Abstract

This paper presents an extensive analysis of the properties of different control horizon sets in an Extended Prediction Self-Adaptive Control (EPSAC) model predictive control framework. Analysis is performed on the linear multivariable model of the steam/water loop in large-scale watercraft/ships. The results indicate that larger control horizon values lead to better loop performance, at the cost of computational complexity. Hence, it is necessary to find a good trade-off between the performance of the system and allocated or available computational complexity. In this original work, this problem is explicitly treated as an optimization task, leading to the optimal control horizon sets for the steam/water loop example. Based on simulation results, it is concluded that specific tuning of control horizons outperforms the case when only a single valued control horizon is used for all the loops.

Highlights

  • The steam/water loop is a water supply process in a steam power plant with highly interconnected equipment

  • In order to design an effective controller for the steam/water loop, constraints such as: input saturations or rate limits have to be taken into consideration

  • The proposed Extended Prediction Self-Adaptive Control (EPSAC) method is applied to the steam/water loop

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Summary

Introduction

The steam/water loop is a water supply process in a steam power plant with highly interconnected equipment. The ever-increasing system complexity and demand for high performance of this sub-system within the broader operation system of the watercraft pose challenges to operations In this context, an effective control method is required to guarantee safe operation of the steam/water loop. Liu discussed the performance of coordinated control on the steam-boiler generation plant using two non-linear model predictive control methods [12]. One of these methods is the input output feedback linearization technique based on a suitably chosen approximated linear model. (i) receiving more disturbances from the ocean waves; (ii) of smaller capacity; (iii) used at multiple operation points with varying state processes According to these characteristics, there is a need to develop more effective control methods for the steam/water loop.

Scheme
G22 G25 u2
Model Predictive Control with Optimized Control Horizon
Simulation Results and Analysis
Ripple-Free Validation
Influence of Different Control Horizon Sets
Computation
Conclusions
A Robust
Full Text
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