基于模型预测控制的无人直升机轨迹跟踪方法研究任务书

 2021-11-04 21:02:58

1. 毕业设计(论文)的内容和要求

课题研究的内容、目的及意义: 课题为实践课题,要求学生设计无人直升机的控制算法。

近些年来,随着在农业生产、电力巡检、林业维护、气象监测、海洋水利和城市规划等众多领域的广泛应用,人们对无人直升机关注的热度也迅速提升,关于其飞控技术的研究也吸引了大量的中外学者。

虽然针对无人直升机的飞行控制出现了大量的研究成果,但由于无人机是一个欠驱动、强耦合、多约束的多变量非线性系统,其控制算法的精确性还需更深入的研究。

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2. 参考文献

1. Jia Z, Yu J, Mei Y, et al. Integral backstepping sliding mode control for quadrotor helicopter under external uncertain disturbances[J]. Aerospace Science and Technology, 2017, 68: 299-307.2. Ma D, Xia Y, Li T, et al. Active disturbance rejection and predictive control strategy for a quadrotor helicopter[J]. IET Control Theory ndez-Caballero A, et al. A tandem active disturbance rejection control for a laboratory helicopter with variable-speed rotors[J]. IEEE Transactions on Industrial Electronics, 2016, 63(10): 6395-6406.6. Castaeda H, Plestan F, Chriette A, et al. Continuous differentiator based on adaptive second-order sliding-mode control for a 3-DOF helicopter[J]. IEEE Transactions on Industrial Electronics, 2016, 63(9): 5786-5793.7. Wang B, Zhang Y. An adaptive fault-tolerant sliding mode control allocation scheme for multirotor helicopter subject to simultaneous actuator faults[J]. IEEE Transactions on Industrial Electronics, 2017, 65(5): 4227-4236.8. Chen M, Ren Y, Liu J. Antidisturbance control for a suspension cable system of helicopter subject to input nonlinearities[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 48(12): 2292-2304.9. Kang Y, Chen S, Wang X, et al. Deep convolutional identifier for dynamic modeling and adaptive control of unmanned helicopter[J]. IEEE transactions on neural networks and learning systems, 2018, 30(2): 524-538.10.Mehndiratta, M., Kayacan, E. (2018). Receding horizon control of a 3 DOF helicopter using online estimation of aerodynamic parameters. Proceedings of the institution of mechanical engineers, part G: Journal of aerospace engineering, 232(8), 1442-1453.除上述文献外,请再自行查阅相关文献不少于20篇。

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