粒子群优化的车内模糊主动噪声控制方法

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关键词：车内噪声；主动噪声控制；TSK模糊控制;FxLMS算法；粒子群优化；正交试验 中图分类号：TB535；U121 文献标志码：A DOI：10.16385/j.cnki.issn.1004-4523.202506057

Amethod for vehicleinteriorfuzzyactivenoise control using particle swarm optimization

ZHANG Enlai'，PENG Zhilong'，DU Jiafu1，WANG Heng1，SULiang²，LIN Baoxing² （1.Fujian KeyLaboratoryofBus Advanced Designand Manufacture，Xiamen UniversityofTechnology，Xiamen361024，China; 2.National andLocal Joint Engineering LaboratoryofNewEnergy Bus Electronic Control and Safety Technology， Xiamen KingLongUnited Automotive Industry Co.，Ltd.，Xiamen 361023，China）

Abstract：ToaddresthessuesofloweficiencyinmaalparametertunngandowconvergencespedofthestadardFxLMlgorithin vehicleactiveosectrol（ACstes，isdyproposaniproedFLgorititegatigparticlesaotiatio（O） withTakagi-Sugeno-Kangfuzzycontrol（SO-TSK-FxLMS）.Theproposedmethodenhancestheonvergencespeedandnoisereduction performanceofANCsystemstroughintellgentoptizationoffuzzyontrolgainparametersTakingthetieabsolutedeviationintegalof theerrorsignalasthefitnessfunctionthePSOalgorithmisemploedtogloballysearchfortheoptimalparametecombinations，and combinedwiththeonlinearmappingcapabilityofthKfuzontrol，thedaptivenoisecontrolisealiedBasedonacquidinter noisedatafromthedrive'sareaofanelectricbusundercostant-spedandaelerationcondions，ANCsimulationsandardwaetests demonstratethatcomparedwiththeTSK-FxLMSalgorithmandthestandardFxLMSalgorithm，theestablishedPSO-TSK-FxLMSmodel exhibitsspeofeasibilitdectivesictiesedtiodflteoveeTproityofttialsoutiosaid fromtherthogonalexperimentaldesignandPSOoptimzationintheparameterspaceverfiesthereliabilityoftheproposedoptization scheme， which provides a novel approach for adaptive parameter optimization in vehicle ANC systems.

Keywords：vehicleinterioroise；activenoisecontrol;TSKfuzzycontrol;FxLMSalgorithm;particleswarmoptimization；orogoal experiment

随着新能源汽车技术的快速发展与市场普及，人们对电动客车的噪声控制提出更高要求。（剩余15523字）