Robust Model-Free Adaptive Interval Type-2 Fuzzy Sliding Mode Control for PEMFC System Using Disturbance Observer
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Robust Model-Free Adaptive Interval Type-2 Fuzzy Sliding Mode Control for PEMFC System Using Disturbance Observer A. M. Omer Abbaker1 • Haoping Wang1 • Yang Tian1
Received: 25 March 2020 / Revised: 19 June 2020 / Accepted: 30 June 2020 Taiwan Fuzzy Systems Association 2020
Abstract This paper proposes a novel robust model-free adaptive interval type-2 fuzzy sliding mode control (MFAIT2FSMC) for the proton exchange membrane fuel cell (PEMFC) system using nonlinear disturbance observer. The main control objective is to adjust the oxygen stoichiometry at its reference trajectory under load disturbances and parameter uncertainties, to avert the oxygen starvation problem and to obtain maximum net power. The referred MF-AIT2FSMC control strategy is composed of three parts: first, a nonlinear disturbance observer is proposed to estimate both oxygen and nitrogen partial pressures which are considered as unmeasurable variables. Second, a nonlinear disturbance observer-based intelligent proportional-integral (NDBO-iPI) control is derived, whereas the NDBO is used to estimate the unmodeled system dynamics via the knowledge of input and output signals. Third, adaptive interval type-2 fuzzy nonsingular fast terminal sliding mode control is inserted to NDBO-iPI control to compensate the NDBO estimation error, enhance the control performance and ensure the global controlled system stability. Furthermore, the entire controlled system stability is verified via the Lyapunov approach. Finally, the corresponding numerical simulation on the PEMFC system is obtained to demonstrate the effectiveness and efficiency of the proposed MF-AIT2FSMC technique by comparing with the NDBO-iPI and standard PID controller.
& Haoping Wang [email protected] 1
Sino-French International Joint Laboratory, School of Automatic Control and Signal Processing (LaFCAS), School Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Keywords PEMFC system Model-free control Adaptive interval type-2 fuzzy Nonlinear disturbance observer Nonsingular fast terminal sliding mode control
1 Introduction Cleanliness, sustainability and reliability of energy sources are major contributing factors to establish power sources [1, 2]. Fuel cells are currently getting lots of attention from the researchers because they are promising as alternative power sources [3, 4]. Among the various kinds of fuel cells, the PEMFC systems are candidates for both portable and stationary applications thanks to low pollution, low operation temperature, low weight, high efficiency and fast in starting time. PEMFCs provide electricity and water through the electrochemical reaction from oxygen and hydrogen [5–7]. The air supply system in the PEMFC plant is considered as one of the most significant systems, which has a considerable influence on the stack performance due to its consumption raise to 30% of output power provided by the fuel cell [8, 9]. One of the most serious problems of the PEMFC air supply system, it is so-called the oxygen starvation phen
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