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Optimal control of hydraulically driven parallel robot platform based on firefly algorithm

机译:基于萤火虫算法的液压并联机器人平台的最优控制

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摘要

A new cascade load force control design for a parallel robot platform is proposed. A parameter search for a proposed cascade controller is difficult because there is no methodology to set the parameters and the search space is broad. A parameter search based on firefly algorithm (FA) is suggested to effectively search the parameters of the cascade controller. We used unified mathematical model of hydraulic actuator of parallel robot platform. These equations are readily applicable to various types of proportional valves, and they unify the cases of critical center, overlapped and underlapped valves. These unified model equations are useful for nonlinear controller design. The optimal results are compared to those obtained from other metaheuristic algorithms: GA, PSO and CS. A comparative study is also made between proposed optimal tuned cascade control using FA and well-tuned PID controller. Simulation results show the advantages of the proposed optimal tuned cascade controller using FA to solve a formulated tracking problem.
机译:提出了一种新型的并联机器人平台级联负载力控制设计。因为没有设置参数的方法,而且搜索空间很宽,所以很难对提出的级联控制器进行参数搜索。为了有效地搜索级联控制器的参数,建议采用基于萤火虫算法(FA)的参数搜索方法。我们使用了并联机器人平台液压执行器的统一数学模型。这些方程式很容易适用于各种类型的比例阀,并且它们统一了临界中心阀,重叠阀和重叠阀的情况。这些统一的模型方程对于非线性控制器设计很有用。将最佳结果与从其他元启发式算法(GA,PSO和CS)获得的结果进行比较。还对建议的使用FA的最优调节级联控制和调节良好的PID控制器之间进行了比较研究。仿真结果表明了所提出的使用FA的最优调谐级联控制器解决拟定跟踪问题的优势。

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