Design and Simulation of Booster's Controller Based on Matlab

2014 ◽  
Vol 672-674 ◽  
pp. 888-893
Author(s):  
Xiao Long Xiao ◽  
Xiao Hua Ding ◽  
Hao Zhang
Keyword(s):  
Circuit Simulation ◽  
Dynamic Performance ◽  
Phase System ◽  
Pi Regulator ◽  
Small Signal Analysis ◽  
System A ◽  
Working Principle ◽  
Type Switch ◽  
And Control ◽  
The Mathematical Model

According to the working principle of the Boost type switch converter, the small signal analysis method was used to model the Boost circuit. Its transfer function exists right half plane zero. The system is a non-minimum phase system. A PI regulator was designed. The boost circuit simulation model was built through matlab. The simulation result has a good static and dynamic performance. It verifies the rationality of the mathematical model and control strategy. It can conduct the actual circuit design.

Modeling and Simulation of Educational Linear Motion Module

2009 ◽  
Author(s):  
Dian-sheng Chen ◽  
Yu-xin Chen ◽  
Tian-miao Wang
Keyword(s):  
Mathematical Model ◽  
Dynamic Performance ◽  
Linear Motion ◽  
Motion Model ◽  
Load Case ◽  
Know How ◽  
Working Principle ◽  
And Control ◽  
The Mathematical Model ◽  
Control Accuracy

In order to let the student understand the linear motion module’ principles and know how to improve the dynamic performance and control accuracy, a mathematical model is established based on the analysis of the composition and working principle of linear motion module. On the load and unload conditions, we simulate and analyze the system respectively. In the load case, PID parameters are obtained after the PID regulation. The correction of establishing the mathematical model and simulating the system are verified so that the linear motion model’ precision is effectively enhanced.

Development of a Ring Permeability Test System

2010 ◽  
Vol 136 ◽  
pp. 153-157
Author(s):  
Yu Hong Du ◽  
Xiu Ming Jiang ◽  
Xiu Ren Li
Keyword(s):  
Control System ◽  
Control Method ◽  
Dynamic Performance ◽  
Experimental Tests ◽  
Measuring Method ◽  
Test System ◽  
Fluid Theory ◽  
And Control ◽  
Relationship Of ◽  
The Mathematical Model

To solve the problem of detecting the permeability of the textile machinery, a dedicated test system has been developed based on the pressure difference measuring method. The established system has a number of advantages including simple, fast and accurate. The mathematical model of influencing factors for permeability is derived based on fluid theory, and the relationship of these parameters is achieved. Further investigations are directed towards the inherent characteristics of the control system. Based on the established model and measuring features, an information fusion based clustering control system is proposed to implement the measurement. Using this mechanical structure, a PID control system and a cluster control system have been developed. Simulation and experimental tests are carried out to examine the performance of the established system. It is noted that the clustering method has a high dynamic performance and control accuracy. This cluster fusion control method has been successfully utilized in powder metallurgy collar permeability testing.

Dynamic Modeling and Control Techniques for a Quadrotor

2019 ◽  
pp. 20-66
Author(s):  
Heba Elkholy ◽  
Maki K. Habib
Keyword(s):  
Pid Controller ◽  
Degrees Of Freedom ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Simulation Environment ◽  
Modeling And Control ◽  
Controller Gain ◽  
Aerial Vehicle ◽  
And Control ◽  
The Mathematical Model

This chapter presents the detailed dynamic model of a Vertical Take-Off and Landing (VTOL) type Unmanned Aerial Vehicle (UAV) known as the quadrotor. The mathematical model is derived based on Newton Euler formalism. This is followed by the development of a simulation environment on which the developed model is verified. Four control algorithms are developed to control the quadrotor's degrees of freedom: a linear PID controller, Gain Scheduling-based PID controller, nonlinear Sliding Mode, and Backstepping controllers. The performances of these controllers are compared through the developed simulation environment in terms of their dynamic performance, stability, and the effect of possible disturbances.

