Voltage control of solid oxide fuel cell power plant based on intelligent proportional integral-adaptive sliding mode control with anti-windup compensator

Abstract

Solid oxide fuel cell (SOFC) plant is considered a most important type in the field of fuel cells, which gives control difficulties such as fuel flow constraints, load disturbance, system nonlinearities, and parameter uncertainties. However, due to these difficulties, the voltage control of SOFC plant is extremely difficult. In this paper, a new intelligent proportional integral-adaptive sliding mode control (iPI-ASMC) with anti-windup compensator is proposed to control the output voltage of SOFC plant to keep up with the rated voltage. The referred iPI-ASMC is made of three sub-components: (i) an extended state observer (ESO)-based-intelligent proportional-integral to estimate the unknown dynamic, (ii) an adaptive sliding mode control is added to compensate the estimation error of unknown dynamic, and (iii) an anti-windup compensator based on back-calculation is used to deal with saturation problem which is caused by input constraints. Moreover, the effectiveness and efficiency of the proposed iPI-ASMC strategy is demonstrated by comparing with some other approaches such as conventional proportional integral-derivative (PID) controller, intelligent proportional-integral (iPI) and fuzzy PID controller. Corresponding simulation results show that the proposed iPI-ASMC approach provides better dynamic responses and outperforms to compared methods in term of settling time, peak overshoots, integral absolute error (IAE), integral square error (ISE), and integral time absolute error (ITAE).

Adaptive integral type‐terminal sliding mode control for PEMFC air supply system using time delay estimation algorithm

“…with μ 1 > 0. Equation ( 17) represents convectional integral sliding mode (ISM) surface [37]. Thus, the integral type-terminal sliding mode (ITSM) surface is designed as follows:…”

Robust Model-Free Adaptive Interval Type-2 Fuzzy Sliding Mode Control for PEMFC System Using Disturbance Observer

“…eðtÞ involves not only the impact of system uncertainties but also includes any external disturbances. Now, by selecting d ¼ 1, the NDBO-iPI controller can be designed as follows [35] uðtÞ…”

“…where DeðtÞ ¼ eðtÞ ÀêðtÞ is the estimation error. The steady-state error via closed-loop can be determined by selecting K p and K i appropriately according to the Hurwitz criterion [25,35].…”

“…MFC-based iPID is well-known an attractive approach which has gained more attention in recent years [29][30][31][32]. To achieve excellent performance, MFC-based iPID was integrated with other techniques [33][34][35]; for instance, to guarantee the robustness of the control synthesis, time-delay estimation and neural network control were applied in Ref [36], while to ensure the stability of the unknown nonlinear system under uncertainties and external disturbance, adaptive fuzzy logic control, adaptive SMC and fractional-order SMC were proposed [35,37,38]. However, the robustness of these strategies relies on the approach used to estimate the unmodeled system dynamics, such as algebraic estimator [39,40], extended state observer [29,31,35] and timedelay estimation [14,30,36].…”

An alternative to proportional-integral and proportional-integral-derivative regulators: Intelligent proportional-derivative regulators

“…Several conclusive concrete comparisons with PIs and PIDs have been published (see, e.g., [2], [3], [8], [13], [22], [27], [29], [35], [39], [41], [43], [46], [54], [55]). 1 Here we suggest a single universal feedback loop, i.e., the intelligent Proportional-Derivative controller, or iPD,…”