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

• Main Authors: Yinqing Tang, Feng Du, Yani Cui, Yu Zhang
• Format: Article
• Language: English
• Published: SpringerOpen 2018-08-01
• Series: EURASIP Journal on Wireless Communications and Networking
• Subjects: New Smith predictor; Improved fuzzy immune PID (proportion integration differentiation) algorithm; Multi-input multi-output networked control systems (MIMO NCS); Network-induced delays
• Online Access: http://link.springer.com/article/10.1186/s13638-018-1229-8

Abstract 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.