Simulation and Fuzzy Control Study on the CVT Metal V Belt Axial Misalignment of Car

2010 ◽  
Vol 426-427 ◽  
pp. 97-101 ◽  
Author(s):  
Fa Ye Zang
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Stable State ◽  
Hydraulic Control ◽  
Pid Algorithm ◽  
System A ◽  
Working Situation ◽  
The Mathematical Model ◽  
Hydraulic Control System

Based on the analysis of the belt misalignment of the metal V belt CVT, the reason of the belt misalignment has been discussed. In order to control the misalignment, an electro-hydraulic control system has been designed. After deeply analyzing the structure and principle of the electro-hydraulic control system, the mathematical model of the electro-hydraulic control system has been established. Being varieties of the working situation of car and the non-linearity of the electro-hydraulic control system, A Fuzzy PID algorithm has been designed. Then the simulation of the belt misalignment has been conducted, and the simulation results show that the electro-hydraulic control system and the fuzzy controller could not only control ratio, which had a higher accuracy of the stable state and a stronger robust of the driving condition, but also eliminated the belt misalignment, improved the dynamic performance of the metal V belt CVT.

Dynamic Modeling and Control Techniques for a Quadrotor

2015 ◽  
pp. 408-454
Author(s):  
Heba Elkholy ◽  
Maki K. Habib
Keyword(s):  
Pid Controller ◽  
Degrees Of Freedom ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Simulation Environment ◽  
Modeling And Control ◽  
Controller Gain ◽  
Aerial Vehicle ◽  
And Control ◽  
The Mathematical Model

This chapter presents the detailed dynamic model of a Vertical Take-Off and Landing (VTOL) type Unmanned Aerial Vehicle (UAV) known as the quadrotor. The mathematical model is derived based on Newton Euler formalism. This is followed by the development of a simulation environment on which the developed model is verified. Four control algorithms are developed to control the quadrotor's degrees of freedom: a linear PID controller, Gain Scheduling-based PID controller, nonlinear Sliding Mode, and Backstepping controllers. The performances of these controllers are compared through the developed simulation environment in terms of their dynamic performance, stability, and the effect of possible disturbances.

Modelling and Control of Fish Feeder System

2013 ◽  
Vol 465-466 ◽  
pp. 1314-1318 ◽  
Author(s):  
Badrul Aisham Md Zain ◽  
Muhammad Hazwan Md Jamal ◽  
Salihatun Md Salleh
Keyword(s):  
Pid Controller ◽  
Food Delivery ◽  
Fish Feeding ◽  
System A ◽  
Best Value ◽  
Food And Feeding ◽  
Trial And Error Method ◽  
And Control ◽  
The Mathematical Model ◽  
Aquaculture Development

Food and feeding become a major challenge in aquaculture development. The way adjustment of food delivery to pond is an important role to get the maximum return or profit to aquaculture entrepreneurs. This project presents an investigation about the fish feeding system, a system device to feed fish at predetermined amounts of food and time. Moreover, the system is designed with a computer monitored system in order to manage and control the system with simulation. This project is a simulation investigation into the development of PID controller using Matlab/Simulink software. The simulation development of the PID controller with the mathematical model of fish feeder system is done using trial and error method. The PID parameter is to be tested with a DC motor. As a result, the best value of PID controller is achieved when Kp = 100, Ki = 0.05 and Kd = 25.

Small-Signal Equivalent Circuit Modeling and Controller Design of DC/DC Converter Based on Matlab

2014 ◽  
Vol 1070-1072 ◽  
pp. 1586-1591
Author(s):  
Xiao Long Xiao ◽  
Xiao Jun Lu ◽  
Jian Wei Yi ◽  
Xiao Hua Ding
Keyword(s):  
Mathematical Model ◽  
Control Strategy ◽  
Model Building ◽  
Controller Design ◽  
Dynamic Performance ◽  
Feedback System ◽  
Small Signal ◽  
Loop Feedback ◽  
And Control ◽  
The Mathematical Model

The model-building of DC/DC converter is the key to design the control of system. It is important to study DC/DC converter stability and dynamic performance. A small-signal model of buck/boost circuit was built by average state-space. By analyzing the transfer function of buck/boost circuit, a voltage closed-loop feedback system was designed. Building system of simulation circuit in the Matlab, the result of simulation shows the system has a good static and dynamic performance. It verifies the rationality of the mathematical model and control strategy. It verifies the rationality of the mathematical model and control strategy.

scholarly journals Nonlinear Dynamic Analysis of Direct Acting Tensioner of an Offshore Floating Platform

