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Intelligent Power Compensation System Based on Adaptive Sliding Mode Control Using Soft Computing and Automation

Qidan Zhua, Zhibo Yanga,*

a College of Automation, Harbin Engineering University, Harbin 150001, China

* Corresponding Author: Email: email

Computer Systems Science and Engineering 2019, 34(4), 179-189. https://doi.org/10.32604/csse.2019.34.179

Abstract

The approach power compensator system (APCS) plays a role in the automatic carrier landing system (ACLS), and the performance of the APCS is affected by the carrier air-wake in the final-approach . In this paper, the importance of the APCS is verified through the analysis of the signal flow chart of the ACLS. Hence, it is necessary to suppress the carrier air-wake in order to improve the anti-interference ability. The adaptive sliding mode control (ASMC) not only has better dynamic tracking performance compared to the nonlinear mode, but also can efficiently resist the disturbance caused by the carrier air-wake. The design of the longitudinal control law of the ACLS is based on the carrier-based aircraft nonlinear model and the carrier air-wake model. It comprises the longitudinal guidance rate, autopilot (CAS) and the APCS. The ASMC is used to design the APCS to suppress the carrier air-wake. A comparison of the simulation results indicates that the design based on the ASMC has better anti-interference ability and can keep the velocity constant on the timely.

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APA Style
Zhu, Q., Yang, Z. (2019). Intelligent power compensation system based on adaptive sliding mode control using soft computing and automation. Computer Systems Science and Engineering, 34(4), 179-189. https://doi.org/10.32604/csse.2019.34.179
Vancouver Style
Zhu Q, Yang Z. Intelligent power compensation system based on adaptive sliding mode control using soft computing and automation. Comput Syst Sci Eng. 2019;34(4):179-189 https://doi.org/10.32604/csse.2019.34.179
IEEE Style
Q. Zhu and Z. Yang, "Intelligent Power Compensation System Based on Adaptive Sliding Mode Control Using Soft Computing and Automation," Comput. Syst. Sci. Eng., vol. 34, no. 4, pp. 179-189. 2019. https://doi.org/10.32604/csse.2019.34.179

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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