Extremum optimized self-tuning digital pid control method for megawatt inverter system

Abstract

The invention discloses an extreme value optimization self-adjusting digital PID control method used for a megawatt inverter system. According to the method, a model input signal and a system error signal of the megawatt inverter system and an adjustable parameter initial value serve as digital PID controller input. The control parameter Kp, the control parameter Ki and the control parameter Kd of a PID controller are encoded into a binary sequence, iterative optimization is carried out on the binary sequence through a binary encoding extreme value optimization solver until an end condition preset by a project planner is met, so that an optimal binary sequence is automatically adjusted, converted into a PID controller optimum control parameter through the binary encoding and then transmitted to the megawatt inverter system, and real-time on-time optimal control is achieved. Compared with an engineering adjusting method based on an empirical rule, the extreme value optimization self-adjusting digital PID control method has the advantages that the PID controller parameter can be adjusted on line and optimized in real time. Compared with a genetic algorithm and other intelligent optimizing methods, the extreme value optimization self-adjusting digital PID control method is less in number of adjustable parameters, simpler in implementation, and higher in optimizing efficiency.

Description

technical field [0001] The invention belongs to the intelligent control technology of a power electronic system, and in particular relates to an extreme value optimization self-tuning digital PID control method for a megawatt inverter system. Background technique [0002] Inversion is one of the most basic energy conversion methods in the field of power electronics, and the system that completes this function is called an inverter system. Modern inverter technology is a science that studies the theory and practical design of modern inverter systems. It is a practical technology based on many disciplines such as semiconductor device technology, modern control technology, and modern power electronics technology. The inverter system has been widely used in important national industries such as power systems, new energy sources, ship shore power, fire emergency power supply, and uninterruptible power supply. Generally speaking, the low-power inverter technology is very mature, ...

AI Technical Summary

Problems solved by technology

However, at present, the industry mainly adopts the engineering setting method based on empirical rules, and it is usually difficult to set the PID controller parameters to achieve the best operating performance of the megawatt-level inverter system.

In addition, once the controlled object or operating conditions change, the existing engineering setting method based on empirical rules is difficult to adjust the PID control parameters online in real time, and cannot guarantee the safe and reliable operation of the megawatt inverter system

Even Mishra, Tiwari, Sharma et al [Novel optimization technique for PI controller parameters of ac / dc PWM converter using genetic algorithms, International Journal of Power Electronics and Drive System, 2012,2(2):151~159] recently proposed based on The PI parameter setting optimization method of PWM inverter based on genetic algorithm still has the disadvantages of too many adjustable parameters in genetic algorithm, complex design and implementation, and low optimization efficiency.

Images