Papers by Keyword: Parameter Optimization

Abstract: Vibration suppression of the launcher is an important way to improve the firing accuracy of Multiple Launch Rocket System (MLRS). In order to get a better control result from the course that pulse control mechanism generates pulses to restrain the vibration of MLRS launcher, this paper analyzed the process that pulse thruster control the vibration of launcher under the modulation of pulse width and pulse frequency (PWPF) modulator. And the simulation model of the control system is established through the SIMULINK software in MATLAB. Under repeated modifications of the structural parameters of PWPF modulator, the influence laws of these parameters are found out, and the best structure parameter values are obtained. The final simulation result shows that the vibration in the pitch and lateral direction is greatly reduced. It is a big help to improve the firing accuracy of MLRS.

Abstract: This paper proposes parameter optimization method of GP-MSE based on extraction parameters model. First, we identify the function relationship between dependent and independent variables by using neural networks. Second, independent variable set is made by interpolating the original independent variables, and then input these independent variables to fitted function to generate the dependent variable set. Last, we find the maximum value on dependent variable set to confirm the optimal parameters. Experimental result shows that the proposed method is not only simple and fast, but also ideal for recovery of single analyte.

Abstract: Second-order IIR low-pass filter is widely used in digital signal processing. A fast filter algorithm without multiplication is proposed for it in this paper. A configuration method for the filter coefficient of fast algorithm is put forward, considering the characteristic of second-order IIR low-pass filter coefficient and the filter’s mathematical model. A performance analysis of fast second-order IIR low-pass filter without multiplication is shown in the paper, and the performance of the fast filter is shown by example using MATLAB simulation. What’s more, the algorithm’s rapidity is verified by an implementation of the filter on FPGA, which turns out that fast filtering algorithm takes only 54.7% of common algorithm’s operation time to realize the same filer function.

Abstract: Establish the mathematical model of feeding velocity in Rubber Roller Husker vibrating feeder through analyzing the material movement, and determine the relational expression according to the theory analysis of material movement in the feeder. Analyzing the influence of groove obliquity angle , vibrating direction angle, frequencyand amplitude, which are simulated numerically by using the MATLAB software, and optimizing the material theoretical speed are the main objective. The optimal parameters of transmission and the experimental verification can provide more reference for the design of the Rubber Roller Husker vibrating feeding system.

Abstract: The application of tuned mass dampers (TMDs) to offshore wind turbines has a huge potential to suppress the large vibration responses of these systems. Control module of TMDs is added into the wind turbine structural dynamics simulation code FAST and fully coupled aero-hydro-TMD-structural dynamics model of the 5MW Barge-type floating wind turbine by National Renewable Energy Laboratory (NREL) is established. A multi-parameter optimization study is performed to determine the optimal parameters of a fore-aft TMD system in the Barge-type model. The wind turbine model equipped with the optimal TMD is then simulated under five typical load conditions and the performance of the new system is evaluated. The results show that longitudinal loads at tower base and deflections at tower top reductions of up to 50% and longitudinal loads at blade root and deflections at blade tip reductions of up to 40% are achieved, which indicates that the optimal TMD can be used to suppress the vibration response of offshore wind turbines and also demonstrates the potential for TMD structural control approaches.

Abstract: Modeling and finite element analysis functions were combined in Solid Edge to optimize gear parameters. Gear parameters optimization objective and procedure in different conditions were summed up. A complete Excel file was created. An involute gear parametric model was established which was interlinking with the Excel file. And the model’s accuracy would not alter with the diameter’s change. The wizard software for gear drive design and parameter optimization was developed on platform of Solid Edge by Visual Basic tool. This application can guide users getting the initial parameters and optimizing the parameters by the circling method of diminishing parameters, analyzing the precise gear root stress with Femap Express module, and diminishing them again. Users can get a gear model which has a smaller diameter and smaller module and satisfies strength demands.

Abstract: Currently, PID controllers have been widely used in industrial control. And computer control systems are widely used in the field environment. How to design a discrete PID controller which has a good control performance is very important for existing control objects. In this paper, particle swarm optimization and quadratic performance index are used to optimize the control parameters of the discrete PID controller. The optimized results are given at last. By simulation studies and analysis, the optimal parameters of the PID controller are found by particle swarm optimization algorithm, and the quadratic performance index has a good effect on optimal control.

Abstract: This article analyzes the influence of different branch number, branch length, branch angle on the productivity of the herringbone well. It also summarizes the strongest influence parameters and the weakest influence parameters. Provide theoretical guidance for the formulation of herringbone well development plan. The results show that the maximum effect parameter is branch length, then branch number and branch angle the weakest.

Abstract: A laser direct joining (LDJ) experiment of titanium alloy (Ti-6Al-4V) and carbon fiber reinforced nylon (PA66CF20) is presented here using diode laser equipment. Experimental design and experiment of LDJ are carried out according to a single process parameters range obtained from the previous experiment. Response surface methodology (RSM) in Design-Expert v7 software is adopted to establish the mathematical model between LDJ process parameters and joint quality. Then the interaction effects of joining process parameters (laser power, scan speed and stand-off distance) on joint quality are investigated using analysis-of-variance (ANOVA), and the result shows that the interaction effect of laser power and scan speed on joint quality is the greatest. Finally, the predicted values from the mathematical model established by RSM are compared with the experimental values, and the process parameters are optimized to obtain the strongest joint strength. The result suggests that the predicted values are in good agreement with the experimental ones. The purpose of predicting and optimizing joint quality based on reasonable process parameters is achieved.

Abstract: Injection molding is a very complex multi-factor coupling effect and a nonlinear dynamic process. Therefore, under the influence of nonlinear and multi-factor, injection molding goal is to effectively predict and guarantee the quality of injection molded parts. In this paper, the common methods used to predict the quality of injection molded parts are introduced, including: Taguchi method, artificial neural network, response surface method, radial basis function method and Kriging model method. Research progresses as well as application examples of forecasting methods at home and abroad is summarized. Besides, the development trend of the injection molding quality prediction is discussed.