engleski

Advanced Process Control Application and Optimization in Industrial Facilities

This paper describes application of new and powerful process control software tool for system identification and PID tuning/advanced process control (APC) optimization using a combination of sequential quadratic programming (SQP) and generalized reduced gradient (GRG) methods. It helps to design and implement control schemes directly inside the distributed control system (DCS) or programmable logic controller (PLC). Also, the algorithm helps to identify process dynamics in closed-loop mode, optimizes controller parameters, and helps to develop adaptive control and model-based control (MBC). Application of SQP- GRG algorithm for designing and implementing APC schemes is presented. Optimization of primary and advanced control schemes stabilizes the process and allows the plant to run closer to process, equipment and economic constraints. This increases production rates, minimizes operating costs and improves product quality.

system identification; controller tuning and optimization; advanced process control; model based control

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