Self-organizing fuzzy control of constant cutting force in turning
Self-organizing fuzzy control of constant cutting force in turning
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DOI：
10.1007/s00170-005-2546-8
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发表时间：
2006-09
期刊：
影响因子：
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通讯作者：
Ruey-Jing Lian;Bai-Fu Lin;Jyun-Han Huang
中科院分区：
文献类型：
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作者：
Ruey-Jing Lian;Bai-Fu Lin;Jyun-Han Huang
恒力控制正逐渐成为现代制造过程中的一项重要技术。特别是，恒定切削力控制是提高车削系统金属切除率和刀具寿命的有效方法。然而，转向系统普遍具有非线性和不确定性的动态特性。设计用于恒定切削力控制的基于模型的控制器很困难，因为很难在车削系统中建立精确的数学模型。因此，本研究采用无模型模糊控制器来控制车削系统，以实现恒定切削力控制。然而，传统模糊控制器（TFC）的设计在寻找控制规则和选择合适的隶属函数方面存在困难。此外，TFC的数据库和模糊规则在设计步骤之后是固定的，然后不能根据系统输出响应和期望的控制性能实时地适当地调节它们。为了解决上述问题，本文开发了一种用于恒切削力控制的自组织模糊控制器（SOFC）来评估车削系统的控制性能。 SOFC 在车削过程中以模糊规则的形式不断更新学习策略。该SOFC的模糊规则表可以从零初始模糊规则开始，不仅克服了TFC设计的困难，而且建立了合适的模糊规则表，支持实用方便的模糊控制器在车削系统控制中的应用。为了确认所提出的智能控制器的适用性，这项工作对一台旧车床进行了车削系统改造，以评估恒定切削力控制的可行性。实验结果验证了SOFC在恒切削力控制方面比TFC具有更好的控制性能。
Constant force control is gradually becoming an important technique in the modern manufacturing process. Especially, constant cutting force control is a useful approach in increasing the metal removal rate and the tool life for turning systems. However, turning systems generally have nonlinear with uncertainty dynamic characteristics. Designing a model-based controller for constant cutting force control is difficult because an accurate mathematical model in the turning system is hard to establish. Hence, this study employed a model-free fuzzy controller to control the turning system in order to achieve constant cutting force control. Nevertheless, the design of the traditional fuzzy controller (TFC) presents difficulties in finding control rules and selecting an appropriate membership function. Moreover, the database and fuzzy rules of a TFC are fixed after the design step and then cannot appropriately regulate ones real time according to the system output response and the desired control performance. To solve the above problem, this work develops a self-organizing fuzzy controller (SOFC) for constant cutting force control to evaluate control performance of the turning system. The SOFC continually updates the learning strategy in the form of fuzzy rules, during the turning process. The fuzzy rule table of this SOFC can be begun with zero initial fuzzy rules which not only overcome the difficulty in the TFC design, but also establish a suitable fuzzy rules table, and support practically convenient fuzzy controller applications in turning systems control. To confirm the applicability of the proposed intelligent controllers, this work retrofitted an old lathe for a turning system to evaluate the feasibility of constant cutting force control. The SOFC has a better control performance in constant cutting force control than does the TFC, as verified in experimental results.