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基于改進(jìn)樽海鞘群算法的四旋翼飛行器姿態(tài)優(yōu)化控制
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國(guó)家自然科學(xué)基金青年科學(xué)基金項(xiàng)目(51405209),、江蘇省自然科學(xué)基金項(xiàng)目(BK20170315)和常州市應(yīng)用基礎(chǔ)研究計(jì)劃項(xiàng)目(CJ20170010)


Optimal Attitude Control for Quadrotor Aircraft Based on Improved Salp Swarm Algorithm
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    摘要:

    針對(duì)集總干擾下四旋翼飛行器的姿態(tài)控制問題,,提出了一種基于線性擴(kuò)張狀態(tài)觀測(cè)器的快速連續(xù)非奇異終端滑??刂撇呗?。該方法通過線性擴(kuò)張狀態(tài)觀測(cè)器來估計(jì)和補(bǔ)償集總干擾的影響,提高控制器的穩(wěn)定性;借助非奇異終端滑模面有限時(shí)間收斂的特性設(shè)計(jì)控制律,加快控制器的收斂速度;控制器的穩(wěn)定性分析由Lyapunov函數(shù)得以證明,。引入樽海鞘群算法來優(yōu)化控制器中的參數(shù),提升控制性能,。進(jìn)一步地,,引入一維正態(tài)云模型與自適應(yīng)算子來克服參數(shù)整定算法的固有缺陷,增強(qiáng)其優(yōu)化能力,。通過仿真與試驗(yàn)驗(yàn)證了本文方法的有效性與實(shí)用性,,結(jié)果表明:在陣風(fēng)干擾下,本文方法比線性自抗擾控制策略具有更高的跟蹤精度,、更強(qiáng)的抗干擾能力與更快的響應(yīng)速度,。

    Abstract:

    As a typical aerial robot, quadrotor has major advantages when used for aerial photography, environmental monitoring and surveillance in dangerous and complex environments. The robust control problem in attitude tracking of an unmanned aerial vehicle quadrotor is a challenging task due to strong parametric uncertainties, large nonlinearities, and high couplings in flight dynamics. Towards the attitude control of a quadrotor aircraft under lumped disturbances, a fastcontinuous nonsingular terminal sliding mode controller based on linear extended state observer was proposed. In this control structure, a linear extended state observer was used to estimate, and compensate the lumped disturbances, which can enhance the stability of the controller. With its finite time convergence characteristic the nonsingular terminal sliding mode was employed to design the control law, which can increase the convergence speed. Stability of the controller was proved through Lyapunov function. To enhance the control performance, a salp swarm algorithm was introduced to adjust the control parameters of the proposed controller. Furthermore, a 1dimension positive cloud model and an adaptive operator were applied to overcome the defects of the salp swarm algorithm. Lastly, some simulation and experiments were conducted to test the efficiency and application of the controller. The results showed that the proposed controller had higher tracking accuracy, stronger antidisturbance ability and faster response speed.

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丁力,高振奇,虞青.基于改進(jìn)樽海鞘群算法的四旋翼飛行器姿態(tài)優(yōu)化控制[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2019,50(10):243-250. DING Li, GAO Zhenqi, YU Qing. Optimal Attitude Control for Quadrotor Aircraft Based on Improved Salp Swarm Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2019,50(10):243-250.

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  • 收稿日期:2019-03-08
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  • 在線發(fā)布日期: 2019-10-10
  • 出版日期: 2019-10-10
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