...；Simulink；PID控制算法；联合仿真 [gap=2230]Keywords：Electric Power Steering；AMESim；Simulink；PID Control Algorithms； Unitedsimulation ...
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positional pid control algorithms 位置式pid控制算法
multiple models Fuzzy-PID control algorithms 多模型模糊PID控制算法
This article researches the intelligent PID control algorithms carefully.
本文详细研究了智能PID控制方法。
This algorithm is with wider application range compared with the other self-tuning PID control algorithms.
该算法与其它自校正PID控制算法相比，具有适用范围更广的特点。
The result showed that the PID controller optimized by genetic algorithms had higher accuracy and stronger adaptability and it can get satisfying control effect.
仿真结果表明，经过遗传算法优化的PID控制器具有较高的精度和较强的适应性，能获得满意的控制效果。
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