Research on Networked Sliding Mode Predictive Controller Based on Particle Swarm Optimization
Yang Yin, Hongke Li, Zhengying Ren
Available Online February 2018.
- https://doi.org/10.2991/csece-18.2018.50How to use a DOI?
- Total Ship Computing Environment (TSCE); Networked Control Systems (NCS); Sliding Mode Predictive Control; Particle Swarm Optimization Algorithm (PSO)
- Aiming at the development of ship information and intellectualization, this paper researched the control law design problems of the network control system under total ship computing environment (TSCE). Firstly, we analyzed and constructed the computing environment network architecture for the development of ship intelligent information technology. Then, the sliding mode predictive control law based on particle swarm optimization was designed for the delay and packet loss problem caused by information network. The control strategy and realization method were analyzed, and the actual control quantity selected at each moment was the optimal sliding mode prediction control signal provided by the actuator. The simulation results showed the effectiveness and robustness of the proposed algorithm.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yang Yin AU - Hongke Li AU - Zhengying Ren PY - 2018/02 DA - 2018/02 TI - Research on Networked Sliding Mode Predictive Controller Based on Particle Swarm Optimization PB - Atlantis Press SP - 237 EP - 241 SN - 2352-538X UR - https://doi.org/10.2991/csece-18.2018.50 DO - https://doi.org/10.2991/csece-18.2018.50 ID - Yin2018/02 ER -