基于直接优化补偿的约束SISO非线性系统精确运动控制

Xingyi Liu, Yingqiang Liu, Fuxin Duan, Zheng Chen, B. Yao
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引用次数: 1

摘要

在同时考虑状态约束和输入约束的情况下保持高精度跟踪一直是一个具有挑战性的问题,大多数现有研究只是解决约束问题,很少考虑综合性能。为此,针对单输入单输出(SISO)非线性系统提出了一种基于直接优化的补偿自适应鲁棒控制(DOCARC)方法,该方法直接优化控制输入的模型补偿项,同时对参考点进行重新规划,使其符合约束条件。在单轴直线电机系统中进行了仿真,对比结果进一步验证了所提方案的优越性和有效性。
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Precision Motion Control of Constrained SISO Nonlinear System via Direct Optimized Compensation
Maintaining high precision tracking while considering both state and input constraints has always been a challenging issue, where most existing studies merely solve constrained issues and few take integrated performance into account. Thus, we put forwarded a direct optimization-based compensation adaptive robust control (DOCARC) approach for single input single output(SISO) nonlinear system, where the model compensation term of the control input is directly optimized and the reference is simultaneously replanned so as to conform to the constraints. Simulations are conducted in the single-axis linear motor system, and comparative results further verify the superiority and effectiveness of the proposed scheme.
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