PID2018 Benchmark Challenge: Model-based Feedforward Compensator with A Conditional Integrator
Jie Yuan, Abdullah Ates, Sina Dehghan, Yang Zhao, Shumin Fei, YangQuan, Chen

TL;DR
This paper introduces a novel control strategy combining a feedforward compensator and a conditional integrator for a refrigeration system, demonstrating improved disturbance compensation and steady-state error removal in the PID2018 Benchmark Challenge.
Contribution
It presents a new control approach that enhances PID controller performance using model-based feedforward and conditional integration techniques.
Findings
Effective disturbance compensation demonstrated
Steady-state error eliminated in simulations
Outperforms existing control methods
Abstract
Since proportional-integral-derivative (PID) controllers absolutely dominate the control engineering, numbers of different control structures and theories have been developed to enhance the efficiency of PID controllers. Thus, it is essential and inspiring to operate different PID control strategies to the PID2018 Benchmark Challenge. In this paper, a novel control strategy is designed for this refrigeration system, where a feedforward compensator and a conditional integrator are utilized to compensate the disturbances and remove the steady-state error in the benchmark problem, respectively. The simulation results given in the benchmark problem show the straightforward effectiveness of the proposed control structure compared with the existing control methods.
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Taxonomy
TopicsRefrigeration and Air Conditioning Technologies · Advanced Control Systems Optimization · Advanced Control Systems Design
