학술논문

Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming
Document Type
Periodical
Source
IEEE/CAA Journal of Automatica Sinica IEEE/CAA J. Autom. Sinica Automatica Sinica, IEEE/CAA Journal of. 11(1):131-140 Jan, 2024
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
General Topics for Engineers
Robotics and Control Systems
Adaptation models
Regulators
System dynamics
Heuristic algorithms
Observers
Mathematical models
Inverters
Adaptive dynamic programming (ADP)
internal model principle (IMP)
output feedback problem
policy iteration (PI)
value iteration (VI)
Language
ISSN
2329-9266
2329-9274
Abstract
In order to address the output feedback issue for linear discrete-time systems, this work suggests a brand-new adaptive dynamic programming (ADP) technique based on the internal model principle (IMP). The proposed method, termed as IMP-ADP, does not require complete state feedback-merely the measurement of input and output data. More specifically, based on the IMP, the output control problem can first be converted into a stabilization problem. We then design an observer to reproduce the full state of the system by measuring the inputs and outputs. Moreover, this technique includes both a policy iteration algorithm and a value iteration algorithm to determine the optimal feedback gain without using a dynamic system model. It is important that with this concept one does not need to solve the regulator equation. Finally, this control method was tested on an inverter system of grid-connected LCLs to demonstrate that the proposed method provides the desired performance in terms of both tracking and disturbance rejection.