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LQR optimal control research for four-wheel steering forklift based-on state feedback

机译:基于国家反馈的四轮转向叉车的LQR最优控制研究

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摘要

Taking the steering performance of four-wheel steering (4WS) forklift as the research object, based on two degrees of freedom (2DOF) model and three degree of freedom (3DOF) model of 4WS system, combined with the characteristics and steering requirements of forklift, the Linear Quadratic Regulator (LQR) optimization control algorithm based on state feedback is proposed, and the solution of LQR control algorithm for the 4WS forklift is presented. The simulation analyses of the steering performance of proportional control 4WS, LQR control 4WS and rear wheel steering (RWS) control are given. The simulation results show that the comprehensive effect of LQR optimal control is better, and it effectively improves the flexibility and the handling stability of 4WS forklift.
机译:采用四轮转向(4WS)叉车作为研究对象的转向性能,基于两度自由度(2DOF)模型和4WS系统的三维自由度(3DOF)模型,结合叉车的特点和转向要求 ,提出了基于状态反馈的线性二次调节器(LQR)优化控制算法,并提出了4WS叉车的LQR控制算法的解决方案。 给出了比例控制4WS,LQR控制4W和后轮转向(RWS)控制的转向性能的模拟分析。 仿真结果表明,LQR最优控制的综合效果更好,有效提高了4WS叉车的灵活性和处理稳定性。

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