Abstract
Direct power control (DPC) of pulse width modulation (PWM) is often used to control the instantaneous power of rectifiers. The instantaneous power contains both grid voltage and current information, and its value is not affected by coordinate transformation. It is constant in steady state and reflects the DC control characteristics. However, the switching frequency of traditional DPC is not fixed, the DC voltage has static error, and the system fluctuates greatly. In this work, we introduce the concept of stator flux of the AC motor into the PWM rectifier. Combined with the space vector PWM (SVPWM) technology, we use the virtual flux estimation method to obtain the instantaneous power value, which saves the grid voltage sensor, eliminates the static difference of DC voltage. Furthermore, considering that the neural proportion integral differential (PID) control depends heavily on the initial weight coefficient of the network, we use chaos particle swarm optimization (CPSO) algorithm, which combines the basic PSO algorithm and chaos theory to optimize the initial weight coefficient of neural PID control. In the experiment, the results prove that the performance of the controller can be effectively improved.
Highlights
A converter device is used to transform one electrical energy form of frequency, amplitude, and phase into another electrical energy form to meet the different needs of electrical equipment and make it work in an ideal state for obtaining a device with maximum technology and economy [1]
With the advancement of fully controlled devices represented by the insulated gate bipolar transistor (IGBT), the pulse width modulation (PWM) technology has become quite advanced and its application in the rectifier circuit can form a PWM rectifier, which is known as a unit power factor converter
Aiming at the abovementioned shortcomings of BP network proportion integral differential (PID) control, we propose a chaos particle swarm optimization neural PID control strategy to adjust controller parameters. e experimental results show that the method proposed in this work can significantly enhance the control performance of PWM
Summary
A converter device is used to transform one electrical energy form of frequency, amplitude, and phase into another electrical energy form to meet the different needs of electrical equipment and make it work in an ideal state for obtaining a device with maximum technology and economy [1]. E voltage-type PWM rectifier is called a real green-converter device because of its advantages of low harmonics of grid-side current, unit power factor, two-way energy flow, and constant DC voltage control. It gradually replaces the traditional diode-controlled rectification and thyristor phase-controlled rectification and has been widely and importantly applied in active power filter (APF), unified power flow control (UPFC), Static Var Generator (SVG), superconducting magnetic energy storage (SMES), high voltage direct current (HVDC) transmission, electrical driver (ED), and new energy grid-connected power generation fields, such as wind energy and solar energy. It gradually replaces the traditional diode-controlled rectification and thyristor phase-controlled rectification and has been widely and importantly applied in active power filter (APF), unified power flow control (UPFC), Static Var Generator (SVG), superconducting magnetic energy storage (SMES), high voltage direct current (HVDC) transmission, electrical driver (ED), and new energy grid-connected power generation fields, such as wind energy and solar energy. e research on these application fields makes the PWM rectifier and its control technology be developed and improved
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