Enhancement of Guidance System using Kalman Filter
The operation of Modern Guidance System may be separated into twocascaded functions1. Filtering of the noisy measurements obtained from the sensors and 2. Utilization ofthe estimated parameters to control the required acceleration.Guidance system is enhanced by using 3rd order Kalman filter to estim...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2010-01-01
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| Series: | Engineering and Technology Journal |
| Online Access: | https://etj.uotechnology.edu.iq/article_26967_1688ea75922e2cb80e15a3aa527e40f9.pdf |
| Summary: | The operation of Modern Guidance System may be separated into twocascaded functions1. Filtering of the noisy measurements obtained from the sensors and 2. Utilization ofthe estimated parameters to control the required acceleration.Guidance system is enhanced by using 3rd order Kalman filter to estimate theseparation distance and its derivatives that needed in optimal controller. Slant rangeand closing velocity is estimated using 2nd order Kalman filter and they also needed inestimation of time to go.The optimal guidance system is better than the proportional navigation, biasedproportional navigation, and the augmented proportional navigation system since itrequired simple achieved acceleration.Fading memory filter may be used to enhance the navigation system insteadof Kalman filter. It is simple in structure and need minimum time but less accuracythan the Kalman filter. |
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| ISSN: | 1681-6900 2412-0758 |