scholarly journals Stability analysis of a phase-shifted full-bridge circuit for electric vehicles based on adaptive neural fuzzy PID control

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yan Liu ◽  
Yan Huang ◽  
He Zhang ◽  
Qiang Huang
Keyword(s):  
Mathematical Model ◽  
Stability Analysis ◽  
Electric Vehicles ◽  
Pid Control ◽  
Closed Loop ◽  
Loop System ◽  
Small Signal ◽  
Fuzzy Pid ◽  
Closed Loop System ◽  
Neural Fuzzy

AbstractIn the paper, adaptive neural fuzzy (ANF) PID control is applied on the stability analysis of phase-shifted full-bridge (PSFB) zero-voltage switch (ZVS) circuit, which is used in battery chargers of electric vehicles. At first, the small-signal mathematical model of the circuit is constructed. Then, by fuzzing the parameters of PID, a closed-loop system of the small-signal mathematical model is established. Further, after training samples collected from the fuzzy PID system by adaptive neural algorithm, an ANF PID controller is utilized to build a closed-loop system. Finally, the characteristics of stability, overshoot and response speed of the mathematical model and circuit model systems are analyzed. According to the simulation results of PSFB ZVS circuit, the three control strategies have certain optimizations in overshoot and adjustment time. Among them, the optimization effect of PID control in closed-loop system is the weakest. From the results of small-signal model and circuit model, the ANF PID system has highest optimization. Experiments demonstrate that the ANF PID system gives satisfactory control performance and meets the expectation of optimization design.

scholarly journals Computation of time-delay for Delayed Network Controlled Temperature Control System

2021 ◽  
Vol 2070 (1) ◽  
pp. 012102
Author(s):  
V Venkatachalam ◽  
M Ramasubramanian ◽  
M Thirumarimurugan ◽  
D Prabhakaran
Keyword(s):  
Control System ◽  
Stability Analysis ◽  
Temperature Control ◽  
Closed Loop ◽  
Simulation Software ◽  
Loop System ◽  
Temperature Control System ◽  
Closed Loop System ◽  
The Stability ◽  
Time Invariant

Abstract This paper presents an Investigation on the stability of network controlled temperature control system having Time-Invariant feedback delays, by utilizing a direct method for TDS stability analysis. A PI controller based stability analysis for temperature control system with Time invariant feedback loop delay has been constructed in this paper. The stability problem has been formulated based on the transfer function model of the closed loop system with various time delays. For different subsets of the controller parameters, based on the stability criterion’s maximal permissible bound of the network link delay that the closed loop system can accommodate without losing the stability has been computed. The effectiveness of the obtained result was validated on a benchmark temperature control system using MATLAB simulation software.

scholarly journals MODELING AND SIMULATION OF QUAY CRANE CONTROL SYSTEM FOR PID CONTROLLER OPTIMAL PARAMETERS DETERMINATION / KRANTINĖS KRANO VALDYMO SISTEMOS KOMPIUTERINIS MODELIAVIMAS OPTIMALIOMS PID VALDIKLIO VERTĖMS NUSTATYTI

2016 ◽  
Vol 8 (5) ◽  
pp. 540-547
Author(s):  
Tomas Eglynas ◽  
Audrius Senulis ◽  
Marijonas Bogdevičius ◽  
Arūnas Andziulis ◽  
Mindaugas Jusis
Keyword(s):  
Mathematical Model ◽  
Parameter Estimation ◽  
Control System ◽  
Pid Controller ◽  
Closed Loop ◽  
Loop System ◽  
Control Algorithms ◽  
Closed Loop System ◽  
Matlab Simulink ◽  
Crane Control

