A data-driven design method of PID controller with noise filter
A data-driven design method of PID controller with noise filter
复制标题
一种带噪声滤波器的数据驱动PID控制器设计方法
DOI：
10.1002/tee.22552
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发表时间：
2017
影响因子：
1
通讯作者：
M.Saeki,K.Hinokimoto,N.Wada,S.Satoh
中科院分区：
文献类型：
--
作者：
Koichi Kobayashi;Mifuyu Kido;and Yuh Yamashita;M.Saeki,K.Hinokimoto,N.Wada,S.Satoh
当由于反馈引起的测量噪声产生不期望的控制动作时，优选降低噪声灵敏度以改善控制性能并延长设备寿命。针对单输入单输出稳定对象，提出了一种基于数据驱动的带噪声滤波器的比例积分微分（PID）控制器设计方法。该方法在保证稳定裕度和噪声灵敏度的前提下实现了干扰抑制。一种新的基于数据的约束的PID增益推导出约束噪声灵敏度。可以通过求解关于滤波器参数的若干值的PID增益的线性矩阵不等式来搜索解决方案。数值例子证明了充分性。
When undesirable control actions are generated by measurement noise due to feedback, it is preferable to reduce the noise sensitivity to improve control performance and to extend the plant lifespan. In this paper, a data‐driven design method of a proportional—integral—derivative (PID) controller with a noise filter is proposed for stable single‐input single‐output plants using a one‐shot plant response. This method attains disturbance attenuation under constraints of stability margin and noise sensitivity. A novel data‐based constraint on the PID gains is derived to bound noise sensitivity. A solution can be searched for by solving a linear matrix inequality with respect to PID gains for several values of the filter parameter. Numerical examples demonstrate the adequacy.