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A new effective robust nonlinear controller based on PSO for interleaved DC-DC boost converters for fuel cell voltage regulation

机译:一种基于PSO的新型有效鲁棒非线性控制器,用于燃料电池电压调节的交错DC-DC升压转换器

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摘要

Output voltage regulation of DC-DC converters has recently gained an increasing attention to face the many system nonidealities. The fast switching behavior is nonlinear time varying, the presence of model and measurement uncertainties, and large variations, are all inherited challenges. The aim of the present work is to design a robust nonlinear controller that ensures satisfactory and robust output voltage regulation for a proton-exchange membrane fuel cell (PEMFC) based on a DC-DC Interleaved Boost Converter (IBC). A state-space model of the DC-DC IBC is first derived using the state-space averaging technique, and a mathematical model is constructed for the PEFMC. In this regard, a robust nonlinear controller and a proportional integral controller are proposed. The controllers are tuned though particle swarm optimization algorithm to estimate their good parameters assuring the desired performance is met. The integral of absolute error criterion is used to improve the dynamic performance of the overall controlled system. Furthermore, the closed-loop stability is analyzed using the Lyapunov stability theorem, and the effectiveness of the closed-loop system is validated under various operating conditions of the PEMFC and load perturbations. Compared to other methods, the obtained results demonstrate a superior performance of the proposed control strategy in terms of its robustness to variations and uncertainties, smooth tracking of a varying set-point and faster transients.
机译:DC-DC转换器的输出电压调节最近获得了越来越关注面对许多系统的非侵害性。快速切换行为是非线性时间变化,模型的存在和测量不确定性以及大的变化是所有继承的挑战。本作工作的目的是设计一种坚固的非线性控制器,其基于DC-DC交织升压转换器(IBC)确保质子交换膜燃料电池(PEMFC)的令人满意和鲁棒的输出电压调节。使用状态空间平均技术首先导出DC-DC IBC的状态模型,为PEFMC构建数学模型。在这方面,提出了一种稳健的非线性控制器和比例积分控制器。通过粒子群优化算法调整控制器,以估计其良好的参数,确保满足所需的性能。绝对误差标准的积分用于提高整个受控系统的动态性能。此外,使用Lyapunov稳定性定理分析闭环稳定性,并且在PEMFC的各种操作条件下验证了闭环系统的有效性并负载扰动。与其他方法相比,所获得的结果表明,在其稳健性和不确定性方面,所提出的控制策略的卓越性能表现出拟议的控制策略,平稳地跟踪不同设定点和更快的瞬态。

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