Fuzzy Model-Reference Adaptive Control Method For An Underwater Robotic Manipulator

Pengendali robotik dalam air (URM) adalah berbeza jika dibandingkan dengan pengendali robotik biasa atau yg berada di permukaan. Dinamiknya mempunyai ketidakpastian yang besar bergantung kepada daya apungan, daya yang dihasilkan oleh jisim tambahan/momen luas kedua dan daya geseran. Tambahan lagi, ia juga dipengaruhi oleh gangguan luaran yang penting seperti arus dan ombak. The underwater robotic manipulators (URMs) are different with the ordinary or landbased robotic manipulators. Its dynamics have large uncertainties owing to the buoyancy, force induced by the added mass/moment of inertia and the drag force. Moreover, they are also affected by the crucial external disturbances such as currents and waves

Theory And Design Issues Of Underwater Manipulator.

In this paper we discuss the theory and implementation issue that is faced by underwater manipulators designers

Fuzzy Logic Approach for Hybrid Position/Force Control On Underwater Manipulator.

A fuzzy logic control method for hybrid position/force control of underwater manipulator is proposed in this paper

Modeling And Control Of 2-DOF Underwater Planar Manipulator.

This paper investigates the performance of the fuzzy model reference adaptive control applied on 2-dof underwater planar manipulator (MIMO system). Takagi-Sugeno fuzzification is chosen for the fuzzy system. Proportional-integral update law is used in the adjustment mechanism to obtain a fast parameters adaption