Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm
Standard cubature Kalman filter (CKF) algorithm has some disadvantages in stochastic system control, such as low control accuracy and poor robustness. This paper proposes a stochastic system control method based on adaptive correction CKF algorithm. Firstly, a nonlinear time-varying discrete stochas...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/2096302 |
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| _version_ | 1849407427786571776 |
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| author | FengJun Hu Qian Zhang Gang Wu |
| author_facet | FengJun Hu Qian Zhang Gang Wu |
| author_sort | FengJun Hu |
| collection | DOAJ |
| description | Standard cubature Kalman filter (CKF) algorithm has some disadvantages in stochastic system control, such as low control accuracy and poor robustness. This paper proposes a stochastic system control method based on adaptive correction CKF algorithm. Firstly, a nonlinear time-varying discrete stochastic system model with stochastic disturbances is constructed. The control model is established by using the CKF algorithm, the covariance matrix of standard CKF is optimized by square root filter, the adaptive correction of error covariance matrix is realized by adding memory factor to the filter, and the disturbance factors in nonlinear time-varying discrete stochastic systems are eliminated by multistep feedback predictive control strategy, so as to improve the robustness of the algorithm. Simulation results show that the state estimation accuracy of the proposed adaptive cubature Kalman filter algorithm is better than that of the standard cubature Kalman filter algorithm, and the proposed adaptive correction CKF algorithm has good control accuracy and robustness in the UAV control test. |
| format | Article |
| id | doaj-art-44279b2fc16846f2b24ad41a21c44fba |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-44279b2fc16846f2b24ad41a21c44fba2025-08-20T03:36:03ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742020-01-01202010.1155/2020/20963022096302Control Optimization of Stochastic Systems Based on Adaptive Correction CKF AlgorithmFengJun Hu0Qian Zhang1Gang Wu2Institute of Information Technology, Zhejiang Shuren University, Hangzhou, Zhejiang, ChinaSchool of Overseas Chinese, Capital University of Economics and Business, Beijing, ChinaDepartment of Oral Implantology and Prosthetic Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam (UvA) and Vrije Universiteit Amsterdam (VU), Gustav Mahlerlaan 3004, Amsterdam 1081LA, NetherlandsStandard cubature Kalman filter (CKF) algorithm has some disadvantages in stochastic system control, such as low control accuracy and poor robustness. This paper proposes a stochastic system control method based on adaptive correction CKF algorithm. Firstly, a nonlinear time-varying discrete stochastic system model with stochastic disturbances is constructed. The control model is established by using the CKF algorithm, the covariance matrix of standard CKF is optimized by square root filter, the adaptive correction of error covariance matrix is realized by adding memory factor to the filter, and the disturbance factors in nonlinear time-varying discrete stochastic systems are eliminated by multistep feedback predictive control strategy, so as to improve the robustness of the algorithm. Simulation results show that the state estimation accuracy of the proposed adaptive cubature Kalman filter algorithm is better than that of the standard cubature Kalman filter algorithm, and the proposed adaptive correction CKF algorithm has good control accuracy and robustness in the UAV control test.http://dx.doi.org/10.1155/2020/2096302 |
| spellingShingle | FengJun Hu Qian Zhang Gang Wu Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm International Journal of Aerospace Engineering |
| title | Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm |
| title_full | Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm |
| title_fullStr | Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm |
| title_full_unstemmed | Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm |
| title_short | Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm |
| title_sort | control optimization of stochastic systems based on adaptive correction ckf algorithm |
| url | http://dx.doi.org/10.1155/2020/2096302 |
| work_keys_str_mv | AT fengjunhu controloptimizationofstochasticsystemsbasedonadaptivecorrectionckfalgorithm AT qianzhang controloptimizationofstochasticsystemsbasedonadaptivecorrectionckfalgorithm AT gangwu controloptimizationofstochasticsystemsbasedonadaptivecorrectionckfalgorithm |