CAJ | 학술논문

针对传统PID控制器在无刷直流电机控制时的鲁棒性差、精度低等缺点，在分析BLDCM数学模型的基础上，设计了RFBNN自适应PID控制器应用于无刷直流电机控制系统。通过Matlab／Simulink环境下的仿真实验表明，与传统的PID控制方法相比，该方法大大改善了系统的动态特性，减小了系统的稳态误差，提高了系统的自适应能力和抗干扰能力，满足了系统的控制性能要求。
침대전통PID공제기재무쇄직류전궤공제시적로봉성차、정도저등결점，재분석BLDCM수학모형적기출상，설계료RFBNN자괄응PID공제기응용우무쇄직류전궤공제계통。통과Matlab／Simulink배경하적방진실험표명，여전통적PID공제방법상비，해방법대대개선료계통적동태특성，감소료계통적은태오차，제고료계통적자괄응능력화항간우능력，만족료계통적공제성능요구。
Aiming at the weakness that traditional PID controller can＇t adjust themselves according to parameter variation of BLDCM, based on the mathematical model of the brushless DC motor, a control strategy which is based on Radial Basis Function Neural Network is provided for BLDCM control system. The experiment result which is based on the environment of Matlab/Simulink show that this control strategy has better dynamic and static characteristics than traditional PID control strategy, reducing the steadystate error of the system and improve the adaptive capacity and anti-jamming, meet performance requirements.