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Design of stable fuzzy controllers for an AGV

机译:AGV稳定模糊控制器的设计

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摘要

Fuzzy logic control is a relatively new technology and hence it needs rigorous comparative analyses with other well-established conventional control schemes. Furthermore, fuzzy controller stability analysis is a major hindrance for its popularity among control engineers. This paper shows how stable fuzzy controllers may be synthesized for a typical AGV from the perspective of variable structure systems (VSS) theory. VSS or sliding model control (SMC) is an established robust nonlinear control methodology. The AGV is characterized by highly nonlinear, coupled and configuration dependent dynamics, with uncertainty in model parameters. Similarity in performance of the fuzzy controllers to the SMC controller is demonstrated through experimental results obtained for steering control of the AGV.
机译:模糊逻辑控制是一种相对较新的技术,因此需要与其他良好的传统控制方案进行严格的比较分析。此外,模糊控制器稳定性分析是控制工程师中普及的主要障碍。本文从可变结构系统(VSS)理论的角度来看,如何为典型的AGV合成稳定的模糊控制器。 VSS或滑动模型控制(SMC)是一种既定的强大的非线性控制方法。 AGV的特点是高度非线性,耦合和配置相关动态,模型参数的不确定性。通过针对AGV的转向控制的实验结果证明了模糊控制器的模糊控制器性能的相似性。

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