Robustness Quantification of MIMO-PI Controller From the Perspective of \(\gamma\)-Dissipativity

TL;DR

This paper develops a novel method for tuning MIMO-PI controllers based on $ ext{γ}$-dissipativity theory, providing a robust stabilization framework for disturbed nonlinear systems with efficient online computation.

Contribution

It introduces a $ ext{γ}$-dissipativity-based parameter tuning approach for MIMO-PI controllers, integrating dissipativity theory with eigenvalue and LMI formulations for robustness.

Findings

The proposed method achieves effective robust stabilization in simulations.

Eigenvalue and LMI formulations enable efficient online tuning.

The approach enhances understanding of dissipativity in nonlinear MIMO systems.

Abstract

The proportional-integral-derivative (PID) controller and its variants are widely used in control engineering, but they often rely on linearization around equilibrium points and empirical parameter tuning, making them ineffective for multi-input-multi-output (MIMO) systems with strong coupling, intense external disturbances, and high nonlinearity. Moreover, existing methods rarely explore the intrinsic stabilization mechanism of PID controllers for disturbed nonlinear systems from the perspective of modern robust control theories such as dissipativity and $\mathcal{L}_2$-gain. To address this gap, this study focuses on $\gamma$-dissipativity (partially equivalent to $\mathcal{L}_2$-gain) and investigates the optimal parameter tuning of MIMO-PI controllers for general disturbed nonlinear MIMO systems. First, by integrating dissipativity theory with the Hamilton-Jacobi-Isaacs (HJI) inequality, sufficient conditions for the MIMO-PI-controlled system to achieve $\gamma$-dissipativity are established, and the degree of $\gamma$-dissipativity in a local region containing the origin is quantified. Second, an optimal parameter tuning strategy is proposed, which reformulates the $\gamma$-dissipativity optimization problem into a class of standard eigenvalue problems (EVPs) and further converts it into linear matrix inequality (LMI) formulations for efficient online computation. Comprehensive simulation experiments validate the effectiveness and optimality of the proposed approach. This work provides a theoretical basis for the robust stabilization of general disturbed nonlinear MIMO systems and enriches the parameter tuning methods of PID controllers from the perspective of dissipativity.