Two-Stage Neural Observer for Mechanical Systems

Design of generalized terminal sliding mode control for second-order systems

“…It implies that the sliding surface guaranteeing finite time convergence should satisfy the condition (4). Remark 1: It is clear that the proposed generalized terminal sliding surface (3) is a superset of the conventional terminal sliding surface (2), that is, g(x)=cx p/q satisfies the condition (4).…”

“…That is, asymptotic stability does not imply finite time convergence. However, finite time stabilization is very important in many industrial applications such as motor systems, power systems, robot manipulators, spacecraft systems, and so on; thus, there have been many recent studies on finite time stabilization [1][2][3][4][5][6].…”

Minimum Error Entropy Filter for Fault Detection of Networked Control Systems

“…The functional approximation capabilities of neural networks have been exploited in the design of neural observers or filters [23,24]. Likewise, neural networks can be utilized in approximating the filter gain.…”

PMSM sensorless control with separate control strategies and smooth switch from low speed to high speed

“…Position sensorless control technology has the advantages of low cost, small hardware complexity and high reliability by using the method of rotor position prediction. The study of PMSM sensorless control has become a hot topic in the field of drive control in recent years [1][2][3][4][5][6][7][8][9][10].…”

“…A rotor electromotive force (EMF) adaptive stator current observer is proposed in [4] according to salient pole effect of permanent magnet brushless DC motor to estimate electromagnetic torque. The work in [5][6][7] introduce sliding mode observer in position sensorless control algorithm and improve the performance using fuzzy control, piecewise linear model and radial basis function neural network model, respectively. The above methods adopt motor stator current and voltage to estimate rotor position, which can obtain satisfied position prediction when the speed meets the computational requirements of stator voltage and current.…”