Iterative Learning-Based PID Precision Control for Sports Performance Analysis

Traditional function algorithms are contradictory to accuracy and performance. Therefore, taking into account the balance of accuracy and performance, the research of accuracy control-oriented mathematical function algorithms is of great significance to the design of high-precision and high-performa...

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Autores principales:	Xin Li, Xunxun Xu, Zhijuan Shen, Mengjun Sun
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/fab8b739e5974c508a31b37170f7733a
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id	oai:doaj.org-article:fab8b739e5974c508a31b37170f7733a
record_format	dspace
spelling	oai:doaj.org-article:fab8b739e5974c508a31b37170f7733a2021-11-08T02:36:29ZIterative Learning-Based PID Precision Control for Sports Performance Analysis1530-867710.1155/2021/6404172https://doaj.org/article/fab8b739e5974c508a31b37170f7733a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6404172https://doaj.org/toc/1530-8677Traditional function algorithms are contradictory to accuracy and performance. Therefore, taking into account the balance of accuracy and performance, the research of accuracy control-oriented mathematical function algorithms is of great significance to the design of high-precision and high-performance mathematical function algorithms. This paper is aimed at the design of mathematical function algorithm for precision control and has conducted indepth research on traditional PID control algorithm and fuzzy logic control theory. By analyzing the advantages and disadvantages of the two in practical applications, a parameter fuzzy cascade PID control is designed. The algorithm and its performance simulation and comparative analysis provide a theoretical basis for the follow-up accuracy control algorithm research and realization process. The accuracy control algorithm is then used to calculate and statistically analyze the sports performance including speed, strength (comprehensiveness and explosiveness), endurance, sensitivity, and coordination. The results show that the optimized function random point (nonextreme) test calculation accuracy is 99.5%, and the control accuracy improvement rate of the parameter fuzzy cascade PID control algorithm is about 18.24%. It has better control effect, stronger stability, and higher control accuracy. In the test of extreme points, the optimized test results are obviously better than those before optimization, which can effectively calculate sports results with high accuracy.Xin LiXunxun XuZhijuan ShenMengjun SunHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Xin Li Xunxun Xu Zhijuan Shen Mengjun Sun Iterative Learning-Based PID Precision Control for Sports Performance Analysis
description	Traditional function algorithms are contradictory to accuracy and performance. Therefore, taking into account the balance of accuracy and performance, the research of accuracy control-oriented mathematical function algorithms is of great significance to the design of high-precision and high-performance mathematical function algorithms. This paper is aimed at the design of mathematical function algorithm for precision control and has conducted indepth research on traditional PID control algorithm and fuzzy logic control theory. By analyzing the advantages and disadvantages of the two in practical applications, a parameter fuzzy cascade PID control is designed. The algorithm and its performance simulation and comparative analysis provide a theoretical basis for the follow-up accuracy control algorithm research and realization process. The accuracy control algorithm is then used to calculate and statistically analyze the sports performance including speed, strength (comprehensiveness and explosiveness), endurance, sensitivity, and coordination. The results show that the optimized function random point (nonextreme) test calculation accuracy is 99.5%, and the control accuracy improvement rate of the parameter fuzzy cascade PID control algorithm is about 18.24%. It has better control effect, stronger stability, and higher control accuracy. In the test of extreme points, the optimized test results are obviously better than those before optimization, which can effectively calculate sports results with high accuracy.
format	article
author	Xin Li Xunxun Xu Zhijuan Shen Mengjun Sun
author_facet	Xin Li Xunxun Xu Zhijuan Shen Mengjun Sun
author_sort	Xin Li
title	Iterative Learning-Based PID Precision Control for Sports Performance Analysis
title_short	Iterative Learning-Based PID Precision Control for Sports Performance Analysis
title_full	Iterative Learning-Based PID Precision Control for Sports Performance Analysis
title_fullStr	Iterative Learning-Based PID Precision Control for Sports Performance Analysis
title_full_unstemmed	Iterative Learning-Based PID Precision Control for Sports Performance Analysis
title_sort	iterative learning-based pid precision control for sports performance analysis
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/fab8b739e5974c508a31b37170f7733a
work_keys_str_mv	AT xinli iterativelearningbasedpidprecisioncontrolforsportsperformanceanalysis AT xunxunxu iterativelearningbasedpidprecisioncontrolforsportsperformanceanalysis AT zhijuanshen iterativelearningbasedpidprecisioncontrolforsportsperformanceanalysis AT mengjunsun iterativelearningbasedpidprecisioncontrolforsportsperformanceanalysis
_version_	1718443153877368832

Iterative Learning-Based PID Precision Control for Sports Performance Analysis

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