H_∞ Robust Control Theory In The Application Of Network Control

Considering uncertainty factors exists in controlled system, H_∞ robust control theory is applied to controller design. H_∞ robust controller keep controlled systems stability with outside noise interference and inside uncertainty factors. So an efficient and perfect H_∞ robust controller is designed has important value of practice and research.The design of H_∞ state feedback controller and H_∞ loop shaping controller is researched in this thesis. The controller is got by Lyapunov function. Artificial colony bee algorithm is introduced to find the parameters of controller. Meanwhile, the traditional artificial colony bee algorithm is improved. The main contents are as follows:1. The basic H_∞ problem is introduced. The two commonly methods of Linear Matrix Inequality is solved is used.2. H_∞ loop shaping controller is introduced to keep controlled systems stability with outside noise interference. H_∞ loop shaping controller is influenced by parameters. So in order to ensure the requirement controller is designed, artificial colony bee algorithm is introduced. The simulation experiment results shows that the parameters of the controller are adopt by artificial colony bee algorithm is better than by trial and error of designer.3. Lyapunov function is introduced to get H_∞ state feedback controller. The controller is applied to networked control systems with quantization error. The simulation experiment results show that the designed controller meets the requirements.4. Temperature control system network platform is set up based on User Datagram Protocol network communication protocol. H_∞ loop shaping controller based on improved artificial colony algorithm is applied to the platform to verify the performance of the controller. The simulation experiment results and the actual experiment results show that the parameters of the controller are adopt by improved artificial colony bee algorithm is better than by traditional artificial colony bee algorithm.