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車(chē)輛半主動(dòng)懸架粒子群模糊混合控制策略
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國(guó)家自然科學(xué)基金資助項(xiàng)目(50905090)和山東省優(yōu)秀中青年科學(xué)家科研獎(jiǎng)勵(lì)基金資助項(xiàng)目(BS2010ZZ002)


PSO-fuzzy-hybrid Control Strategy of Semi-active Suspensions
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    摘要:

    在Matlab中建立4自由度 1/2半主動(dòng)懸架車(chē)輛模型后，構(gòu)建模糊混合控制器，利用粒子群優(yōu)化算法對(duì)模糊混合控制器的隸屬度函數(shù)和模糊控制規(guī)則同時(shí)進(jìn)行優(yōu)化，開(kāi)發(fā)了粒子群模糊混合控制策略。為了有效驗(yàn)證所提出的控制策略，在搭建的車(chē)輛半主動(dòng)懸架系統(tǒng)控制策略硬件在環(huán)仿真試驗(yàn)平臺(tái)上進(jìn)行了粒子群模糊混合控制策略的半實(shí)物仿真試驗(yàn)。硬件在環(huán)仿真試驗(yàn)結(jié)果表明，粒子群模糊混合控制策略明顯優(yōu)于傳統(tǒng)模糊控制策略，能有效地提高半主動(dòng)懸架系統(tǒng)的綜合性能，并且在不同路面輸入激勵(lì)下均能取得較好的控制效果。

    Abstract:

    A half-car model of semi-active suspension systems with 4-DOF was designed in Matlab, and a fuzzy hybrid controller was built. Then, the membership functions and rule of fuzzy hybrid control strategy were optimized by particle swarm optimization (PSO)．In order to verify the proposed control strategy, a series of experiments of PSO-fuzzy-hybrid control strategy on the platform of hardware-in-the-loop were carried out．It showed that compared with traditional fuzzy control strategy, PSO-fuzzy-hybrid control strategy enhanced the overall performance of the semi-active suspension system effectively, and obtained better control performance in all different road input excitations. 

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嚴(yán)天一,閆海敬,侯兆萌,王玉林,張魯鄒,陳煥明.車(chē)輛半主動(dòng)懸架粒子群模糊混合控制策略[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(8):1-7,73. Yan Tianyi, Yan Haijing, Hou Zhaomeng, Wang Yulin, Zhang Luzou, Chen Huanming. PSO-fuzzy-hybrid Control Strategy of Semi-active Suspensions[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(8):1-7,73.

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  • 在線發(fā)布日期: 2013-07-19
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