Adaptive control for lift-off effect of EMAT based on IF-THEN rules and ultrasound RMS value

In the manufacturing industry, the detection of discontinuities on or below the surface of a test object is important for quality control. Also, in many instances when the object's surface cannot be in physical contact with the sensor (i.e. high temperature or surface conditions) a scan using non contact technique is required. In this work, the use of electromagnetic acoustic transducer (EMAT) to detect discontinuities without contact is proposed. To optimize the EMAT performance a constant lift-off distance between the sensor and the surface is needed. Here, we propose to use the signal gathered by the EMAT sensor as the position feedback of the end-effector of a linear system with one degree of freedom. A novel adaptive scheme for accurate positioning of an EMAT sensor based on RMS value of signal's amplitude and IF-THEN rules is proposed. This incorporates human knowledge about the manipulator and signal behavior into the artificial controller. An experimental system to validate the proposed controller was developed.

[1]  Shaocheng Tong,et al.  Adaptive Fuzzy Decentralized Control for Large-Scale Nonlinear Systems With Time-Varying Delays and Unknown High-Frequency Gain Sign , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[2]  S. Uatrongjit,et al.  Adaptive controller with fuzzy rules emulated structure and its applications , 2005, Eng. Appl. Artif. Intell..

[3]  Jorge Armendariz,et al.  Force feedback controller based on fuzzy-rules emulated networks and Hertzian contact with ultrasound , 2012 .

[4]  Ruiyun Qi,et al.  Adaptive control schemes for discrete-time T-S fuzzy systems with unknown parameters and actuator failures , 2011, Proceedings of the 2011 American Control Conference.

[5]  Wei Zhao,et al.  Study on the Lift-off Effect of EMAT , 2009 .

[6]  H. Ogi,et al.  EMATs for Science and Industry: Noncontacting Ultrasonic Measurements , 2010 .

[7]  Shaocheng Tong,et al.  Adaptive Fuzzy Output Feedback Tracking Backstepping Control of Strict-Feedback Nonlinear Systems With Unknown Dead Zones , 2012, IEEE Transactions on Fuzzy Systems.

[8]  Riichi Murayama,et al.  Development of an ultrasonic inspection robot using an electromagnetic acoustic transducer for a Lamb wave and an SH-plate wave. , 2004, Ultrasonics.

[9]  Shuzhi Sam Ge,et al.  Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach , 2012, IEEE Transactions on Fuzzy Systems.

[10]  Francisco Hernandez-Valle,et al.  Initial tests for designing a high temperature EMAT with pulsed electromagnet , 2010 .