Decentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops

Decentralized proportional-integral-derivative (PID) control systems are widely used for multiple-input multiple-output (MIMO) problems. However, decentralized controllers cannot suppress the plant interactions in multivariable systems, which addressed controller tuning phase. In this paper, a PID method is proposed order to minimize undesirable effects of coupling between inputs and outputs closed-loop system. For purpose, parameter solves nonlinear optimization problem. This problem formulated with criteria performance, robustness stability A single design required specify trade-off performance robustness. Simulation studies conducted demonstrate effectiveness method. The compared that alternative techniques from literature. Results show approach feasible candidate industrial application, as it simple implement capable addressing concerns operators.