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New Smith predictive fuzzy immune PID control algorithm for MIMO networked control systems

机译:新史密斯预测模糊免疫PID控制算法,用于MIMO网络控制系统

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摘要

Aiming at the problem of network-induced delays for multi-input multi-output networked control systems (MIMO NCS), a new Smith predictive fuzzy immune PID algorithm is introduced to effectively reduce the adverse effect of network-induced delays about stability in MIMO NCS, firstly, by using the v-norm type to decouple the coupling plant Based on the generalized plant after decoupling, the new Smith predictor is designed. Then, an modified fuzzy immune feedback control algorithm is used to tune PID controller parameters online. When there is a model mismatch or parameter perturbation, the set-point tracking performance and robustness of output response can be significantly optimized. The proposed algorithm does not contain the network delay prediction model and does not need to measure, estimate, or identify the network delay. It can be used in MIMO NCS where the network bandwidth is constrained and the network-induced delays are large. Numerical examples with Ethernet protocol are built to illustrate the correctness and effectiveness of this new algorithm.
机译:针对网络引起的多输入多输出网络控制系统(MIMO NCS)的延迟问题,引入了一种新的SMITH预测模糊免疫PID算法,以有效地降低了网络诱导延迟对MIMO NC中稳定性的不利影响首先,通过使用V-NOM类型将耦合设备与去耦后的耦合设备分离,设计了新的史密斯预测器。然后,修改过的模糊免疫反馈控制算法用于在线调谐PID控制器参数。当存在模型不匹配或参数扰动时,可以显着优化设定点跟踪性能和输出响应的稳健性。所提出的算法不包含网络延迟预测模型,不需要测量,估计或识别网络延迟。它可以用于网络带宽被约束的MIMO NC,并且网络引起的延迟大。构建了具有以太网协议的数值示例,以说明这种新算法的正确性和有效性。

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