Output Voltage Of Circuit Research Articles

Research on multi-input self-powered piezoelectric energy harvesting interface circuit based on synchronous inversion and charge extraction

Aiming at the problem of low conversion efficiency of piezoelectric harvesting energy system, this study proposes a self-powered-synchronous inversion and charge extraction (SP-SICE) circuit on the basis of synchronous inversion charge extraction (SICE) circuit. The output voltage of the SP-SICE circuit is 63.6% higher than that of the SICE circuit through simulation comparison, and the feasibility and correctness of the circuit are verified through comparison of experiment and simulation. To address the limited energy harvesting efficiency of a single piezoelectric element, in this study, multiple SP-SICE circuits are connected in series to obtain a multi-input self-powered synchronous inversion charge extraction (MSP-SICE) piezoelectric energy harvesting circuit for a multimodal piezoelectric energy trap. Both experimental and simulation results show that the output voltage of the MSP-SICE circuit is 172% of the output voltage of the SP-SICE circuit with the same input source.

Design and Verification of an a-Igzo Tfts-Based Neuron Circuit with Threshold Voltage Variation Compensation

In this work, we implement an a-IGZO-based analog neuron circuit, which can prevent network accuracy loss due to fabrication fluctuation and bias stress during circuit operation. An a-IGZO TFT has extremely low leakage current, moderate mobility, and large-area deposition, making it well-suited for hardware-based neuromorphic systems [1, 2]. The neuron circuit collects input signals from synapses and generates an output based on an activation function. The type and uniformity of the activation functions significantly affect the classification accuracy of ANNs [3]. Due to its rapid convergence and simplicity, the rectified linear unit (ReLU) is the most common activation function [4]. However, when implementing the ReLU function in an analog neuron circuit, it can be susceptible to critical distortion caused by transistor variations, such as VTH variations. To compensate for the transistor variation and achieve a uniform activation function, the proposed neuron circuit includes two capacitors for VTH compensation and integration, respectively. As shown in Fig. 1, the capacitor for VTH compensation (CVTH) detects and stores the VTH of an output TFT which triggers the output voltage of the neuron circuit. Another capacitor (Cmem) accumulates current from synapses in the previous layer and stores membrane voltage. Through the utilization of a-IGZO TFTs, we can minimize the voltage loss in both capacitors during operation. We validate the operation of the proposed circuit through HSPICE, and the simulation results present a highly accurate activation function even under VTH variations in the output transistor.In an implementation of the neuromorphic system consisting of arrays of neurons and synapses, the connection between neurons and synapses and its loading effect in the transient waveform are crucial considerations [5]. We construct an appropriate load model emulating the synapse array RC load under the oscilloscope measurement. The load connected to the source node of the output transistor influences the gradient of the ReLU functions. We fabricate the a-IGZO-based neuron circuit and analyze its specific operations, including VTH compensation of the output transistor and integration of synapse currents. Then, we compare the simulation and measurement results and optimize the circuit operation according to the characteristics of the RC load. This result suggests that the proposed VTH compensation method can be an effective solution for achieving precise and reliable neuron circuits in large-scale neuromorphic systems. Reference [1] K. Nomura, H. Ohta, A. Takagi, T. Kamiya, M. Hirano, and H. Hosono, Nature, vol. 432, no. 7016, pp. 488–492, 2004.[2] T. Kamiya, K. Nomura and H. Hosono, Journal of Display Technology, vol. 5, no. 7, pp. 273-288, 2009.[3] A. D. Rasamoelina, F. Adjailia, and P. Sinčák, IEEE 18th World Symposium on Applied Machine Intelligence and Informatics, pp. 281-286, 2020.[4] S. Oh, Y. Shi, J. Del Valle, P. Salev, Y.Lu, Z. Huang, Y. Kalcheim, I. K. Schuller and D. Kuzum, Nature Nanotechnology, vol. 16, pp. 680-687, 2021.[5] M. Milev and M. Hristov, IEEE Transactions on Neural Networks, vol. 14, no. 5, pp. 1187-1200, 2003.Fig 1. The schematic of the proposed neuron circuit with measurement setup and synapse array RC load Figure 1

