用模糊逻辑控制BLDC电机的自适应速度控制,以提高电动汽车的性能,使用模糊逻辑
R Shenbagalakshmi1, Shailendra Kumar Mittal2, J Subramaniyan3
1Department of Electrical & Electronics Engineering, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Avadi, Chennai, India.
迷糊逻辑控制 (FLC) 与传统的PID控制器相比,为电动汽车 (EV) 的无刷直流 (BLDC) 电机提供了更好的转速调节. FLC确保了更快的响应,零超速和增强的稳定性,以提高电动汽车的性能和效率.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 汽车技术 汽车技术
背景情况:
- 传统的比例整合导数 (PID) 控制器在电动汽车 (EV) 推进系统中与非线性和参数不确定性作斗争.
- PID控制器往往导致低于最佳性能,包括短暂的超速和缓慢的响应时间,影响EV动态.
- 无刷直流 (BLDC) 电机对于电动汽车推进至关重要,需要精确的速度控制才能实现最佳运行.
研究的目的:
- 调查使用电动汽车BLDC电机的模糊逻辑控制 (FLC) 的闭环速度控制方法.
- 为了提高动态性能,响应时间和在不同负载条件和参数不确定性下稳定性.
- 为了证明FLC在电动汽车应用中优于传统PID控制器的优势.
主要方法:
- 用BLDC电机的状态空间建模来分析系统动态.
- 一个模糊逻辑控制器 (FLC) 被设计和集成用于精确的速度控制.
- 通过模拟和硬件实现,对FLC和PID控制器进行了比较分析.
主要成果:
- FLC实现了顺的速度转换,没有超速和零稳定状态错误,与PID的0.1s相比,在0.05s内定位.
- FLC 保持了恒定的扭矩响应 (大约. 在负载波动下,与振荡PID响应不同的是1.05 Nm).
- 在实时电动汽车设置中,FLC表现出强大的性能,在广泛的速度范围内 (1500-3000rpm) 显示更快的干扰拒绝和适应性.
结论:
- 在电动汽车应用中,FLC是比PID控制器更有效的BLDC电机转速控制控制策略.
- FLC方法提高了推进效率,减少了机械应力,并提高了电动汽车的驾驶稳定性.
- 这种FLC战略为未来的电动汽车技术提供了一个有希望的解决方案,提高了能源利用率和系统可靠性.
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