Iterative Learning Control is an effective way of controlling the errors
which act directly on the repetitive system. The stability of the system is the
main objective in designing. The Small Gain Theorem is used in the design
process of State Feedback ILC. The feedback controller along with the Iterative
Learning Control adds an advantage in producing a system with minimal error.
The past error and current error feedback Iterative control system are studied
with reference to the region of disturbance at the output. This paper mainly
focuses on comparing the region of disturbance at the output end. The past
error feedforward
and current error feedback systems are developed on the singular values. Hence,
we use the singular values to set an output disturbance limit for the past
error and current error feedback ILC system. Thus, we obtain a result of past
error feedforward
performing better than the current error feedback system. This implies greater
region of disturbance suppression to past error feed forward than the other.
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