A New Approach of Iterative Learning Control Strategy towards Tuning of Pi Controller in a Spherical Tank Level Process
نویسنده
چکیده
ABSTRACT This paper provides the design and implementation of an Enhanced Iterative Learning control Strategy (EILCS) in a spherical tank level process. The dynamics of the process are described by differential equation and worst case model parameters are identified by influencing the step test technique. By means relay feedback technique, the periodic reference signal is generated and utilized as the input of EILCS loop. From the input and output chattering signals of the EILCS, optimized PI controller parameters are identified using Recursive Least Squares (RLS) fitting technique. The simulation results are furnished to illustrate the effectiveness of proposed method. Robustness is also analyzed.
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