...
首页> 外文期刊>WSEAS transactions on systems and control >Optimum Setting and Performance Evaluation of the Three Mode Controller Using Bio Inspired Soft Computing Algorithms
【24h】

Optimum Setting and Performance Evaluation of the Three Mode Controller Using Bio Inspired Soft Computing Algorithms

机译:基于生物启发式软计算算法的三模式控制器的最佳设置和性能评估

获取原文
获取原文并翻译 | 示例
           

摘要

The best possible and desirable solution of the engineering problems can be found using optimization algorithms. The most widely used dc-dc converters are highly non-linear dynamical systems. Designing a control technique has been a most promising control area. One of the robust non-linear sliding mode controllers has been proved by researchers to be having large signal stability and providing good dynamic response. But the complicated design of the controller as well as the problems encountered during practical implementation gives rise to the necessity to design a controller which gives better performance than the former case and simple in structure and design. The traditional linear three mode PID (Proportional Integral Derivative) controllers which are the most common control algorithm in industries can be properly tuned so that they overcome the performance of the former case. The Bacterial Foraging Optimization Algorithm and Artificial Bee Colony Algorithm have been used for tuning purpose. The best optimization algorithm has been identified and the effectiveness of the PID controller tuned using the best optimization algorithm over the sliding mode controller has been proved.
机译:使用优化算法可以找到最佳可行的工程问题解决方案。使用最广泛的dc-dc转换器是高度非线性的动态系统。设计控制技术一直是最有前途的控制领域。研究人员已证明其中一种鲁棒的非线性滑模控制器具有较大的信号稳定性并提供了良好的动态响应。但是,控制器的复杂设计以及在实际实现过程中遇到的问题使得有必要设计一种控制器,该控制器的性能要比前一种情况好,结构和设计也很简单。传统线性三模式PID(比例积分微分)控制器是工业上最常见的控制算法,可以对其进行适当的调整,以克服前一种情况的性能。细菌觅食优化算法和人工蜂群算法已用于调整目的。确定了最佳优化算法,并证明了使用最佳优化算法对PID控制器进行调节的效果优于滑模控制器。

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