High-Order Sliding Mode Observer Based OER Control for PEM Fuel Cell Air-Feed System

Deng, Huiwen; Li, Qi; Chen, Weirong; Zhang, Guorui

doi:10.1109/tec.2017.2742144

Cited by 74 publications

(21 citation statements)

References 38 publications

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“…Therefore, the HOSMC retains the original features of the traditional SMC while producing less jitter and better convergence accuracy. The HOSMC method has been used to control DC-AC converter related systems [46][47][48][49]. The grid-connected wind energy conversion system is designed by multiple input multiple output HOSMC, so it can adjust active and reactive power, and even develop a switching control scheme based on voltage grid measurement.…”

Section: Discussion and Future Researchmentioning

confidence: 99%

“…In addition, an improved HOSM observer is proposed for use in a proton exchange membrane fuel cell system based on excess oxygen ratio, which provides an observation of unmeasurable system conditions. Even under the influence of measurement noise, modeling error, parameter uncertainty and strong external interference, the method still has good robustness and fast convergence, and has limited time stability [49]. As mentioned above, HOSMC produces high-order derivative constraints on the sliding surface while preserving the main advantages of traditional SMC; it is undeniable that HOSMC eliminates jitter effects and produces more accurate control performance.…”

Section: Discussion and Future Researchmentioning

confidence: 99%

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Nonsingular Terminal Sliding Mode Control Based on Binary Particle Swarm Optimization for DC–AC Converters

2019

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This paper proposes an improved feedback algorithm by binary particle swarm optimization (BPSO)-based nonsingular terminal sliding mode control (NTSMC) for DC–AC converters. The NTSMC can create limited system state convergence time and allow singularity avoidance. The BPSO is capable of finding the global best solution in real-world application, thus optimizing NTSMC parameters during digital implementation. The association of NTSMC and BPSO extends the design of classical terminal sliding mode to converge to non-singular points more quickly and introduce optimal methodology to avoid falling into local extremum and low convergence precision. Simulation results show that the improved technique can achieve low total harmonic distortion (THD) and fast transients with both plant parameter variations and sudden step load changes. Experimental results of a DC–AC converter prototype controlled by an algorithm based on digital signal processing have been shown to confirm mathematical analysis and enhanced performance under transient and steady-state load conditions. Since the improved DC–AC converter system has significant advantages in tracking accuracy and solution quality over classical terminal sliding mode DC–AC converter systems, this paper will be applicable to designers of relevant robust control and optimal control technique.

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Section: Discussion and Future Researchmentioning

confidence: 99%

Section: Discussion and Future Researchmentioning

confidence: 99%

Nonsingular Terminal Sliding Mode Control Based on Binary Particle Swarm Optimization for DC–AC Converters

2019

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“…The air compressor delivers the needed air (with about 21% oxygen) for the electrochemical reaction, ensuring an oxygen excess ratio higher than 1, to avoid the oxygen starvation phenomenon (which might appear during the load pulses) [6,27,28]. The oxygen excess ratio is controlled using different techniques, as follows-(1) feed-forward control [26,29]; (2) PID-based control [30] and its variants (such as optimal PID plus fuzzy controller [31]), feed-forward PID controller [32], and robust PI control [33]; (3) control techniques based on artificial intelligence concepts like fuzzy logic [34,35], neural networks [36], and genetic operators [37]; (4) model predictive control (MPC) based on constrained model [38], linearization method of the model [39,40], and multivariable nonlinear MPC [41,42]; (5) sliding control using the adaptive sliding mode (Lyapunov-based) [43], high-order sliding mode [44,45], sliding mode (nonlinear multivariable) [46], cascade adaptive sliding mode [47], or a combination of sliding mode with flatness control [48] and super-twisting algorithms [49,50]; (6) robust control based on reduced order model [51] or a load governor [52]; and (7) model reference adaptive control (MRAC) [53].…”

Section: Introductionmentioning

confidence: 99%

A Simple and Safe Strategy for Improving the Fuel Economy of a Fuel Cell Vehicle

Bizon

Thounthong

2021

Mathematics

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A new real-time strategy is proposed in this article to optimize the hydrogen utilization of a fuel cell vehicle, by switching the control references of fueling regulators, based on load-following. The advantages of this strategy are discussed and compared, with advanced strategies that also use the aforementioned load-following mode regulator of fueling controllers, but in the entire loading range, respectively, with a benchmark strategy utilizing the static feed-forward control of fueling controllers. Additionally, the advantages of energy-storage function in a charge-sustained mode, such as a longer service life and reduced size due to the implementation of the proposed switching strategy, are presented for the dynamic profiles across the entire load range. The optimization function was designed to improve the fuel economy by adding to the total power of the fuel utilization efficiency (in a weighted way). The proposed optimization loop will seek the reference value to control the fueling regulator in real-time, which is not regulated by a load-following approach. The best switching threshold between the high and low loading scales were obtained using a sensitivity analysis carried out for both fixed and dynamic loads. The results obtained were promising—(1) the fuel economy was two-times higher than the advanced strategies mentioned above; and (2) the total fuel consumption was 13% lower than the static feed-forward strategy. This study opens new research directions for fuel cell vehicles, such as for obtaining the best fuel economy or estimating fuel consumption up to the first refueling station on the planned road.

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“…But the imperfection in the sign-function implementation yields chattering phenomenon. To overcome this problem, some techniques such as chattering attenuation [29] and chattering elimination [33] containing quasi-sliding mode, high order sliding mode technique and dynamics gain technique are proposed and applied broadly in many fields [34,35]. Among these methods, quasi-sliding mode is one of the most widely used methods and receives considerable attention due to its easy implementation.…”

Section: Introductionmentioning

confidence: 99%

“…Proof: Let V j 1 = 1 2 (e j 1 ) 2 . Combining with (35), by differentiating V j 1 with respect to time we can obtain thaṫ…”

mentioning

confidence: 99%

Robust Decentralized Fault Estimation for Loss of Actuator Effectiveness of Multi-motor Web-winding System

Chu

Nian

Sun

et al. 2019

Int. J. Control Autom. Syst.

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This paper develops a method estimating the actuator power loss faults for the multi-motor web-winding system. Firstly, the web-winding system is regarded as a synthetic system with several dynamic subsystems and their dynamic models are given. Then, the nonlinear coordinate transformation is introduced to obtain a transformed system with block triangular structure and the interconnections among subsystems are allowed. Next, a decentralized adaptive high-gain observer with sliding-mode is designed for the obtained transformed system to estimate the system actuator power loss faults. Meanwhile, the estimation error dynamics can be obtained. Sufficient conditions of asymptotic stability for estimation error system are derived by Lyapunov theory, and the sliding-mode gain and fault estimation law are achieved. After that, the fault estimation observer for original multi-motor web-winding system is designed by inverse coordinate transformation. Finally, the simulations and analysis are implemented on the three-motor web-winding system to verify the effectiveness of the proposed method.

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High-Order Sliding Mode Observer Based OER Control for PEM Fuel Cell Air-Feed System

Cited by 74 publications

References 38 publications

Nonsingular Terminal Sliding Mode Control Based on Binary Particle Swarm Optimization for DC–AC Converters

Nonsingular Terminal Sliding Mode Control Based on Binary Particle Swarm Optimization for DC–AC Converters

A Simple and Safe Strategy for Improving the Fuel Economy of a Fuel Cell Vehicle

Robust Decentralized Fault Estimation for Loss of Actuator Effectiveness of Multi-motor Web-winding System

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