Optimization of Ultrasonic Motor Control Based on NARX Neural Network

Abstract Compared with traditional motors, ultrasonic motors have the advantages of small size and no noise and are widely used in modern technological fields. This article proposes a neural network-based ultrasonic motor control method and optimizes it to address the difficulty of controlling ultrasonic motors. Firstly, the principle and equivalent circuit of ultrasonic motors are studied, and a phase-shifted PWM method suitable for driving ultrasonic motors is proposed. Secondly, to meet the nonlinear characteristics of ultrasonic motors, a NARX neural network that can be used for nonlinear systems is adopted for optimization control. Finally, an experimental platform was built for the experiment, and the results showed that the proposed H-bridge driving circuit has a wide input voltage range. After using the NARX neural network, the output voltage of the H-bridge circuit is more stable, which can provide a stable driving voltage for the ultrasonic motor. It can provide a certain reference value for the application of ultrasonic motors in modern technology.

Design and Performance Analysis of Photovoltaic Power Generation Light Emitting Diode Device

This research focuses on an independent photovoltaic power generation system with supercapacitor energy storage as the study subject. The model is simplified, and the photovoltaic power generation light emitting diode (LED) device is designed based on the given parameters. This system selects a Boost-type step-up converter for the supercapacitor charging circuit, capable of achieving Maximum Power Point Tracking (MPPT). The supercapacitor discharge circuit employs an LM2596 series regulator to power the rated load LED (12 V, 1 W), providing good linear regulation capability. In designing other hardware components of the device, the characteristics of a photoresistor are utilized to implement an automatic load switch circuit. An efficient single-chip integrated circuit LM2575 series is used as a regulator to convert the voltage across the supercapacitor terminals to +15 V and +5 V. Considering the need to collect the output voltage of the photovoltaic cell array and the voltage across the supercapacitor terminals, a resistor divider method is used to sample these two voltages. The sampling circuit includes a resistor divider circuit and a linear optocoupler isolation circuit. An HNC-25LTS series Hall current sensor is used for current sampling to measure AC, DC, and pulse signals under electrical isolation conditions. The supercapacitor, solar photovoltaic panel, control unit, and the main circuit for supercapacitor charging and discharging have been assembled in the experiment. Connecting the charging and discharging circuit with the photovoltaic panel and LED, the system provides power to the LED during the night. Under varying light intensity and temperature conditions, the photovoltaic output voltage waveform, PWM waveform, and Boost circuit output voltage waveform remain stable when reaching the MPPT point. The output power with added MPPT control at different times is compared. The results indicate that the designed system has effectively achieved the functionality of MPPT for solar energy.

A Current-Mode Analog Front-End for Capacitive Length Transducers in Pneumatic Muscle Actuators.

This paper reports on the design, implementation, and characterization of a current-mode analog-front-end circuit for capacitance-to-voltage conversion that can be used in connection with a large variety of sensors and actuators in industrial and rehabilitation medicine applications. The circuit is composed by: (i) an oscillator generating a square wave signal whose frequency and pulse width is a function of the value of input capacitance; (ii) a passive low-pass filter that extracts the DC average component of the square wave signal; (iii) a DC-DC amplifier with variable gain ranging from 1 to 1000. The circuit has been designed in the current-mode approach by employing the second-generation current conveyor circuit, and has been implemented by using commercial discrete components as the basic blocks. The circuit allows for gain and sensitivity tunability, offset compensation and regulation, and the capability to manage various ranges of variations of the input capacitance. For a circuit gain of 1000, the measured circuit sensitivity is equal to 167.34 mV/pF with a resolution in terms of capacitance of 5 fF. The implemented circuit has been employed to measure the variations of the capacitance of a McKibben pneumatic muscle associated with the variations of its length that linearly depend on the circuit output voltage. Under step-to-step conditions of movement of the pneumatic muscle, the overall system sensitivity is equal to 70 mV/mm with a standard deviation error of the muscle length variation of 0.008 mm.

Design and development of a horizontal contact separated (HCS) test setup for measuring the performance of triboelectric nanogenerator for sustainable energy harvesting applications.

