CONSYS: Control Optimization for Non-minimum Phase System via Series
Cascade Structure
Abstract
This work elucidates the control of integrating non-minimum phase system
via series cascade scheme with fractional-order P.I.
(Proportional–Integral) plus D (Derivative) controller. The traditional
Internal Model Control (IMC) is adopted for inner loop controller
design. The feedback D controller is synthesized with the outer loop
process model, which shows the work’s universality. The outer loop
controller is suggested in the IMC framework after accountability of
fractional-filter and inverse response compensator. This combination is
revealed to enhance performance without compromising the robustness. The
Riemann sheet principle is explored to compute the stability of the
suggested controller. The sensitivity analysis has asserted the
robustness. More importantly, the optimal value of controller settings
is achieved via the Teaching Learning Based Optimization (TLBO)
algorithm. This TLBO algorithm uses an objective function that minimizes
Integral Square Error (ISE). Two illustrative problems are utilized to
examine the recommended control structure’s virtue.