Robust Internal Model Control PID Tuning Optimization And Application Based On The Closed-Loop Identification

The closed-loop identification and the advanced process control technology based on the model are important for the research of process control. It is of great significance for theory and application to guide the industrial production and improve teaching practice. Focusing on the closed-loop identification and robust IMC-PID optimal tuning, the PSO algorithm, LMI method and OPC technology are introduced into the design and optimization of complicated industrial control system. According to all of the methods, we developed a tool—Loop-Doctor(registered number: 2007SRBJ3237) which can be used for designing and optimizing the control system in industry applications. The software had been applied to industrial practice. In the thesis, the main research contribution is described as follows: (1) A method about combining the PSO algorithm with closed-loop identification to identify the process model parameters is proposed. According to IMC-PID principle, the PID controllers can be designed and optimized. (2) The robust stability problem analysed by the small gain theorem and soluted by LMI method. Then, two methods was proposed that design robust PID controller based on the principle of Min-Max and LMI. Some examples proved the effectiveness of the two methods. (3) The data collection system was researched following OPC data access and the related knowledge about OPC technology was introduced. Then, the OPC client as data collection application modules was developed in the Visual Basic development environment and successfully applied in the Distributed Control System data access.(4) A design and optimization software—Loop-Doctor was develped in the development platform of Visual C #.net based on the methods. It has been successfully applied to steam catalyst cracking unit in the Beijing academe of Chemical Technology and diesel hydrogenation pilot plant in SINOPEC. The application of the software improved the control system performance significantly and enhanced the product quality and economic benefits.