Multivariable Robust Control for a 500W Self-Humidified PEMFC System
TL;DR: The design of a standard H ∞ robust controller for stabilizing the PEMFC system is described, and fixed-order robust control and robust PID control algorithms for controller simplification are applied.
About: This article is published in European Journal of Control.The article was published on 2011-01-01. It has received 11 citations till now. The article focuses on the topics: Robust control & Control theory.
Citations
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TL;DR: In this article , a comprehensive and systematic overview of state-of-the-art PEMFC control strategies is carried out, based on a thorough investigation of 180 literatures, these control strategies are classified into nine main categories, including proportional integral derivative (PID) control, adaptive control, fuzzy logic control (FLC), robust control, observer-based control, model predictive control (MPC), fault tolerant control (FTC), optimal control and artificial intelligence control.
37 citations
TL;DR: The proposed robust control and power management strategies for a 6 kW stationary proton exchange membrane fuel cell (PEMFC) hybrid power system are effective at improving the stability, performance, and efficiency of the stationary power system.
34 citations
TL;DR: A fuel-cell powered electric wheelchair that can be continuously operated, thereby extending the moving range and the effectiveness of the PEMFC system as a way to extend the traveling distance of a motorized wheelchair is proposed.
27 citations
TL;DR: In this paper, a 10 kW polymer exchange membrane fuel cell (PEMFC) stack consisting of two 5 kW modules, connected in series with a multi-function controller unit was constructed and tested.
Abstract: A 10 kW PEMFC (polymer exchange membrane fuel cell) stack consisting of two 5 kW modules, (A) and (B), connected in series with a multi-function controller unit was constructed and tested. The electrical performance of the V-shaped PEMFC stack was investigated under constant and variable electrical load. It was found that the PEMFC stack was capable of supplying the required 10 kW of electrical power. An optimised purification process via ‘purge’ or humidification, implemented by means of a short-circuit unit (SCU) control strategy, enabled slightly improved performance. Online monitoring of the utilisation of the hydrogen system was developed and tested during the operation of the stack, especially under variable electrical load. The air-cooling subsystem consisting of a common channel connecting two 5 kW PEMFC modules and two cascade axial fans was designed, manufactured using 3D printing technology, and tested with respect to the electrical performance of the device. The dependence of total partial-pressure drop vs. ratio of air volumetric flow for the integrated PEMFC stack with cooling devices was also determined. An algorithm of stack operation involving thermal, humidity, and energy management was elaborated. The safety operation and fault diagnosis of the PEMFC stack was also tested.
7 citations
TL;DR: In this paper , a metaverse-based multiagent double delay deep deterministic policy gradient (MET-MADDPG) algorithm is proposed to achieve coordinated control of multiple operating variables and thus improve the stability, performance, and efficiency of the PEMFC power system.
6 citations
References
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06 Aug 2002
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Abstract: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are proposed. The relationships between particle swarm optimization and both artificial life and genetic algorithms are described.
35,104 citations
"Multivariable Robust Control for a ..." refers methods in this paper
...Compared with other robust PID design methods [2, 15, 16, 23], the PSO algorithms are advantageous in terms of simplicity and efficiency....
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...In this paper, we apply particle swarm optimization (PSO) [18, 19] to calculate the parameters Kp, Ki and Kd of the PID controller, to optimize the cost function (19)....
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...Finally, the robust PID controller using PSO was K23 (s), where an extra pole s = −1000 was added to make it proper, with a stability bound of 0.5850....
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TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Abstract: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are proposed The relationships between particle swarm optimization and both artificial life and genetic algorithms are described
18,439 citations
Book•
17 Aug 1995TL;DR: This paper reviewed the history of the relationship between robust control and optimal control and H-infinity theory and concluded that robust control has become thoroughly mainstream, and robust control methods permeate robust control theory.
Abstract: This paper will very briefly review the history of the relationship between modern optimal control and robust control. The latter is commonly viewed as having arisen in reaction to certain perceived inadequacies of the former. More recently, the distinction has effectively disappeared. Once-controversial notions of robust control have become thoroughly mainstream, and optimal control methods permeate robust control theory. This has been especially true in H-infinity theory, the primary focus of this paper.
6,945 citations
"Multivariable Robust Control for a ..." refers background in this paper
...6, we can construct the generalized plant P(s) as follows [42]:...
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...there is no direct feed through term [12, 42]....
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Book•
01 Jan 1992
2,581 citations
"Multivariable Robust Control for a ..." refers background in this paper
...there is no direct feed through term [12, 42]....
[...]