Mechanical components, systems and devices
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The assembly line can be regarded as a system consisted of complex disperse events considering the assembly process exists not only time sequence relations but also parallel and competitive relation. This article investigates the methods of modeling the product assembly line system based on information of assembly process flow, combined with the requirement that the auto electrical machine assembly should be adopted to multi-production, and the materiel flow and information flow change complicatedly in product assembly line, the system model of auto electrical machine assembly line is set up based on Petri net. The structure configurations and dynamic properties of the system are investigated by intuitionistic graphics format using Petri net. The operation performance of the system through reachability method is analyzed to optimize the system ensuring the key actions and the pivotal resources. Heuristic scheduling arithmetic is put forward and the emulation results are presented, the auto electrical machine assembly line recombining construction and optimization is achieved. The methods proved to be feasible and effective through the practice run of the product line.
In order to get ideal tension control result, a H∞ robust controller based on mixed sensitivity is put forth for the dynamic instability and parametric uncertainty in the electromechanical tension system. The mathematic model for the dancer arm of tension system is set up through theoretical analysis; Then, the common method for designing robust controller based on mixed sensitivity is formulated; Finally, the weighting functions of mixed sensitivity function and complementary mixed sensitivity function are chosen, and the H∞ robust controller is designed. Comparison with the effect of conventional PID controller, the simulation result shows that the tension robust controller based on mixed sensitivity has excellent performance, such as good robust stability and interference suppression.
During noncircular grinding process (NGP), the crankshaft eccentrically rotates around the crankpin center, instead of itself center. This paper presents an expatriation on the three-sensor tracing principle of crankshaft roundness error measurement. The weighted signals are transformed from time domain to frequency domain using FFT for analysis conveniently. It is discussed for the relationship of the weight function and the various harmonic components of sampled signals. Based on above work, the two-sensor tracing principle is presented for roundness error in-situ measurement of crankshaft. The measurement precision and the measurement error of two-sensor tracing principle are also analysed in this paper. Finally, some experiments are carried using the two-sensor tracing principle, and the conclusion is given contrasted with the compute result using three-sensor principle and off-line measurement, which proves the validity of multi-sensor tracing principle for crankshaft roundness error measurement during NGP.
The input-output energy decoupling is put forth for the complex electromechanical tension system problem including strong coupling, multi-variance, uncertainties, etc. The aim is that an energy of any input controls mainly the energy of a corresponding output and influences the energy of the other as weakly as possible. After the looper height and tension control system has been modeled, a H∞ robust control algorithm based on input-output energy decoupling is proposed in terms of the solution of linear matrix inequalities (LMI). Finally, the input-output energy decoupling algorithm is applied to the tension system, and the simulation results show that the method has satisfactory decoupling performance. The validity of the designed controller is validated.