The main control object of Quay crane, which is operating in seaport intermodal terminal cargo loading and unloading process, is the crane trolley. One of the main frequent problem, which occurs, is the swinging of the container. This swinging is caused not only by external forces but also by the movement of the trolley. The research results of recent years produced various types of control algorithms by the other researchers. The control algorithms are solving separate control problems of Quay crane in laboratory environment. However, there is still complex control algorithm design and the controller’s parameter estimation problems to be solved. This paper presents mathematical model of the Quay crane trolley mechanism with the suspended cargo. The mathematical model is implemented in Matlab Simulink environment and using Dormand-Prince solving method. The presented model of laboratory quay crane mathematical model is dedicated to parameter estimation of PID controller of closed loop system with the usage of S –form speed input profile. The article includes the dynamic model of the presented system, the description of closed loop system and modeling results. These results will be used as an initial information for the PID parameters estimation in real quay crane control system. The simu-lation of the model was performed using estimated values of controller. The sway influence of the cargo, the usage of the trolley speed input S-shaper and the PID controller was used to control the trolley speed. Jūriniame įvairiarūšiame terminale atliekant konteinerių krovos procesus, vienas iš krantinės kranų valdymo objektų yra vežimėlis. Viena iš problemų, su kuria susiduriama dažniausiai, yra konteinerio svyravimai, kuriuos, be išorinių veiksnių, taip pat sukelia ir vežimėlio judėji-mas. Remdamiesi paskutinių kelerių metų tyrimais, mokslininkai sukūrė įvairių valdymo algoritmų, kurie laboratorinėmis sąlygomis spren-džia atskiras krantinės kranų valdymo problemas. Tačiau kompleksinių ir efektyvių valdymo algoritmų ir jų valdymo sistemos parametrų nustatymo metodai vis dar kuriami ir tobulinami. Šiame darbe sudarytas krantinės krano vežimėlio su kabančiu kroviniu mechanizmo sis-temos matematinis modelis. Šis modelis realizuotas Matlab Simulink aplinkoje ir sprendžiamas taikant Dormand-Prince metodą. Sukurtas laboratorinio krantinės krano valdymo sistemos kompiuterinis modelis skirtas uždarosios valdymo sistemos PID valdiklio parametrams nustatyti, kai užduoties signalui taikomas S formos greičio kitimo profilis. Darbe pateiktas sistemos dinaminis modelis, aprašyta uždaroji valdymo sistema, pateikti kompiuterinio modeliavimo rezultatai, kuriuos planuojama panaudoti kaip pradinę informaciją realaus krano PID valdiklio parametrams derinti. Atlikta simuliacija naudojant nustatytas vertes ir įvertinti krovinio svyravimai taikant S formos greičio kitimo profilį kartu su PID valdikliu vežimėlio greičiui valdyti.

scholarly journals Modeling and reliability analysis of three phase z-source AC-AC converter

2017 ◽  
Vol 66 (4) ◽  
pp. 731-743
Author(s):  
Hanuman Prasad ◽  
Tanmoy Maity
Keyword(s):  
Reliability Analysis ◽  
Output Voltage ◽  
Closed Loop ◽  
Supply Voltage ◽  
Loop System ◽  
Small Signal ◽  
Closed Loop System ◽  
Voltage Variation ◽  
Three Phase ◽  
Simulation Results

Abstract This paper presents the small signal modeling using the state space averaging technique and reliability analysis of a three-phase z-source ac-ac converter. By controlling the shoot-through duty ratio, it can operate in buck-boost mode and maintain desired output voltage during voltage sag and surge condition. It has faster dynamic response and higher efficiency as compared to the traditional voltage regulator. Small signal analysis derives different control transfer functions and this leads to design a suitable controller for a closed loop system during supply voltage variation. The closed loop system of the converter with a PID controller eliminates the transients in output voltage and provides steady state regulated output. The proposed model designed in the RT-LAB and executed in a field programming gate array (FPGA)-based real-time digital simulator at a fixedtime step of 10 μs and a constant switching frequency of 10 kHz. The simulator was developed using very high speed integrated circuit hardware description language (VHDL), making it versatile and moveable. Hardware-in-the-loop (HIL) simulation results are presented to justify the MATLAB simulation results during supply voltage variation of the three phase z-source ac-ac converter. The reliability analysis has been applied to the converter to find out the failure rate of its different components.

