Equivalent Electronic Circuit of a System of Oscillators Connected With Periodically Variable Stiffness

In this paper, we have shown the electronic circuit equivalence of a mechanical system consists of two oscillators coupled with each other. The mechanical design has the effects of the magnetic, resistance forces and the spring constant of the system is periodically varying. We have shown that the system’s state variables, such as the displacements and the velocities, under the effects of different forces, lead to some nonlinear behaviors, like a transition from the fixed point attractor to the chaotic attractor through the periodic and quasi-periodic attractors. We have constructed the equivalent electronic circuit of this mechanical system and have verified the numerically obtained behaviors using the electronic circuit.

A low noise CMOS instrumentation amplifier for TMR-effect-based magnetic sensors

This paper presents a low [Formula: see text] noise CMOS single-ended output instrumentation amplifier (IA) for tunneling magnetic resistance (TMR) sensors. For high DC gain and linearity, the amplifier employs three-stage current-feedback topology. For high CMRR and PSRR, the first two stages employ fully differential input. To maintain stability and lower the power dissipation, the amplifier employs trans-conductance with capacitance feedback compensation (TCFC) topology. The amplifier employs chopping technology and continuous-time AC-coupled ripple reduction loop to reduce [Formula: see text] noise and chopping ripple. The whole chip is fabricated using 0.35 [Formula: see text]m CMOS-BCD technology and the total area is 1 mm2. Test result shows an input-referred noise power spectral density (PSD) of 14 nV/[Formula: see text] is achieved with 1 Hz [Formula: see text] corner. The bandwidth is larger than 50 kHz [Formula: see text] with 20 pF load capacitor. The total current is 300 [Formula: see text]A at 5 V supply.

Improved Method for Distributed Parameter Model of Solenoid Valve Based on Kriging Basis Function Predictive Identification Program

In this paper, a method for the improvement of the calculation accuracy of the distributed parameter model (DPM) of electromagnetic devices is proposed based on the kriging basis function predictive identification program (PIP). Kriging is mainly an optimal interpolation method which uses spatial self-covariance, and takes a polynomial as the basis function. The accuracy of the kriging-based surrogate model can be improved by adjusting the related functions and hyperparameters. Based on the DPM of a solenoid valve, there exist certain errors in the estimation. They can be summarized as follows: Firstly, the estimation error of magnetic flux leakage (MFL) permeance is caused directly by the deviation of the magnetic flux tube due to the segmented magnetic field line. Secondly, the estimation error of soft magnetic resistance because of the nonlinearity of the permeability of soft magnetic material leads to the change of soft magnetic resistance alongside the magnetic flux. In this paper, an improved kriging error correction method is applied to modify the leak permeance and soft magnetic resistance calculation. The kriging basis function is adjusted to adapt to the data curve of the MFL permeance error data. The calculated MFL permeance data are compared with the error variation data to select the appropriate basis function. To improve the computational efficiency, the PIP is proposed to select the appropriate basis function. The modified MFL permeance data and soft magnetic resistance are substituted into the DPM for improving the computational accuracy and efficiency of the solenoid valve.