...
首页> 外文期刊>Engineering Applications of Artificial Intelligence >Real-time fuzzy-feedforward controller design by bacterial foraging optimization for an electrohydraulic system
【24h】

Real-time fuzzy-feedforward controller design by bacterial foraging optimization for an electrohydraulic system

机译:电液系统细菌觅食优化的实时模糊前馈控制器设计

获取原文
获取原文并翻译 | 示例
           

摘要

High power-to-weight ratio rugged electrohydraulic systems are extensively used for land tilling, harvesting, construction and various industrial control operations. Flow, friction and valve deadband nonlinearities of these systems make the controller design quite challenging, especially for meeting fast and precise motion tracking requirements. For such a system, a bacterial foraging optimization, or BFO, has been employed with a simple swarming method proposed here to design a real-time controller. With a fuzzy voltage compensating the flow-related continuous nonlinearities, a feedforward voltage has been employed to cater for known external loading and discontinuous internal nonlinearities due to the valve deadband and cylinder stiction. Acceptability of the optimized controller has been demonstrated by testing the performances for square, trapezoidal and triangular demands for the piston position variation with time.
机译:高功率重量比的坚固型电动液压系统广泛用于土地耕作,收割,建筑和各种工业控制操作。这些系统的流量,摩擦和阀死区非线性使控制器设计极具挑战性,尤其是在满足快速,精确的运动跟踪要求方面。对于这样的系统,细菌觅食优化或BFO已与此处提出的简单群聚方法一起用于设计实时控制器。利用模糊电压补偿与流量相关的连续非线性,由于阀死区和汽缸静摩擦,前馈电压已被用来满足已知的外部负载和不连续的内部非线性。通过测试活塞位置随时间变化的方形,梯形和三角形要求的性能,可以证明优化控制器的可接受性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号