Triboelectric nanogenerators (TENGs) can play a pivotal role in harnessing non-utilized reciprocating motion and convert it into electrical energy that can later be stored in a battery or capacitor to power various Internet of Things-based smart electronic and wearable devices. Herein, we designed a cost-effective instrumental test bed focused on investigating the output performance of a horizontal contact separation mode triboelectric nanogenerator by varying the input parameters, such as applied force, motor speed, triboplate separation, and frequency of instrumental setup. The test bed mainly consists of three major parts: (i) application of force, (ii) tapping of TENG sample, and (iii) output parameters measurement. The output performance in terms of open circuit output voltage (VOC), short circuit current (ISC), and power density of polydimethylsiloxane-based TENG was monitored and optimized by varying the input parameters. A low-cost current measuring circuitry using an operational amplifier integrated circuit has been proposed with 92% accuracy. The maximum value of VOC and ISC was observed to be 254V and 31.8 µA at a motor speed of 600rpm, the distance between both the plates was 6mm, the input applied force of 40 N, and the striking frequency of 3Hz. The maximum power density of 2.1 W/m2 was obtained at an input impedance of 8 kΩ. The durability of the test bed as well as the TENG sample was also measured for 25h. The degree of uncertainty was measured for VOC, ISC, and applied force and calculated to be 1.62%, 7.45%, and 6.27%, respectively.

Application of PZT Nanofiber Flexible MEMS Technology in Human Resource Employment Pressure Management

The advancement of society has led to increasing pressure on employment in human resources. Effectively managing and alleviating this pressure has emerged as an urgent problem to be addressed. This study presents a novel pressure sensor utilizing microelectromechanical systems technology, with the aim of offering a fresh solution for managing employment pressure in the human resource sector. Firstly, this study presents the preparation and characterization of lead zirconate titanate nanofibers, followed by the development of a flexible pressure sensor using microelectromechanical systems technology specifically designed for these fibers. Finally, this study evaluates the performance of the developed pressure sensor. The results revealed that the open circuit output voltage of the sensor peaked at a pressure frequency of 110 Hz, indicating the highest level of response. In addition, it was observed that the open circuit output voltage of the fabricated sensor exhibited fluctuations within the voltage range of –3.8 V to 5.0 V, confirming its ability to precisely respond to variations in external pressure at any given moment. The features of this developed pressure gauge render it an ideal tool for real-time monitoring and evaluation of pressure, thereby possessing wideranging application prospects.

Structural optimization of laminated leaf-like piezoelectric wind energy harvesters based on topological method

In this paper, a series of leaf-like piezoelectric elements are proposed by using laminated structure of polypropylene (PP) and Polyvinylidene fluoride (PVDF) film to collect wind energy through vortex induced vibration. Topology optimization based on solid isotropic material with penalization method is employed in seeking optimal configurations of the elements. The PP and PVDF layer were set as optimization variables respectively to obtain topological layouts that would be equivalent to maximizes the overall strain energy as the objective function. Four simple shapes of piezoelectric elements with different topological configurations are manufactured and tested in wind tunnel to estimate the energy harvesting capabilities. The experimental results show that the reinforcement optimized long trapezoid model has the highest open-circuit output voltage of 4.01 V and output power of 6.125 μW at the wind speed of 12 m/s. For the optimization of piezoelectric materials, the short trapezoid model can reach the open circuit output voltage of 2.061 V and output power of 1.158 μW. It indicated that the topology optimization can indeed improve the energy harvesting efficiency of the piezoelectric element. However, this method is not universal at present, which means that the external shape of the model will influence the performance of the relevant optimization results.

Structural Performance and Evaluation of PDMS-Based Planar Membrane for Electromagnetic Vibration Energy Harvester (EM-VEH)

This paper discusses the performances of Polydimethylsiloxane (PDMS) membranes with the electromagnetic coils and magnetic arrangement as the supporting structure to generate electricity by capturing the energy from vibrating ambient source. The membrane attached to the permanent magnet moved according to the structure of the electromagnetic system. The study first designed the PDMS planar membrane to allow the vibration energy capturer to induce the coils efficiently. Membrane vibration from a loudspeaker with an operating frequency of 32 Hz was used as the vibration source. The generated energy stored in a storage circuit using a 220 µF/25 Volt capacitor, while a 1.5 Volt LED was used as a tested load in the system. The results showed that the moving membrane attached with a 10 mm diameter magnet revealed an open circuit output voltage of 500 mV on the EM coil. An experiment within a 20-minute flashing LED load test produced an output voltage of 2.2 Volts. This study would benefit the development of vibration energy harvester used to supply a low electrical power for microdevices in an isolated area.

Physical approach of a neuron model with memristive membranes.

