Self-tuning PID Control Method Research Articles

Neural Network based Identification and Self-tuning PID Control for Spacecraft Thermal Vacuum Tests

This paper deals with the high-performance temperature control issues of spacecraft thermal vacuum tests. More precisely, the novel model identification and self-tuning PID control method is developed based on neural network. The corresponding controller design details are provided and the experiment results are given for verifying considerable advantages with our proposed control strategy in the end.

Optimization Design of Centrifugal Pump Flow Control System Based on Adaptive Control

In this paper, in order to improve the control characteristics of the centrifugal pump flow control system, a mathematical model of the centrifugal pump flow control system was established based on an analysis of the basic structures, such as the frequency converter, motor, and centrifugal pump. Based on the adaptive control theory, the recursive least squares algorithm with a forgetting factor was used to estimate the real-time parameters of the centrifugal pump control system, and the self-tuning PID control method was used to optimize the mathematical model of the centrifugal pump flow control system. The simulation results showed that the adjustment time of the optimized system was shortened by 16.58%, and the maximum overshoot was reduced by 83.90%, which improved the rapidity and stability of the transient response of the system. This showed that adaptive control had a significant effect on improving the robustness and anti-interference ability of the centrifugal pump control system. In order to further verify the accuracy of the self-tuning PID control method, a flow adaptive control system test platform was built. The test results showed that under the conditions of constant frequency and variable frequency, the actual flow rate of the centrifugal pump was always kept near the set flow rate, the error was small, and it had better real-time followability. The research results showed that adaptive control could revise the parameters in real-time according to changes to the centrifugal pump control system, which improved the stability and robustness of the system. Therefore, adaptive PID control could effectively improve the adaptability of centrifugal pumps to various complex working conditions and improve the working efficiency of centrifugal pumps.

Analysis of Thermal Characteristics of Airborne Integrated Environmental Control System

Taking the simplified airborne integrated thermal management system as the research object, the change characteristics of the system under different control modes are analyzed, which provides a theoretical basis for the study of system control schemes. Using a combination of mathematical models and computer models to establish an integrated airborne thermal management system model with fuel as the main heat sink, air/fuel heat exchanger, fuel/PAO heat exchanger and other main components, and A fuzzy self-tuning PID control method is proposed to analyze system characteristics such as fuel/PAO heat exchanger and electronic equipment thermal changes. The results show that compared to open-loop control under thermal extreme conditions, the fuzzy self-tuning PID control mode can not only effectively control a series of equipment such as fuel pumps to maintain proper speed, but also ensure the electronic cabin and fuel/PAO heat exchanger the outlet temperature is kept within a predetermined range to meet the design requirements of the onboard thermal management system.

Design of the control law of longitudinal attitude for Tail-sitter UAV

The longitudinal attitude control of a type of Tail-sitter UAV is studied in this paper. In order to solve the singular problem of pitch angle during the tilting process of fuselage, the double Euler angle algorithm is used for modeling. Fuzzy self-tuning PID control method and L1 adaptive control method are used to design the longitudinal attitude controller respectively to counteract the susceptibility to disturbance during the flight, especially in tilting process. The numerical simulation is carried out through MATLAB, and the simulation results show that: This controller can overcome the model parameter changes and other uncertain disturbances to the Tail-sitter UAV during the flight

A Self-Tuning PID Control Method for Multi-Input-Multi-Output Nonlinear Systems

DOI: 10.26650/electrica.2018.79181 In this study, an artificial neural network (ANN) model-based self-tuning PID control method is proposed for the control of multi-input-multi-output (MIMO) nonlinear systems. A single layer, feed-forward ANN structure is trained via input and output data randomly collected from the system and classified as learning, test, and validation data to obtain the system model. The obtained model is utilized in an adaptive PID control scheme in conjunction with two different optimization methods for PID tuning and control. Using this scheme, PID parameters can be tuned to their optimum values and the system can be controlled simultaneously. The performance of the proposed method is demonstrated via experimental studies.

Fuzzy Self-Tuning PID Control Method Based on Multi Intelligent Particle Swarm Optimization Algorithm

Fuzzy Self-Tuning PID Control Method Based on Multi Intelligent Particle Swarm Optimization Algorithm

Fuzzy Self-Tuning PID Control Method Based on Multi-Agent Particle Swarm Algorithm

Fuzzy Self-Tuning PID Control Method Based on Multi-Agent Particle Swarm Algorithm

The Environment Monitoring System of Refuge Cabin and its Simulation Based on Fuzzy-PID Algorithm

In order to improve people's chances of survival, Multifunctional fire refuge compartment, a kind of emergency equipment, was invented when a high-rise building breaking out of fire. One key component of it is the environmental monitoring system of refuge cabin. Meanwhile, to ensure that the refuge chamber system can respond quickly and be stable operation, it takes an kind of intelligent control technology which combined with traditional PID control(Proportion、Integration、Differentiation)and fuzzy control technology, namely fuzzy PID control to regulate. In this paper, combined with the fuzzy control technology, we discuss the fuzzy self-tuning PID control method of refuge cabin environment monitoring system. Try to make digital processing of control system by MCU(Micro Control Unit), we use the Simulink and Fuzzy toolbox in MATLAB to simulate the refuge compartment cooling system which using the fuzzy PID control method and compare with the conventional PID control. The result shows that Fuzzy-PID control method reduces the overshoot of the system, shortens the settling time, decreases steady-state deviation, improves the static and dynamic characteristics of the system effectively. Finally, it can enhance the reliability and adaptability of the system.

Study on MPPT Control of the Single-Stage Grid-Connected Photovoltaic System

The fuzzy control can react to the environment change quickly and keep the photovoltaic system work on its maximum power point all the time. However, the limitation in the fuzzy control itself and the characteristic of self-optimization lead to serious concussion of the system around the maximum power point. Whereas the PID control method is effective in the elimination of concussion and is easy to be realized. To tackle the problem, the fuzzy parameter self-tuning PID control method is adopted in the paper to achieve the MPPT control of PV system. The method can effectively eliminate the concussion around the maximum power point and improve the stability of the system; and achieve grid-connected operation with a high power factor in combination with the harmonic elimination PWM control of inverter. Simulation results show that the scheme has merits of simple structure, high power factor and reliable operation, etc. and is worthwhile to be popularized.