H∞ CONTROL DESIGN OF A MULTITANK SYSTEM

2020 ◽  
Vol 70 (3) ◽  
pp. 26-33
Author(s):  
Andrey Yonchev ◽  
Martin Mladenov
Keyword(s):  
Mathematical Model ◽  
Modeling And Simulation ◽  
Closed Loop ◽  
Controller Design ◽  
Control Design ◽  
Loop System ◽  
Optimal Controller ◽  
Closed Loop System ◽  
Pump Operation ◽  
Physical Plant

This paper considers MATLAB® modeling and simulation of H∞ controller and its realization on the Multitank System. The first task is to study the physical plant of the laboratory Multitank System and to apply a given mathematical model for optimal controller design. The general objective of the derived regulator is to reach and stabilize the level in the tanks by an adjustment of the pump operation or/and valves settings. Finally, it is necessary to simulate the obtained closed-loop system and to test its workability.

scholarly journals Design of a model reference adaptive PID control algorithm for a tank system

2021 ◽  
Vol 11 (1) ◽  
pp. 300
Author(s):  
Yohan Darcy Mfoumboulou
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Closed Loop ◽  
Reference Model ◽  
Pi Controller ◽  
Loop System ◽  
Closed Loop System ◽  
Model Reference ◽  
Adaptive Pid Control ◽  
Model Reference Adaptive

This paper describes the design of an adaptive controller based on model reference adaptive PID control (MRAPIDC) to stabilize a two-tank process when large variations of parameters and external disturbances affect the closed-loop system. To achieve that, an innovative structure of the adaptive PID controller is defined, an additional PI is designed to make sure that the reference model produces stable output signals and three adaptive gains are included to guarantee stability and robustness of the closed-loop system. Then, the performance of the model reference adaptive PID controller on the behaviour of the closed-loop system is compared to a PI controller designed on MATLAB when both closed-loop systems are under various conditions. The results demonstrate that the MRAPIDC performs significantly better than the conventional PI controller.

Design and Stability Analysis of a QFT Pressure Controller of a Hydraulic Actuator Using Takagi-Sugeno Fuzzy Model

2015 ◽  
Author(s):  
Masoumeh Esfandiari ◽  
Nariman Sepehri
Keyword(s):  
Stability Analysis ◽  
Closed Loop ◽  
Nonlinear Function ◽  
Loop System ◽  
Performance Criteria ◽  
Parametric Uncertainties ◽  
Hydraulic Actuator ◽  
Closed Loop System ◽  
Takagi Sugeno ◽  
Operating Points

In this paper, a robust, fixed-gain, and linear controller is designed for the output pressure of an electro-hydraulic actuator with parametric uncertainties. Quantitative feedback theory (QFT) is selected as the design technique. The objective is to satisfy specified performance criteria in terms of tracking, stability, and disturbance rejection. To design the QFT controller, the required family of frequency responses is obtained by linearizing the hydraulic nonlinear function around operating points of interest, and constructing an equivalent linear plant set. As a result, the stability of the closed-loop system is guaranteed only around the limited number of operating points, and specified values for system parameters. To overcome this limitation, Takagi-Sugeno (T-S) fuzzy modeling is employed. This way the nonlinear stability of the closed-loop system is investigated and ensured for a continuous range of parametric uncertainties and region of operating points. Having successful results from stability analysis, the QFT controller is applied on the experimental set-up. The experimental results are in accordance with the specified criteria.

scholarly journals Perancangan Sistem Kontrol Kecepatan Motor DC Dengan PID Labview 2010

2019 ◽  
Vol 9 (02) ◽  
pp. 23-32
Author(s):  
Fauzy Fauzy ◽  
Sugiatmo Kasmungin
Keyword(s):  
Control System ◽  
Steady State ◽  
Pid Control ◽  
Closed Loop ◽  
Speed Control ◽  
Dc Motor ◽  
Loop System ◽  
Motor Speed ◽  
Closed Loop System ◽  
The Stability

The stability of the system is the main objective for Control System Design criteria. PID control with closed loop system is the one of control which can improve the stability of the system from disturbance effect. In this study, DC Motor Speed Control is designed with PID LabVIEW 2010 Software and Proximity Sensor as a closed loop feedback. The system allows the operator to control speed of DC Motor from LabVIEW front panel which automatically stabilized when load �which usually slow down the speed of DC Motor, applied. PID LabVIEW 2010 generates voltage output 0-5Vdc and drives DC Motor through analog output channel from NIDAQ 600, which received by Non-Inverting Amplifier and amplified to 0-12Vdc output. PID Control with Closed Loop system may dampen the speed response second order of DC Motor to have value of overshoot number � 0 with steady state error of �2%. The system feedback can stabilize this condition from outside interference. The result of this speed control system has success criteria of overshoot (Mp) = 0 and Error Steady State (Ess) = 0.82%.

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