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Title: A filter based approach for stochastic performance monitoring of feedback control systems
Keywords: Minimum Variance Control, PI Achievable Performance, Input-Output Pairing, Decouplers, Multivariable Control, Variance Tradeoff Curves
Issue Date: 26-Apr-2005
Citation: MRANAL JAIN (2005-04-26). A filter based approach for stochastic performance monitoring of feedback control systems. ScholarBank@NUS Repository.
Abstract: Any production facility desires consistent high-quality performance of control systems for generating continuous benefits. This work aims to provide tools for performance assessment and enhancement of control loops for handling stochastic disturbances. The best PI/PID controller is used as a benchmark for performance assessment rather than minimum variance controller, owing to the fact that 95% of industrial controllers are of PI/PID type. A filter based approach is proposed to answer the following key issues related to performance monitoring of control loops: 1. PI achievable performance assessment for SISO and multiloop control systems.2. Evaluation of best achievable performance with the alternate I/O pairing.3. Estimation of possible performance enhancement with the decouplers.4. Assessment of performance improvement possible with a multivariable controller. 5. Tradeoff curve between output variance and control effort (for PI controllers).
Appears in Collections:Master's Theses (Open)

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