Search Results - "Muralidharan, Guruprasath"
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Structural analysis based sensor measurement fault diagnosis in cement industries
Published in Control engineering practice (01-07-2017)“…This investigation presents a fault diagnosis methodology for detecting sensor faults in cement industries pyro processing section. It works in three steps:…”
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Energy optimization using metaheuristic bat algorithm assisted controller tuning for industrial and residential applications
Published in Transactions of the Institute of Measurement and Control (01-04-2018)“…The advent of model based control provides optimization and constrained control capabilities that can be tailored to specific goals. Metaheuristic algorithms…”
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A comprehensive review on Advanced Process Control of cement kiln process with the focus on MPC tuning strategies
Published in Journal of process control (01-01-2023)“…The cement kiln is one of the major energy-intense processes that need efficient controllers to minimise fuel consumption, enhance clinker production, and…”
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Integration of genetic algorithm tuned adaptive fading memory Kalman filter with model predictive controller for active fault-tolerant control of cement kiln under sensor faults with inaccurate noise covariance
Published in Mathematics and computers in simulation (01-01-2022)“…Reliable control of cement kiln under sensor faults is vital to ensure cement clinker quality. To accomplish this objective, an active fault-tolerant control…”
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Two-tier search space optimisation technique for tuning of explicit plant-model mismatch in model predictive controller for industrial cement kiln process
Published in Mathematics and computers in simulation (01-03-2022)“…Optimal control of cement kiln is demanding to ensure cement quality and minimal energy usage in cement industries. Plant-model mismatch (PMM) in the…”
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Digitalization, Control and Optimization for Cement Plants
Published in Computer Aided Chemical Engineering (2021)“…In this paper, we present digitalization, control and optimization for entire cement plants based on model predictive control (MPC) technologies. We provide an…”
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