2020 ◽  
Vol 5 (3) ◽  
pp. 182-189
Author(s):  
Zong-Yu Chang ◽  
Xin Duan ◽  
Zhong-Qiang Zheng ◽  
Lin Zhao ◽  
Yu-Hu Yang ◽  
...  
Keyword(s):  
Nonlinear Dynamic ◽  
Integration Method ◽  
Dynamic Performance ◽  
Nonlinear Dynamic Analysis ◽  
Dynamic Responses ◽  
Offshore Platforms ◽  
Floating Platform ◽  
System A ◽  
Working Principle ◽  
Direct Acting

The offshore floating platform is the key equipment in offshore and gas development. The significant heave motions occur with the excitation of wind and waves, which will affect the safety of a riser system. A direct acting tensioner can be applied to reduce the effects on the riser system and be widely used on different kinds of offshore platforms. Based on the analysis of the structure and working principle of a direct acting tensioner (DAT), the nonlinear dynamic performance of DAT riser system was studied. Additionally, the dynamic model of the DAT riser system is established and the dynamic response was gained by the numerical integration method. The differences of dynamic responses were compared between a linear model and a nonlinear model. The response on different side of the equilibrium position is asymmetric because of the nonlinear stiffness of DAT. The results can be helpful for the design of DAT.

scholarly journals Wind Energy Dynamics of the Separately Excited Induction Generator

2019 ◽  
Vol 2 (1) ◽  
pp. p22 ◽  
Author(s):  
Oti S. Ejiofor ◽  
Eya U. Candidus ◽  
Madueme C. Victory ◽  
Eze C. Ugochukwu
Keyword(s):  
Wind Turbine ◽  
Dynamic Performance ◽  
Dynamic Modelling ◽  
Induction Generator ◽  
Potential Threat ◽  
Velocity Increase ◽  
Function Block ◽  
Energy Dynamics ◽  
System A ◽  
And Control

This paper covers the analysis, dynamic modelling and control of an isolated self-excited induction generator (SEIG) driven by a wind turbine. The proposed dynamic model consists of induction generator, self-excitation capacitance and load model which are expressed in stationary d-q reference frame. The dynamic performance of SEIG is investigated under no load and on load. To predict the performance of the system, a MATLAB based simulation study using matlab embedded function block was carried out. Simulations from the variations of the speed and load display the dynamic behavior of the generator. A constant capacitor value of 100 micro-farads was used in this work. The simulation results obtained illustrate the changes in the voltage, currents, torque and magnetizing inductance of the generator. The wind velocity increase led to the increase in mechanical input from the wind turbine. This results in the increased rotor speed leading also to increased stator phase voltage. The obtained simulations also show that the output voltage of the induction generator depends greatly on its shaft speed and load; this poses a potential threat as it is capable of causing a significant variation in the power consumption in the load of the machine.

Modeling human-like longitudinal driver model for intelligent vehicles based on reinforcement learning

2021 ◽  
pp. 095440702098357
Author(s):  
Ju Xie ◽  
Xing Xu ◽  
Feng Wang ◽  
Haobin Jiang
Keyword(s):  
Reinforcement Learning ◽  
Comprehensive Evaluation ◽  
Path Following ◽  
Intelligent Vehicles ◽  
Driver Model ◽  
Control Center ◽  
Training Performance ◽  
Learning Agents ◽  
System A ◽  
And Control

The driver model is the decision-making and control center of intelligent vehicle. In order to improve the adaptability of intelligent vehicles under complex driving conditions, and simulate the manipulation characteristics of the skilled driver under the driver-vehicle-road closed-loop system, a kind of human-like longitudinal driver model for intelligent vehicles based on reinforcement learning is proposed. This paper builds the lateral driver model for intelligent vehicles based on optimal preview control theory. Then, the control correction link of longitudinal driver model is established to calculate the throttle opening or brake pedal travel for the desired longitudinal acceleration. Moreover, the reinforcement learning agents for longitudinal driver model is parallel trained by comprehensive evaluation index and skilled driver data. Lastly, training performance and scenarios verification between the simulation experiment and the real car test are performed to verify the effectiveness of the reinforcement learning based longitudinal driver model. The results show that the proposed human-like longitudinal driver model based on reinforcement learning can help intelligent vehicles effectively imitate the speed control behavior of the skilled driver in various path-following scenarios.

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