{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T05:27:15Z","timestamp":1782970035473,"version":"3.54.5"},"reference-count":25,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2022,3,28]]},"abstract":"<jats:p>The quadrotor drone is small in size and light in weight, the mechanical structure is simple, and the requirements for the working environment are low. The development of a quadrotor UAV technology is also the focus of the current technical personnel. The author proposes a four-rotor UAV sensor fault diagnosis and fault-tolerant control based on genetic algorithm and introduces common sensor failures, and based on the improved BP neural network of the GA algorithm, the genetic algorithm is improved. This paper uses a classical BP algorithm, a classical GA-BP algorithm, and an improved GA-BP algorithm for training. Using a total of 150 sets of training data and training function using LevenbregMarquardt (trainlm), MeanSquaredError (performance function using mse), in the same noise background, the improved GA-BP algorithm has the highest detection rate, the classical GA-BP algorithm followed, and classical BP algorithm is the worst. Therefore, using the improved GA-BP algorithm, various errors of the sensor can be detected quickly and accurately.<\/jats:p>","DOI":"10.1155\/2022\/8626722","type":"journal-article","created":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T14:20:27Z","timestamp":1648477227000},"page":"1-8","source":"Crossref","is-referenced-by-count":19,"title":["Sensor Fault Diagnosis and Fault Tolerant Control of Quadrotor UAV Based on Genetic Algorithm"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4577-5275","authenticated-orcid":true,"given":"Lianghao","family":"Hua","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Yangzhou University, Yangzhou, Jiangsu 225009, China"},{"name":"College of Intelligent Manufacturing, Yangzhou Polytechnic Institute, Yangzhou, Jiangsu 225127, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1593-3677","authenticated-orcid":true,"given":"Jianfeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Yangzhou University, Yangzhou, Jiangsu 225009, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1642-3257","authenticated-orcid":true,"given":"Dejie","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 211106, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0112-1555","authenticated-orcid":true,"given":"Xiaobo","family":"Xi","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Yangzhou University, Yangzhou, Jiangsu 225009, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6164-0915","authenticated-orcid":true,"given":"Mohd Asif","family":"Shah","sequence":"additional","affiliation":[{"name":"Kebri Dehar University, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1049\/el.2016.0675"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.3390\/en12091695"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2017.2713482"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2858143"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2017.01.020"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2015.2463115"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.3390\/en8054300"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.3390\/s16101695"},{"issue":"4","key":"9","first-page":"190","article-title":"Single phase pwm rectifier sensor fault tolerant control based on residual generation","volume":"14","author":"S. 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