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Cloud-model PID control of double inverted pendulum based on information fusion

机译:基于信息融合的双倒立摆的云模型PID控制

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摘要

Aimed at the characteristics of nonlinear, strong coupling, multi-variable and natural unstable for inverted pendulum, based on information fusion technology, the state feedback gain matrix with quadratic optimal performance index is adopted as fusion function to reduce dimension of the outputs vector for double inverted pendulum, and decrease the difficulty of controller design. On this basis, a cloud model based PID controller is designed by combining clouds model with conventional PID and applied to the stabilization control of double inverted pendulum, the cloud inference mode is used to adjust PID control parameters adaptively. The simulation results show that the control method has excellent dynamic performance and strong robustness, and reflect the superiority of the cloud model as an uncertain conversion between qualitative concept and quantitative description in dealing with uncertainty problems.
机译:针对非线性,强耦合,多变量和自然不稳定的特性,基于信息融合技术,采用具有二次最佳性能指数的状态反馈增益矩阵作为融合功能,以减少输出向量的双倍的尺寸倒挂摆,减少了控制器设计的难度。在此基础上,通过将云模型与传统的PID组合并应用于双反射摆的稳定控制来设计基于云模型的PID控制器,云推断模式用于自适应地调整PID控制参数。仿真结果表明,控制方法具有出色的动态性能和强大的鲁棒性,并反映了云模型的优越性,作为定性概念与处理不确定性问题的定量描述之间的不确定转换。

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