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饋能懸架自適應(yīng)離線神經(jīng)網(wǎng)絡(luò)逆控制
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國家自然科學(xué)基金資助項目(50905078)、江蘇省自然科學(xué)基金資助項目(BK2012714)和江蘇省普通高校研究生科研創(chuàng)新計劃資助項目(KYLX_1022)


Adaptive Off-line Neural Network Inverse Control for Energy-harvesting Suspension
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    摘要:

    在饋能懸架系統(tǒng)饋能回路中引入Boost/Buck型DC—DC變換器,將DC—DC變換器的非線性數(shù)學(xué)模型描述為穩(wěn)態(tài)分量和擾動分量之和,設(shè)計了自適應(yīng)離線神經(jīng)網(wǎng)絡(luò)逆控制器??刂破饔呻x線神經(jīng)網(wǎng)絡(luò)逆控制器和自適應(yīng)控制器組成,離線神經(jīng)網(wǎng)絡(luò)逆控制器產(chǎn)生直流變換器的穩(wěn)態(tài)輸入,并利用變換器的穩(wěn)態(tài)分量產(chǎn)生訓(xùn)練離線神經(jīng)網(wǎng)絡(luò)逆控制器的樣本,自適應(yīng)控制器產(chǎn)生補(bǔ)償系統(tǒng)參數(shù)變化和不確定性擾動的動態(tài)輸入。在此基礎(chǔ)上,對控制器的性能進(jìn)行了快速控制原型試驗驗證。最后,對饋能懸架進(jìn)行了仿真研究。結(jié)果表明,自適應(yīng)離線神經(jīng)網(wǎng)絡(luò)逆控制器能夠使電動機(jī)電磁阻尼力較好地跟蹤理想力,改善車輛的舒適性和平順性,并有效地回收部分懸架振動能量,實現(xiàn)自供能控制。

    Abstract:

    The Boost/Buck converter was introduced into the energy-harvesting circuit to coordinate dynamic performance and energy-harvesting performance of energyharvesting suspension system. The non-linear mathematical model of DC—DC converter was described by the summation of steady-state components and disturbance components. Considering the mapping capability of neural network and anti-interference of FIR filter,adaptive off-line neural network inverse controller was designed. The controller was composed of off-line neural network inverse controller and adaptive controller. The off-line neural network inverse controller was used to provide steady control input with steady components of DC—DC converter as training samples, while the adaptive controller was used to provide compensation dynamic control generated by parameter variations and uncertain interference. On this basis, the converter sample was made and the rapid control prototyping experiment was performed to validate the performance of the controller. To meet the suspension vibration isolation performance and harvest vibration energy to a large degree, the suspension control parameters was decided. And a linear motor was tested to obtain its characteristic parameters. Simulations were applied to a two-degree of freedom energy-harvesting suspension. The results showed that the linear motor can produce the desired electromagnetic damping force with the proposed controller and improve vehicle comfort. It also indicated that self-powered control with energy harvested from suspension was attainable.

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陳龍,施德華,汪若塵,錢金剛.饋能懸架自適應(yīng)離線神經(jīng)網(wǎng)絡(luò)逆控制[J].農(nóng)業(yè)機(jī)械學(xué)報,2015,46(2):281-287. Chen Long, Shi Dehua, Wang Ruochen, Qian Jin’gang. Adaptive Off-line Neural Network Inverse Control for Energy-harvesting Suspension[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(2):281-287.

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  • 收稿日期:2014-02-17
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  • 在線發(fā)布日期: 2015-02-10
  • 出版日期: 2015-02-10
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