The membrane potential of a neuron is mainly controlled by the gradient distribution of electromagnetic field and concentration diversity between intracellular and extracellular ions. Without considering the thickness and material property, the electric characteristic of cell membrane is described by a capacitive variable and output voltage in an equivalent neural circuit. The flexible property of cell membrane enables controllability of endomembrane and outer membrane, and the capacitive properties and gradient field can be approached by double membranes connected by a memristor in an equivalent neural circuit. In this work, two capacitors connected by a memristor are used to mimic the physical property of two-layer membranes, and an inductive channel is added to the neural circuit. A biophysical neuron is obtained and the energy characteristic, dynamics, self-adaption is discussed, respectively. Coherence resonance and mode selection in adaptive way are detected under noisy excitation. The distribution of average energy function is effective to predict the appearance of coherence resonance. An adaptive law is proposed to control the capacitive parameters, and the controllability of cell membrane under external stimulus can be explained in theoretical way. The neuron with memristive membranes explains the self-adaptive mechanism of parameter changes and mode transition from energy viewpoint.

Self-supportive Pd0.2Ni58Fe30O11.8 nanowires for solar-driven self-powered water/seawater splitting with large current density

Solar-driven water/seawater splitting system is a significant renewable technology for obtaining hydrogen fuel, while the drawbacks of sunlight with intermittent and unstable limit their widespread practical applications. It is an efficient and renewable way to add an energy storage module between the photovoltaic system and electrolyzer to operate a self-powered and uninterrupted electrolyzer for improving the development of solar-driven water/seawater splitting. Herein, we develop an efficient and stable trifunctional electrocatalyst of self-supportive Pd0.2Ni58Fe30O11.8 nanowires for Zn-air batteries and overall seawater splitting, which connect with photovoltaic cells to assemble solar-driven self-powered electrocatalytic water splitting system. It is noticed that the obtained self-supportive Pd0.2Ni58Fe30O11.8 nanowires show a special 3D network structure connected by nanowires with a hierarchical structure, improving the charge and mass transfer on their surface. Furthermore, the self-supportive Pd0.2Ni58Fe30O11.8 nanowires displayed low overpotentials of 77 and 233 mV to deliver current densities of 100 mA cm−2 for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) processes, which is at the top level of great prospects for industrialization. A highly efficient and stable 24-hour integral water exchange system was successfully established with a circuit output voltage of 1.88 V and constant and stable current density throughout the system. The solar-powered uninterrupted overall water-splitting systems open up exciting opportunities for fully renewable and sustainable energy applications.

A HCI-hardened self-healing operational amplifier circuit

In this paper, a self-healing operational amplifier circuit to deal with hot carrier injection (HCI) effect is proposed. An inverter-based operational amplifier is implemented. The influence degree of HCI effect to performance of the operational amplifier is studied which utilizes an equivalent circuit model of HCI effect. A monitoring circuit is proposed to monitor the degree of HCI degradation. A charge pump circuit is utilized to generate a corresponding voltage according to the result of monitoring circuit. The output voltage of the charge pump circuit is feedback to tune the substrate voltage of the operational amplifier (and the monitoring circuit) to mitigate degradation. The simulation results show that the self-healing operational amplifier can maintain the performance at low temperature and room temperature for 50 years (and high temperature for 30 year) under HCI effect. The gain of the inverter-based operational amplifier without self-healing is reduced from 45 dB to 9.6 dB after 50 years, and the gain of the self-healing operational amplifier will maintain at about 46 dB among 50 years. The influence of HCI effect on bandwidth and phase margin is less than that of temperature and process corner. The lifetime of self-healing operational amplifier circuit is >5 times longer than lifetime of based on inverter operational amplifier circuit without self-healing. In addition, the self-healing operational amplifier is robust to process corner.

Electrical, mechanical, and energy harvesting of a pyroelectric polymer nanocomposite

Flexible pyroelectric devices can convert waste heat from the human body, sun, industry, geothermal, and automobiles into renewable electricity. In this paper, carbon nanofiber (CNF) and poly(2-acrylamide-2-methyl-1-propane-sulfonic acid) and PAMPS attached poly(vinylidene fluoride) (PVDF) pyroelectric polymer nanocomposite (PyPNC) were investigated for electrical, mechanical, and pyroelectric performance with temperature variations. The ac conductivity and open circuit voltage of PyPNC increased with temperature. The PyPNC showed the enhanced AC conductivity (σac) of 89 S/cm and open circuit output voltage of 4.8 V at 120 °C due to the alignment of CNF with PAMPS beads that enhanced the volume fraction of the β-phase in PyPNC at 120 °C than that of the random orientation of CNF with PAMPS beads of PyPNC at 20 °C, 50 °C, and 150 °C.

