Modified Active Disturbance Rejection Predictive Control: A fixed-order state-space formulation for SISO systems

This paper presents a novel control strategy that provides active disturbance rejection predictive control on constrained systems with no nominal identified model. The proposed loop relaxes the modelling requirement to a fixed discrete-time state-space realisation of a first-order plus integrator plant despite the nature of the controlled process. A third-order discrete Extended State Observer (ESO) estimates the model mismatch and assumed plant states. Moreover, the constraints handling is tackled by incorporating the compensation term related to the total perturbation in the definition of the optimisation problem constraints. The proposal merges in a new way state-space Model Predictive Control (MPC) and Active Disturbance Rejection Control (ADRC) into an architecture suitable for the servo-regulatory operation of linear and non-linear systems, as shown through validation examples. (c) 2023 The Author(s). Published by Elsevier Ltd on behalf of ISA. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

This paper presents a novel control strategy that combines state-space model predictive control (MPC) and active disturbance rejection control (ADRC) to provide active disturbance rejection predictive control on constrained systems with no nominal identified model. The proposed strategy relaxes the modelling requirement and incorporates a third-order discrete extended state observer (ESO) for estimating model mismatch and assumed plant states. Additionally, constraints handling is addressed by including a compensation term related to total perturbation in the definition of the optimization problem constraints.