CAJ | 학술논문

电磁阀的开启响应时间对某水下驱动系统的性能影响较大，为减小并联阀芯式高压电磁阀的开启响应时间，根据开启过程的数学模型，推导了开启响应时间的预测模型，以预测模型为基础，运用多种群遗传算法设计了以开启响应时间为优化目标的电磁阀参数优化程序，对阀的结构参数进行优化，分析了各参数对阀开启响应时间的影响，并以优化后参数加工了试验样阀，对优化结果进行了试验验证。结果表明：在10 MPa压力下，优化后阀的开启响应时间预测值为47.6 ms，试验实测开启响应时间为48.3 ms，优化结果与实测结果误差较小。经优化，阀的开启响应时间减小了约14%，满足了驱动系统的基本要求。该研究为进一步提高驱动系统的驱动性能奠定了基础。
전자벌적개계향응시간대모수하구동계통적성능영향교대，위감소병련벌심식고압전자벌적개계향응시간，근거개계과정적수학모형，추도료개계향응시간적예측모형，이예측모형위기출，운용다충군유전산법설계료이개계향응시간위우화목표적전자벌삼수우화정서，대벌적결구삼수진행우화，분석료각삼수대벌개계향응시간적영향，병이우화후삼수가공료시험양벌，대우화결과진행료시험험증。결과표명：재10 MPa압력하，우화후벌적개계향응시간예측치위47.6 ms，시험실측개계향응시간위48.3 ms，우화결과여실측결과오차교소。경우화，벌적개계향응시간감소료약14%，만족료구동계통적기본요구。해연구위진일보제고구동계통적구동성능전정료기출。
An underwater driving system requires a high-pressure solenoid valve with a high flow rate and high speed. A novel solenoid valve with parallel spools was proposed to meet the demand. The opening response time of the solenoid valve had a great influence on the performance of the underwater driving system. In order to reduce the opening response time of the novel parallel-spool pneumatic pilot operated high-pressure solenoid valve, an optimal design method was proposed. First, a mathematical model of the opening process of the valve was built up. A prediction model of the opening response time of the valve was deduced from the mathematical model established. In the prediction model, the opening response time was subdivided into four parts including the armature preparation time, the armature movement time, the exhaust time of the control chamber, and the movement time of the main valve spool. The corresponding formulas to solve the response time were derived. Secondly, based on the prediction model, an optimization program of the parameters of the pilot valve was designed by using a Multi-population Genetic Algorithm which was developed from a Standard Genetic Algorithm. The optimization program was written in MATLAB programming language using the Sheffield Genetic Algorithm Toolbox. To reduce the opening response time, four key parameters including the nominal diameter of the pilot valve, the radius of the armature, the width of the coil, and the length of the coil needed to be optimized. After optimization, the opening response time of the valve was 47.6 ms which was reduced by 14%. The impact of the key parameters on the opening response time of the valve was discussed respectively by using the optimization program. With the increase of the nominal diameter of the pilot valve and the length of the coil, the opening response time of the valve first decreases and then increases. Namely, there are optimal values for those two parameters. The opening response time fluctuated with the increase of the diameter of the armature, but the amplitude was small. Along with the rising of the width of the coil, response time was slightly decreased at first, then increased rapidly. On the basis of the analysis, multiple local extremums were found. That will result in many difficulties to the algorithm in converging to the global extremum. The optimization of the solenoid valve was an optimization with multiple local extremums. The optimization algorithm should possess a good capability to search for a global optimum. The optimization results obtained by using the Multi-population Genetic Algorithm showed that the optimization program designed was effective. Compared with the Standard Genetic Algorithm, the Multi-population Genetic Algorithm performed much better than the Standard Genetic Algorithm in avoiding the premature phenomenon, and its convergence speed was faster. At last, a test prototype of the novel valve was processed based on the optimized parameters and an opening response test of the valve was carried out. The experimental results showed that the opening response time tested was 48.3 ms at the pressure of 10 MPa, that was 1.5% larger than optimization result. The error between the experiment and the optimization was small. After optimization, the solenoid valve can meet the demands of the underwater driving system well.