This paper aimed to develop a real-time monitoring and Fuzzy-based control system for non-Newtonian fluids properties as apparent viscosity. Fuzzy logic was chosen as the control paradigm due to its low implementation complexity compared to other advanced control techniques and its outstanding feature of simplifying the transfer of knowledge from the operator/expert to the control system. To validate the proposed fuzzy control strategy, the authors developed a flow loop system for real-time monitoring and controlling the viscosity of carboxymethylcellulose's aqueous solutions. For apparent viscosity monitoring, a tubular viscometer was developed based on volumetric fluid flow and pressure drop in a defined tube length. The control strategy used in this work was based on Fuzzy Logic, with the Mamdani inference method, which was based on the possibility of transferring the linguistic information from the expert process operator's knowledge to the machine domain language, thus establishing the knowledge basis of the fuzzy controller. The proposed control strategy was validated by experimental tests in a flow loop system, regulator, and servo problems for apparent viscosity. Results showed the Fuzzy controller's satisfactory performance, which proved to be a great potential tool for online monitoring, preparation, and control of the apparent viscosity of drilling fluids.

本文旨在开发一种实时监测和基于模糊控制的非牛顿流体特性（如表观粘度）的控制系统。选择模糊逻辑作为控制范式是因为与其他先进的控制技术相比，它的实现复杂性低，并且其突出的特点是简化了从操作员/专家到控制系统的知识转移。为了验证所提出的模糊控制策略，作者开发了一个流动回路系统，用于实时监测和控制羧甲基纤维素水溶液的粘度。对于表观粘度监测，基于定义的管长度内的体积流体流量和压降开发了一种管状粘度计。这项工作中使用的控制策略基于模糊逻辑，使用 Mamdani 推理方法，它基于将语言信息从专家过程操作员的知识转移到机器领域语言的可能性，从而建立了模糊控制器的知识基础。所提出的控制策略通过流量回路系统、调节器和伺服问题的表观粘度实验测试得到验证。结果表明，模糊控制器具有令人满意的性能，被证明是在线监测、制备和控制钻井液表观粘度的一种很有潜力的工具。表观粘度的调节器和伺服问题。结果表明，模糊控制器具有令人满意的性能，被证明是在线监测、制备和控制钻井液表观粘度的一种很有潜力的工具。表观粘度的调节器和伺服问题。结果表明，模糊控制器具有令人满意的性能，被证明是在线监测、制备和控制钻井液表观粘度的一种很有潜力的工具。