Robustness Analysis of a Distributed MPC Control System of a Turbo-Generator Set of a Nuclear Plant – Disturbance Issues

Event-Triggered Communication in Cooperative, Adaptive Model Predictive Control of a Nuclear Power Plant’s Turbo–Generator Set

“…In their previous papers, the authors described the results of research on the method of optimizing the operation of a pair of MPC controllers of the turbine and generator by exchanging information between system elements. The analysis of the possibilities of optimizing communication itself seems to be a natural next step in development of the previous studies [13]. This paper extends the previous work of the authors with the use of event-triggered communication.…”

“…The referred system consists of seven elements: a control object (here: a turbogenerator set consisting of a steam turbine and a synchronous generator on a common shaft), two controllers (the controllers' variables are described in Table 1), two measuring systems, and two actuating systems (Figure 1), which constitute the final system of interconnected objects (the detailed description of the elements can be found in the previous works [13][14][15][16]. These objects are connected with each other and one of three types of flow occurs on each of these connections [27], namely, the following:…”

“…This paper extends the previous work of the authors with the use of event-triggered communication. Papers [13][14][15][16] describe the idea and methods of implementing and evaluating the cooperative MPC control system with an online model's parameter estimation using the RLS method. This work is fully based on the previously obtained solutions and builds on them by adding event-triggered communication, which aims to reduce the amount of exchanged information and optimize the communication in the system.…”

“…The MPC framework and the models used have already been described twice in the series of previous Energies papers by the authors, published in the earlier stages of this research; thus, an interested reader is kindly asked to refer to [13,14].…”

Generalized super-twisting sliding mode control of permanent magnet synchronous motor based on sinusoidal saturation function

“…Therefore, scholars around the world put forward many controllers to replace PI controllers, such as fuzzy control [6,7,8,9,10], active disturbance rejection control [11,12,13,14,15,16], model predictive control [17,18,19,20,21], adaptive control [22], etc. Sliding mode variable structure control has attracted more and more attention due to its low requirements on model accuracy and strong robustness to parameter perturbation and external disturbance [23].…”