The embodiment of the invention relates to the field of intelligent manufacturing, in particular to a tower crane control parameter adjusting method and device, computing equipment and a storage medium. According to the specific scheme, the method comprises the following steps: predicting PID parameters by using a neural network model based on position deviation between a track planning point position and an actual position of a tower crane lifting hook to obtain predicted values of the PID parameters; controlling the operation of the lifting hook based on the predicted value of the PID parameter, and calculating the fitting degree of the actual path and the planned path of the operation of the lifting hook; adjusting the learning rate and inertial parameters of the neural network model according to the fitting degree; and on the basis of the adjusted learning rate and the inertial parameter, utilizing a neural network model to predict the PID parameter to obtain the PID parameter for controlling the operation of the lifting hook. According to the embodiment of the invention, the PID parameters are accurately predicted by utilizing the neural network model, the control parameters can be continuously learned and corrected in the operation process of the tower crane, the self-adaptive adjustment of the control parameters of the tower crane is realized, and the operation control precision of the tower crane is improved.
本申请实施例涉及智能制造领域,且涉及一种塔吊控制参数调节方法及装置、计算设备和存储介质。该方法具体方案为:基于塔吊吊钩的轨迹规划点位置与实际位置之间的位置偏差,利用神经网络模型对PID参数进行预测,得到PID参数的预测值;基于PID参数的预测值对吊钩运行进行控制,计算吊钩运行的实际路径与规划路径的拟合度;根据拟合度调整神经网络模型的学习率和惯性参数;基于调整后的学习率和惯性参数,利用神经网络模型对PID参数进行预测,得到用于控制吊钩运行的PID参数。本申请实施例利用神经网络模型对PID参数进行准确预测,可以在塔吊运行过程中不断学习和纠正控制参数,实现塔吊控制参数的自适应调节,提高塔吊运行的控制精度。
Tower crane control parameter adjusting method and device, computing equipment and storage medium
塔吊控制参数调节方法及装置、计算设备和存储介质
2022-12-13
Patent
Electronic Resource
Chinese
IPC: | B66C Krane , CRANES |
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