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Design of PID controller for magnetic leviation system using modified gravitational search algorithm

机译:基于改进的重力搜索算法的磁悬浮系统PID控制器设计。

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Gravitational search algorithm (GSA) is a swarm intelligence-based algorithm which is inspired from the law of motion and law of gravity. GSA leads to the loss of the exploitation capability. To find a trade-off between exploration and exploitation capabilities of GSA, a modified gravitational search algorithm is proposed namely exponent inertia weight-based GSA (EIWGSA). The proposed algorithm maintains a proper balance between the exploitation and exploration skills of GSA by introducing an exponent inertia weight (EIW) parameter. The proposed algorithm is implemented over 15 benchmark functions and compared with basic GSA, BBO and PSO algorithm. Then, the MGSA algorithm is applied to design of PID controller for the magnetic leviation system over a wide difference operating air gap as 3 mm, 10 mm and 17 mm.
机译:引力搜索算法(GSA)是一种基于群体智能的算法,其灵感来自运动定律和重力定律。 GSA导致利用能力的丧失。为了在GSA的勘探能力与开采能力之间取得平衡,提出了一种改进的重力搜索算法,即基于指数惯性权重的GSA(EIWGSA)。通过引入指数惯性权重(EIW)参数,该算法在GSA的开发和勘探技能之间保持了适当的平衡。该算法在15个基准功能上实现,并与基本的GSA,BBO和PSO算法进行了比较。然后,将MGSA算法应用于磁悬浮系统的PID控制器的设计中,该磁悬浮系统在3 mm,10 mm和17 mm的较大工作气隙上。

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