专利详细信息

滞后超前校正器结构参数的获取方法及装置

文献类型：专利

专利类型：发明专利

是否失效：否

是否授权：否

申请号：CN201410849162.2

申请日：20141231

发明人：李太福黄迪王坎刘媛媛李迪

申请人：重庆科技学院

申请人地址：401331 重庆市沙坪坝区虎溪大学城重庆科技学院

公开日：20150617

公开号：CN104714408A

代理人：王玉芝

代理机构：11327 北京鸿元知识产权代理有限公司

语　　种：中文

摘　　要：本发明提供一种滞后超前校正器结构参数的获取方法和装置，该方法包括：a)确定自动控制系统被控对象和滞后超前校正器的传递函数结构、以及系统期望的频域特性；b)对于所确定的系统传递函数结构和期望的频域特性，构造相应的神经网络；c)采集所述系统的多个数据样本；d)将所采集到的数据样本输入神经网络中，对该神经网络进行训练；e)获取该校正器的结构参数。使得使用该方法和装置获取滞后超前校正器的结构参数时，只需用户输入系统被控对象的结构参数K、α、β和引入滞后超前校正器后系统期望的频域性能参数γ、ω，就可迅速计算出该校正器的结构参数，从而大大简化了滞后超前校正器结构参数的获取过程，因此，可以缩短滞后超前校正器的设计时间。

主权项：1.一种滞后超前校正器结构参数的获取方法，包括：a)确定自动控制系统被控对象的传递函数结构G_p(s)为： $<math> <mrow> <msub> <mi>G</mi> <mi>P</mi> </msub> <mrow> <mo>(</mo> <mi>s</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mi>K</mi> <mrow> <mi>s</mi> <mrow> <mo>(</mo> <mi>αs</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mi>βs</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow></math>$ 其中，K、α、β为该自动控制系统被控对象的结构参数；确定滞后超前校正器的传递函数结构G_c(s)为： $<math> <mrow> <msub> <mi>G</mi> <mi>c</mi> </msub> <mrow> <mo>(</mo> <mi>s</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mi>s</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mi>b</mi> </msub> <mi>s</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow> <mrow> <mrow> <mo>(</mo> <mi>α</mi> <msub> <mi>T</mi> <mi>a</mi> </msub> <mi>s</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mfrac> <msub> <mi>T</mi> <mi>b</mi> </msub</p><p class='subject'><strong>关键词：</strong><b class='type_ico_id'></b>超前校正 <b class='type_ico_id'></b>结构参数神经网络 <b class='type_ico_id'></b>频域数据样本器结构采集系统传递函数 <b class='type_ico_id'></b>自动控制系统 <b class='type_ico_id'></b>传递函数设计时间输入系统 <b class='type_ico_id'></b>性能参数引入滞后训练 </p><p class='class'><strong>IPC专利分类号：</strong>G05B13/04(20060101)</p>
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