Triboelectric nanogenerator based on electrodeposited Ag octahedral nano-assemblies

The tremendous potential of triboelectric generators-TENGs for converting mechanical energy into electrical energy places them as one of the most promising energy harvesting technologies. In this work, the fabrication of enhanced performance TENGs using Ag octahedron nano-assemblies on ITO as electrodes significantly increases the electric charge collection of the induced tribocharges. Thereby, nanostructured electrical contacts coated with Ag macroscale nano-assemblies with octahedral features were obtained by the electrodeposition technique on flexible PET/ITO substrates. Consequently, the nanostructured triboelectric generator-TENG exhibited 65 times more maximum output power, and almost 10 times more open circuit output voltage than that of a TENG with non-nanostructured contacts passing from μW to mW capabilities, which was attributed to the increment of intrinsic interface states due to a higher effective contact area in the former. Likewise, output performances of TENGs also displayed an asymptotic behavior on the output voltage as the operating frequency of the mechanical oscillations increased, which is attributed to a decrement in the internal impedance of the device with frequency. Furthermore, it is shown that the resulting electrical output power can successfully drive low power consumption electronic devices. On that account, the present research establishes a promising platform which contributes in an original way to the development of the TENGs technology.

Wireless Human Motion Detection with a Highly Sensitive Wearable Pressure Sensing Technology

AbstractWireless flexible sensing devices using inductive‐capacitive (LC) resonator‐enabled transmission technologies are attractive in the areas of human motion detection, health inspection, and implantable medical devices. However, challenges remain in LC‐based wireless sensing devices, including low device sensitivity/resolution and slow signal readout speed based on sweeping excitation frequencies. Herein, an LC resonator‐based wireless pressure sensing technology (LC‐WPS) is proposed for flexible contact pressure measurements in a real‐time manner. It includes a fully flexible passive LC pressure sensor and a signal‐reading circuit for wireless communication with the sensor and real‐time data processing. The passive sensor detects external pressure by the changes in resonant frequency. Importantly, by optimizing the design of the LC resonator in the sensor, the LC‐WPS converts the pressure‐dependent resonant frequency into circuit output voltage to a great extent, achieving a high sensitivity (1.23 × 10−2 kPa−1) and resolution (54 Pa) within a pressure range of 0–15 kPa. In addition, the LC‐WPS utilizes a single operating frequency (i.e., 13.56 MHz) instead of sweeping the operating frequencies to identify the sensor resonant frequency, featuring fast and real‐time data analysis and processing. Real‐time monitoring of human motions, such as laryngeal movement, neck bending and wrist rotation, is demonstrated, verifying the applicability of the LC‐WPS in the fields of wearable medical care and sports biomechanics.

Air-plasma discharged PVDF based binary magnetoelectric composite for simultaneously enhanced energy storage and conversion efficiency

Different nanomaterials and their modified forms are very often added into a poly(vinylidene fluoride) (PVDF) matrix in order to improve the energy storage and conversion efficiency of the system. The improvement in energy storage density caused by this secondary nanomaterial addition is most often found to be accompanied by the reduction in energy storage efficiency due to increased amounts of space charges. Here, we show that both the capacitive energy storage density and efficiency can be simultaneously improved by air-plasma discharging on the PVDF based composite system. The energy storage density and efficiency of a 5 wt. % BiFeO3 loaded PVDF film (5BF) have been found to be increased to ∼1.55 J/cm3 and ∼73%, respectively, from the values of ∼1.36 J/cm3 and 59% after air-plasma discharging. The dipole rotation caused by air-plasma discharging also helped in improving the mechanical to electrical energy conversion efficiency and magnetoelectric coupling of the studied composite system. Upon similar periodic applied stress, the pristine and air-plasma discharged 5BF film showed ∼3 and 9.6 μW/cm2 of output electrical power density with ∼13.5 and 19.2 V of open circuit output voltage, respectively. The air-plasma discharged 5BF film (5BFD) has also shown an excellent magnetoelectric coupling coefficient (α33) of ∼35 mV cm−1 Oe−1 at 1 kHz frequency of fixed AC magnetic field (∼3 Oe) and 4 kOe of DC bias field. The simultaneous improvement of all of these parameters of the studied composite system caused by air-plasma discharging proves its multifunctional applicability in a variety of real life applications.

