Predictive Differential Game Guidance Approach for Hypersonic Target Interception Based on CQPSO
In the descent phase of the hypersonic target flight trajectory, the hypersonic speed of the target makes the reaction time shorter. Due to overload restrictions, it is challenging for the interceptor to achieve successful interception. To address this problem, a predictive differential game guidanc...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/6050640 |
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| _version_ | 1832562516352303104 |
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| author | Fan He Weiyi Chen Yang Bao |
| author_facet | Fan He Weiyi Chen Yang Bao |
| author_sort | Fan He |
| collection | DOAJ |
| description | In the descent phase of the hypersonic target flight trajectory, the hypersonic speed of the target makes the reaction time shorter. Due to overload restrictions, it is challenging for the interceptor to achieve successful interception. To address this problem, a predictive differential game guidance approach based on dynamic optimization algorithm is proposed to relax the interceptor acceleration requirements. Two-dimensional kinematics and dynamics engagement mode for hypersonic target interception is formulated as a nonlinear differential control model in the presence of matched uncertainties. The nonlinear differential model is transformed into a differential game model by combining a performance index. The performance index is positively correlated with the Line-Of-Sight (LOS) rate and control effort of interceptor and negatively correlated with the target maneuver. The Chaotic Quantum Particle Swarm Optimization (CQPSO) algorithm is utilized to address the nonlinear differential game problem to generate the instantaneous and predicted guidance commands for the interceptor and target. Numerical examples are given to verify the performance of the proposed guidance law in various engagement scenarios, including different target maneuvers, initial heading angles and target overload. Moreover, the performance of the algorithm is validated comparing with traditional and state-of-the-art guidance laws. |
| format | Article |
| id | doaj-art-21dc2cf257884f64aa1ac00b179207e9 |
| institution | Kabale University |
| issn | 1687-5974 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-21dc2cf257884f64aa1ac00b179207e92025-02-03T01:22:28ZengWileyInternational Journal of Aerospace Engineering1687-59742022-01-01202210.1155/2022/6050640Predictive Differential Game Guidance Approach for Hypersonic Target Interception Based on CQPSOFan He0Weiyi Chen1Yang Bao2Department of Ordnance EngineeringDepartment of Ordnance EngineeringNaval Equipment DepartmentIn the descent phase of the hypersonic target flight trajectory, the hypersonic speed of the target makes the reaction time shorter. Due to overload restrictions, it is challenging for the interceptor to achieve successful interception. To address this problem, a predictive differential game guidance approach based on dynamic optimization algorithm is proposed to relax the interceptor acceleration requirements. Two-dimensional kinematics and dynamics engagement mode for hypersonic target interception is formulated as a nonlinear differential control model in the presence of matched uncertainties. The nonlinear differential model is transformed into a differential game model by combining a performance index. The performance index is positively correlated with the Line-Of-Sight (LOS) rate and control effort of interceptor and negatively correlated with the target maneuver. The Chaotic Quantum Particle Swarm Optimization (CQPSO) algorithm is utilized to address the nonlinear differential game problem to generate the instantaneous and predicted guidance commands for the interceptor and target. Numerical examples are given to verify the performance of the proposed guidance law in various engagement scenarios, including different target maneuvers, initial heading angles and target overload. Moreover, the performance of the algorithm is validated comparing with traditional and state-of-the-art guidance laws.http://dx.doi.org/10.1155/2022/6050640 |
| spellingShingle | Fan He Weiyi Chen Yang Bao Predictive Differential Game Guidance Approach for Hypersonic Target Interception Based on CQPSO International Journal of Aerospace Engineering |
| title | Predictive Differential Game Guidance Approach for Hypersonic Target Interception Based on CQPSO |
| title_full | Predictive Differential Game Guidance Approach for Hypersonic Target Interception Based on CQPSO |
| title_fullStr | Predictive Differential Game Guidance Approach for Hypersonic Target Interception Based on CQPSO |
| title_full_unstemmed | Predictive Differential Game Guidance Approach for Hypersonic Target Interception Based on CQPSO |
| title_short | Predictive Differential Game Guidance Approach for Hypersonic Target Interception Based on CQPSO |
| title_sort | predictive differential game guidance approach for hypersonic target interception based on cqpso |
| url | http://dx.doi.org/10.1155/2022/6050640 |
| work_keys_str_mv | AT fanhe predictivedifferentialgameguidanceapproachforhypersonictargetinterceptionbasedoncqpso AT weiyichen predictivedifferentialgameguidanceapproachforhypersonictargetinterceptionbasedoncqpso AT yangbao predictivedifferentialgameguidanceapproachforhypersonictargetinterceptionbasedoncqpso |