摘要
This paper focuses on the application of H_∞preview control in automatic carrier landing system(ACLS)for carrier-based aircraft.Due to the mutual movement between aircraft and carrier,the landing process becomes considerably more challenging compared to a conventional runway landing.ACLS systems mitigate this by predicting deck motion and generating ideal glide slope path for tracking.Although,this predicted glide slope information is available in advance,conventional control structures are still unable to use this future information.H_∞preview control has the ability to utilize this future information for improving tracking response and disturbance rejection.The process of incorporating preview information into ACLS framework and synthesizing the H_∞preview controller is presented.The methodology is verified using the example of F/A-18 automatic carrier landing problem and results are presented.
This paper focuses on the application of H_∞ preview control in automatic carrier landing system(ACLS)for carrier-based aircraft. Due to the mutual movement between aircraft and carrier,the landing process becomes considerably more challenging compared to a conventional runway landing. ACLS systems mitigate this by predicting deck motion and generating ideal glide slope path for tracking. Although,this predicted glide slope information is available in advance,conventional control structures are still unable to use this future information. H_∞ preview control has the ability to utilize this future information for improving tracking response and disturbance rejection. The process of incorporating preview information into ACLS framework and synthesizing the H_∞ preview controller is presented.The methodology is verified using the example of F/A-18 automatic carrier landing problem and results are presented.
基金
supported by the National Natural Science Foundation of China (Nos.61973158, 61304223, 61673209)
the Aeronautical Science Foundation (NO.2016ZA52009)
the Fundamental Research Funds for the Central Universities (Nos.NS2017015, NJ20170005)
