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A generalized Prandtl-Ishlinskii model is proposed for characterizing rate-dependent hysteresis of Giant Magnetostrictive Actuator (GMA). A generalized play operator with rate-dependent envelope function is integrated into generalized Prandtl-Ishlinskii model to describe the rate-dependent effects of GMA. Good agreements are shown between simulation results and experimental data including major and...
To deal with the rate-dependent hysteresis, this paper proposes a Hammerstein-like system based on Fuzzy Tree method (FT) and the validity is verified by experimental data. Based on the proposed model, a PID feedback controller combined with nonlinearity inverse compensation in feedforward loop is used for tracking control. Numerical simulation shows that the control method is effective.
Positioning precision of giant magnetostrictive actuator (GMA) is seriously effected by hysteresis nonlinearity of giant magnetostrictive material (GMM). To solve the problem, based on improved Prandtl-Ishlinskii model and experimental data, the hysteresis model related to the stress of GMA and its hysteresis inverse model were established in the paper. The proportional controller with feedforward...
For magnetostrictive actuator (GMA) inherent hysteretic, a new real time hysteresis compensation method consisting of radial basis function neural network (RBF) feedforward and PID feedback controller is presented to achieve the position tracking control of GMA. Simulation results show the control strategy is effective for GMA hysteresis which is changed by the input signal, it can set up the hysteresis...
Giant Magnetostrictive Material (GMM) has inherent hysteretic nonlinearity, and its hysteretic performance changes with input frequency. Hence, it is difficult for a normal controller to control its actuator precisely. Due to this, a hysteretic compensation control strategy was proposed. Adopting neural network model reference, combine the dynamic model of Giant Magnetostrictive Actuator (GMA) as...
Design method of parameters adaptive controller for a giant magnetostrictive actuator is researched. According to the linear dynamic model built based on the working principle of giant magnetostrictive actuator, a parameters adaptive controller of the system is designed by integrator backstepping technology, and a strict theory proof is provided. The designed parameters adaptive controller makes sure...
Giant magnetostrictive actuator (GMA) has been used in precise position, active vibration control with characteristics of large output force and displacement. Hysteresis nonlinearity is main drawback of GMA, which causes undesirable inaccuracies, oscillations, even instability to systems and restricts its potential application. Specially, stress-dependent hysteresis is encountered in GMA, which means...
In this paper, an online intelligent modeling method, which is based on an improved online least squares support vector machines(IOLS-SVM), is presented for identifying rate-dependent hysteresis nonlinearity, and is used to online real-time training. In order to obtain the data which is adapted to IOLS-SVM, the original one-dimension input space is first projected on a high dimension input space,...
Due to high output force and great displacement, Giant Magnetostrictive Actuator (GMA) has a wide application including microposition and active vibration control. However, the inherent hysteresis nonlinearity of GMA impacts severely the stability and precision of the system; especially the complex hysteresis nonlinearity is stress-dependent. Based on the Modified Prandtl-Ishlinskii (MPI) model and...
Effective employment of giant magnetostrictive actuator (GMA) is limited in trajectory-tracking applications due to hysteresis nonlinearity, especially it is stress-dependent. In this paper, the properties of stress-dependent hysteresis for GMA are studied and a stress-dependent hysteresis model is given by extending modified Prandtl-Ishlinskii model to describe hysteresis effects. The identification...
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