<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to meet the needs of military, road construction, multimedia industry and other aspects, UAVs are gradually given more functions. As the basic function of UAV applications, the fixed-point delivery problem model has higher and higher accuracy requirements. However, in the actual scene, the UAV delivery problem is affected by the interaction of various factors such as flight height, air resistance, and dive angle, which makes it difficult to achieve high stability and high hit accuracy. This paper will analyze the complex motion model based on the fixed-point delivery of explosives by UAV, study the relationship between the stability of UAV delivery and the hit accuracy, and analyze the influence of relevant parameters on the problem by using modeling. In this paper, a multivariate nonlinear continuous time change model is proposed, and a continuous time slice discretization idea operation model is introduced to approximate the time slice splitting inside the UAV launch motion. Secondly, the design quantified evaluation index reaction the initial velocity of the explosive, the launch Angle, the height off the ground and other parameters to analyze the model. Finally, the best scheduling strategy is obtained and verified by using the idea of variable traversal and trial- and-error simulation. The experimental results show that the variation of UAV flying height, speed, depression and other interference factors is consistent with the prediction of score and hit accuracy, according to the environment setting of this model, when the UAV is 300 meters above the ground and 290 meters away from the target horizontal position, the delivery speed is 250m/s, and the pitch angle is about 27°, the fixed-point delivery of explosives is the best strategy.</p>
</abstract>

In order to meet the needs of military, road construction, multimedia industry and other aspects, UAVs are gradually given more functions. As the basic function of UAV applications, the fixed-point delivery problem model has higher and higher accuracy requirements. However, in the actual scene, the UAV delivery problem is affected by the interaction of various factors such as flight height, air resistance, and dive angle, which makes it difficult to achieve high stability and high hit accuracy. This paper will analyze the complex motion model based on the fixed-point delivery of explosives by UAV, study the relationship between the stability of UAV delivery and the hit accuracy, and analyze the influence of relevant parameters on the problem by using modeling. In this paper, a multivariate nonlinear continuous time change model is proposed, and a continuous time slice discretization idea operation model is introduced to approximate the time slice splitting inside the UAV launch motion. Secondly, the design quantified evaluation index reaction the initial velocity of the explosive, the launch Angle, the height off the ground and other parameters to analyze the model. Finally, the best scheduling strategy is obtained and verified by using the idea of variable traversal and trial- and-error simulation. The experimental results show that the variation of UAV flying height, speed, depression and other interference factors is consistent with the prediction of score and hit accuracy, according to the environment setting of this model, when the UAV is 300 meters above the ground and 290 meters away from the target horizontal position, the delivery speed is 250m/s, and the pitch angle is about 27°, the fixed-point delivery of explosives is the best strategy.

Research on Simulation Approximate Solution Strategy for Complex Kinematic Models

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In order to meet the needs of military, road construction, multimedia industry and other aspects, UAVs are gradually given more functions. As the basic...

Time	Height	Horizontal initial velocity	Landing distance	Absolute accuracy	Relative accuracy
1	459.5609	193.9832	178.7461	5.741393	3.112076
2	565.9514	202.8413	192.8809	8.393398	4.543575
3	484.5841	203.5067	188.4999	4.012370	2.174874
4	478.3433	191.5439	178.4841	6.003414	3.254103
5	481.6434	201.0121	186.3224	1.834916	0.994602
6	519.0507	199.4992	187.8286	3.341048	1.810989
7	510.4967	207.1368	193.2061	8.718591	4.725843
8	491.1663	203.0071	188.5453	4.057764	2.199479
9	477.7795	198.9608	184.3180	0.169518	0.091886
10	561.1234	198.3617	189.0825	4.594944	2.490653

Variable name	Range of variable
Launch height	100~1000
Flight speed	100~300
Launching velocity	250
Horizontal component velocity (Represents the change in depression Angle)	Half of the initial speed - initial speed (depression Angle 60 degrees -0 degrees)
Wind speed effect	-6~6

Research on Simulation Approximate Solution Strategy for Complex Kinematic Models

Data publikacji: 28 mar 2024

Zakres stron: 58 - 67

DOI: https://doi.org/10.2478/ijanmc-2024-0006

Słowa kluczowe
Nonlinear Model, Traversal Search, Trial And Error Simulation, Continuous Time Discretization

© 2024 WenJing Qu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Figure 10.

The simulation results of a certain parameter after 10 disturbances

Variable Settings

Research on Simulation Approximate Solution Strategy for Complex Kinematic Models

Data publikacji: 28 mar 2024

Zakres stron: 58 - 67

DOI: https://doi.org/10.2478/ijanmc-2024-0006

Słowa kluczoweNonlinear Model, Traversal Search, Trial And Error Simulation, Continuous Time Discretization

© 2024 WenJing Qu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Figure 10.

The simulation results of a certain parameter after 10 disturbances

Variable Settings

Słowa kluczowe
Nonlinear Model, Traversal Search, Trial And Error Simulation, Continuous Time Discretization