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| Optimal PID Controller Design for DC Motor Speed Control System
with Tracking and Regulating Constrained Optimization
via Cuckoo Search
||Metaheuristic optimization approach has become the new framework for control synthesis.
The main purposes of the control design are command (input) tracking and load (disturbance)
regulating. This article proposes an optimal proportional-integral-derivative (PID) controller design for
the DC motor speed control system with tracking and regulating constrained optimization by using the
cuckoo search (CS), one of the most efficient population-based metaheuristic optimization techniques.
The sum-squared error between the referent input and the controlled output is set as the objective
function to be minimized. The rise time, the maximum overshoot, settling time and steady-state error
are set as inequality constraints for tracking purpose, while the regulating time and the maximum
overshoot of load regulation are set as inequality constraints for regulating purpose. Results obtained
by the CS will be compared with those obtained by the conventional design method named Ziegler-
Nichols (Z-N) tuning rules. From simulation results, it was found that the Z-N provides an impractical
PID controller with very high gains, whereas the CS gives an optimal PID controller for DC motor
speed control system satisfying the preset tracking and regulating constraints. In addition, the
simulation results are confirmed by the experimental ones from the DC motor speed control system
developed by analog technology.
|| PID controller, Tracking and regulating, Cuckoo search, Metaheuristics
|| Before proofreading