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基于改進(jìn)型自抗擾控制的復(fù)合翼無人機(jī)旋翼控制系統(tǒng)設(shè)計(jì)與試驗(yàn)
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航天九院九部面向邊遠(yuǎn)地區(qū)末端物流應(yīng)用的無人機(jī)貨運(yùn)系統(tǒng)項(xiàng)目(202109MY-202408)


Design and Experiment of Rotor Control System for Composite Wing Unmanned Aerial Vehicle Based on Improved ADRC
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    摘要:

    針對(duì)多旋翼無人機(jī)在飛行過程中容易受到各種外部擾動(dòng)的影響,以復(fù)合翼無人機(jī)的旋翼控制系統(tǒng)為研究對(duì)象,,設(shè)計(jì)了一種自抗擾控制系統(tǒng),。首先,建立了多旋翼無人機(jī)系統(tǒng)運(yùn)動(dòng)學(xué)模型和動(dòng)力學(xué)模型,;其次,對(duì)自抗擾控制算法的特點(diǎn)展開研究,,結(jié)合無人機(jī)模型分別設(shè)計(jì)了位置和姿態(tài)控制器,。并改進(jìn)了擴(kuò)張狀態(tài)觀測(cè)器,引入了更精確的動(dòng)力學(xué)模型,,提升了擾動(dòng)觀測(cè)速度和估計(jì)精度,,同時(shí),降低了擴(kuò)張狀態(tài)觀測(cè)器的階數(shù),,提升了控制器調(diào)參簡(jiǎn)易性,;再次,依據(jù)六自由度力和力矩的平衡方程,,對(duì)本文研究對(duì)象搭建了控制分配模型,。最終,采用Matlab/Simulink完成仿真模型設(shè)計(jì)和參數(shù)調(diào)節(jié),,對(duì)控制目標(biāo)分別加入了內(nèi)部重力擾動(dòng)和外部風(fēng)力擾動(dòng),,仿真結(jié)果表明本文設(shè)計(jì)的控制器不僅可以很好地估計(jì)出系統(tǒng)內(nèi)外擾動(dòng)并進(jìn)行補(bǔ)償,而且具有極強(qiáng)的抗干擾性,,可以保證無人機(jī)從初始點(diǎn)快速且平穩(wěn)到達(dá)目標(biāo)位置,,并保持穩(wěn)定懸停,姿態(tài)控制穩(wěn)態(tài)誤差在0.05°以內(nèi),。

    Abstract:

    Aiming at the vulnerability of multi-rotors drones to various external disturbances during flight, an active disturbance rejection control (ADRC) system was designed for a rotor control system of composite wing unmanned aerial vehicle (UAV) as the research object. Firstly, the kinematics and dynamics models of the multi-rotor drone system were established. Secondly, the characteristics of the ADRC algorithm were studied, and position and attitude controllers were designed in combination with the drone model. The extended state observer (ESO) was improved by introducing a more accurate dynamic model, which enhanced the disturbance observation speed and estimation accuracy. At the same time, the order of the extended state observer was reduced, and the simplicity of controller parameter tuning was improved. Furthermore, based on the six-degree-of-freedom force and moment balance equation, a control allocation model was built for the research object. Finally, Matlab/Simulink was used to complete the simulation model design and parameter adjustment. Internal gravity disturbance and external wind disturbance were added to the control targets. The simulation results showed that the controller designed could not only estimate and compensate for the internal and external disturbances of the system, but also had strong anti-interference ability, which could ensure that the drone reached the target position quickly and smoothly from the initial point, and maintained stable hovering. The steady-state error of attitude control was within 0.05°.

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李世超,王富貴,汪善武,常天星,魏雅川.基于改進(jìn)型自抗擾控制的復(fù)合翼無人機(jī)旋翼控制系統(tǒng)設(shè)計(jì)與試驗(yàn)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2024,55(6):68-79. LI Shichao, WANG Fugui, WANG Shanwu, CHANG Tianxing, WEI Yachuan. Design and Experiment of Rotor Control System for Composite Wing Unmanned Aerial Vehicle Based on Improved ADRC[J]. Transactions of the Chinese Society for Agricultural Machinery,2024,55(6):68-79.

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  • 收稿日期:2023-10-24
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  • 在線發(fā)布日期: 2024-06-10
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