Multivariable Control

This course provides a comprehensive understanding of multivariable control systems used in complex industrial processes. It explains the principles of controlling multiple process variables and manipulated variables simultaneously. Participants learn how multivariable interactions affect process stability, performance, and control quality. The course covers process modeling, system dynamics, and the challenges associated with interacting control loops. It introduces methods for analyzing and designing multivariable control strategies. Participants gain an understanding of decoupling techniques used to reduce interactions between control loops. The course also covers Model Predictive Control (MPC) and its applications in industrial process optimization. Practical concepts related to controller tuning, performance monitoring, and troubleshooting are discussed. The course is relevant to process control, automation, instrumentation, and engineering professionals. It helps participants develop practical knowledge for improving control performance in oil & gas, petrochemical, power, chemical, and manufacturing industries.