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.
Highlights
Sensor, controller, and actuator nodes transmit data via networks, which form a kind of complex network control system (NCS)
6.1.2 Results and discussion From Figs. 7 and 8, we can see that the network-induced delays are random, uncertain, and changing over time
It indicates that the proposed new Smith and improved fuzzy immune proportion integration differentiation (PID) algorithm has superior output performance compared with the other two algorithms
Summary
Controller, and actuator nodes transmit data via networks, which form a kind of complex network control system (NCS). 2 Methods/experimental With respect to the problems of delay compensation in MIMO NCS, a modified control method in terms of new Smith predictive and improved fuzzy immune PID method is proposed. A new Smith predictor was applied to move the network delays out of the MIMO closed loop control system.
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