Fixed-Order H-Infinity Controller Design for Port-Hamiltonian Systems

TL;DR

This paper introduces a computationally efficient fixed-order H-infinity controller design method for large-scale port-Hamiltonian systems that guarantees passivity and stability without expensive eigenvalue calculations.

Contribution

The authors propose a novel fixed-order H-infinity controller synthesis approach that ensures passivity, reduces computational load, and is particularly effective for large-scale port-Hamiltonian plants.

Findings

Method computes passive controllers that minimize H-infinity norm.

Significantly faster than existing methods for large-scale systems.

Passivity enforcement improves closed-loop stability and performance.

Abstract

We present a new fixed-order H-infinity controller design method for potentially large-scale port-Hamiltonian (pH) plants. Our method computes controllers that are also pH (and thus passive) such that the resulting closed-loop systems is again passive, which ensures closed-loop stability simply from the structure of the plant and controller matrices. In this way, we can avoid computationally expensive eigenvalue computations that would otherwise be necessary. In combination with a sample-based objective function which allows us to avoid multiple evaluations of the H-infinity norm (which is typically the main computational burden in fixed-order H-infinity controller synthesis), this makes our method well-suited for plants with a high state-space dimension. In our numerical experiments, we show that applying a passivity-enforcing post-processing step after using well-established H-infinity synthesis methods often leads to a deteriorated H-infinity performance. In constrast to that, our method computes pH controllers, that are automatically passive and simultaneously aim to minimize the H-infinity norm of the closed-loop transfer function. Moreover, our experiments show that for large-scale plants, our method is significantly faster than the well-established fixed-order H-infinity controller synthesis methods.