基于迭代学习的光伏路灯轨迹跟踪控制

Trajectory Tracking Control of Photovoltaic Street Lamp Based on Iterative Learning

为提高光伏路灯对太阳的轨迹跟踪能力及储能效率,提出了一种两关节型结构的光伏路灯,根据相关天文学公式和参数计算出太阳轨迹,采用闭环PD型迭代学习控制算法对其进行轨迹跟踪控制。建立了两关节型光伏路灯的动力学模型,给出了闭环PD型迭代学习控制算法。分别对独立PD控制和闭环PD型迭代学习控制进行仿真对比,结果表明采用闭环PD型迭代学习控制算法对轨迹跟踪是有效的。

In order to improve the solar trajectory tracking ability and energy storage efficiency of photovoltaic （PV） street lamp, this article proposed a PV street lamp with dual-joint-type structure. In accordance of relative astronomical formulas and parameters, the article calculated the sun trajectory, then put forward the trajectory tracking control on it based on close-loop PD iterative learning control arithmetic. Simulating and comparing individual PD control and close-loop PD iterative learning control, the result shows that it is effective on trajectory tracking to use PD iterative learning control arithmetic.