Facile fabrication of triboelectric nanogenerators based on paper and natural rubber as low-cost bio-derived materials

Triboelectric nanogenerators (TENGs) are devices capable of effectively harvesting electrical energy from mechanical motion prevalent around us. With the goal of developing TENGs with a small environmental footprint, herein we present the potential of using rubber and paper as biological materials for constructing triboelectric nanogenerators. We explored the performance of these TENGs with various contact material combinations, electrode sizes, and operational frequencies. The optimally configured TENG achieved a maximum open circuit output voltage of over 30 V, and a short circuit current of around 3 µA. Additionally, this optimally configured TENG was capable of charging various capacitors and achieved a maximum power output density of 21 mW/m2. This work demonstrates that biologically derived materials can be used as effective, sustainable, and low-cost contact materials for the development of triboelectric nanogenerators with minimal environmental footprint.

Electronic System of Remote Optical Control of LiNbO3 Mach-Zehnder Modulator Operating Point

A system for integrated optical LiNbO3 Mach–Zehnder modulator operating point remote control and stabilization was developed. It consisted of a conventional telecom photodiode and a passive electronic circuit at the bias input of the modulator. Light from an amplitude-modulated laser was used to remotely set the output voltage of the electronic circuit at the bias input of the Mach–Zehnder modulator. Information regarding the current operating point that had been provided with feedback system implementation was taken from DC values of high frequency photodetector currents. Efficient remote control of the modulator operating point over 1 km of a single-mode optical fiber, which multiplexes an optical carrier at 1550 nm and a low frequency control signal with a peak power of 2 mW at 1310 nm, was demonstrated. The results could be of interest for antenna remoting, radio-over-fiber (RoF) technology, and other applications with broadband optical transmission from remote sources in a distributed network.

Piezoelectric Harvesting of Fluid Kinetic Energy Based on Flow-Induced Oscillation

Flow-induced oscillations widely exist in pipelines, fluid machinery, aerospace, and large-span flexible engineering structures. An inherent energy conversion mechanism can be developed for fluid kinetic energy utilization or acoustic energy harvesting. Fluid-resonant acoustic oscillation is featured by stability, easy operation, and a simple mechanical structure. Acoustic oscillation has high intensity and a mono-frequency, which is beneficial for energy harvesting. A simple cavity with appropriate structural dimensions that can induce fluid-resonant oscillations is set and combined with piezoelectric technology to generate electric power. The energy conversion mechanism is studied numerically and experimentally. The effects of flow velocity on the acoustic frequency, the pressure amplitude, and the output voltage of piezoelectric transducer are analyzed. A stable standing wave acoustic field can be generated in the cavity in a certain range of flow velocity. The results show that the higher intensity acoustic field occurs in the first acoustic mode and the first hydraulic mode and can be obtained in the range of flow velocity 27.1–51.1 m/s when the cavity length is 190 mm. A standing wave acoustic field occurs with a frequency of 490 Hz and a maximum pressure amplitude of 15.34 kPa. The open circuit output voltage can reach 0.286 V using a preliminary transducer. The device designed based on this method has a simple structure and no moving parts. It can harvest the fluid kinetic energy that widely exists in pipelines, engineering facilities, air flow forming around transportation tools, and the natural environment. Its energy output can be provided for the self-powered supply system of low-power sensor nodes in wireless sensor networks.

Analysis of Control Strategy of Three-phase Bridge Fully Controlled Rectifier Circuit Based on PID Control

At the present stage of industrial production in China, rectifier circuits still have an important position, and their safe, reliable, and efficient operation is still a necessary issue to be explored in the development of power electronics technology. Therefore, this paper will build an improved three-phase bridge rectifier circuit based on the traditional three-phase bridge fully controlled rectifier circuit, replacing the thyristor with an insulated gate bipolar transistor (IGBT) under the same basic principle, so that it can be more easily controlled by industrial intelligence. The PID controller is introduced to make the output voltage of the rectifier circuit gradually converge to a certain value by continuously correcting the calculation of the trigger angle α and the calculation of the voltage and current values. The simulation results show that the PI-controlled three-phase bridge fully controlled rectifier circuit model established in the paper makes the output of the circuit eventually stabilize under the influence of the closed-loop control, and the simulation results reach the expected value and show strong robust stability. For industrial applications, improving the safety, reliability, efficiency, and flexibility of bridge rectifier circuits is of good reference in practical engineering applications.