, and the effectiveness of using this method to determine the recommended in the bending process parameters is demonstrated. Also the importance of knowledge reuse is reflected.
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