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杜随更, 杨正强, 于龙岐. 摩擦焊机施力系统模糊PI控制方法[J]. 焊接学报, 2011, (12): 17-20.
引用本文: 杜随更, 杨正强, 于龙岐. 摩擦焊机施力系统模糊PI控制方法[J]. 焊接学报, 2011, (12): 17-20.
DU Suigeng, YANG Zhengqiang, YU Longqi. Fuzzy-PI algorithm of load system of friction welding machine[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (12): 17-20.
Citation: DU Suigeng, YANG Zhengqiang, YU Longqi. Fuzzy-PI algorithm of load system of friction welding machine[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (12): 17-20.

摩擦焊机施力系统模糊PI控制方法

Fuzzy-PI algorithm of load system of friction welding machine

  • 摘要: 针对常规摩擦焊机施力系统闭环控制所用PI算法在压力突变阶段控制效果不理想的问题,引入模糊PI算法.根据实际值和设定值的误差及其变化趋势,将整个控制过程分为四个控制区间.在优化模糊控制度基础上,制定了相应的模糊规则和参数确定方法.在文中试验条件下,对比了四个控制区间不同控制参数的控制效果,得到了每个控制区间最佳调整系数.结果表明,采用模糊PI控制的性能指标较传统PI控制方法都有了改善.在文中试验条件下,采用优化模糊控制度和最佳调整系数,最大超调量减少了19.2%,调整时间缩短了1.59 s,稳态精度提高了0.4%.

     

    Abstract: In view of the issues that the control effect of the load system of friction welding machine on pressure mutation phases is unsatisfactory with(proportion integration) closed-loop control algorithm, the fuzzy PI control algorithm is introduced. According to the error and its changing trend of the actual value and the set value, the whole control process is divided into four kinds of control intervals. Based on optimizing the fuzzy control degree, the corresponding fuzzy rules and parameters determining methods are developed. Under the test conditions, the control effects of four control intervals with the different control parameters are contrasted, the best fit coefficients of every control interval are obtained. The performance indicators using fuzzy PI control methods are better than that using traditional PI control methods. Under test conditions with the optimizing fuzzy control degree and the best fit coefficients, the maximum overshoot has been reduced 19.2%, the adjust time has been reduced 1.59 s, and the steady precision has been raised 0.4%.

     

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