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Two wheels lego mindstorms balancing control based on discrete time delta representation

机译:两轮乐高思维思考基于离散时间三角洲表示的平衡控制

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Two wheel balancing robot referred as inverted pendulum is analyzed and implemented using Lego Mindstorms kit. The mathematical model was derived based on inverted pendulum equations with real parameters values appropriate to the real robot. The linearized state space mathematical model was converted into δ-domain counterpart due to the advantages of discrete time δ-operator in the context of finite word length representation. The most important factors which have a decisive importance are the sampling period and the numerical integration technique. LQR controller is proposed in order to stabilize the self-balancing two-wheeled robot. This control strategy optimally balances the error and control effort based on a cost function. Implementation of the constrained LQ on a real inexpensive hardware with very fast dynamic justifies this control approach and δ-domain discretization method which is numerically more stable.
机译:使用乐高思维套件分析并实施了两轮平衡机器人被称为倒立的摆锤。基于具有适合于真实机器人的真实参数值的反相摆动方程来导出数学模型。由于在有限字长度表示的背景下,线性化状态空间数学模型被转换为Δ-域对应物。具有决定性重要性的最重要因素是采样周期和数值集成技术。提出了LQR控制器,以稳定自平衡的两轮机器人。该控制策略基于成本函数对误差和控制工作进行了最佳余额。在具有非常快的动态的真正廉价硬件上实现受约束的LQ,这种控制方法和Δ-域离散化方法在数字上更稳定。

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