HARDWARE DESIGN AND IMPLEMENTATION OF GENETIC ALGORITHM FOR THE CONTROLLER OF A DC TO DC BOOST CONVERTER

2016 ◽  
Vol 78 (5-7) ◽  
Author(s):  
Roderick Yap ◽  
Kevin Lam ◽  
Rovi Bugayong ◽  
Edward Hernandez ◽  
Joey De Guzman
Keyword(s):  
Genetic Algorithm ◽  
Control Method ◽  
Boost Converter ◽  
Settling Time ◽  
Pid Controllers ◽  
Test Results ◽  
Boost Converters ◽  
Kd Values ◽  
Field Programmable ◽  
Fast Settling

Controllers for DC to DC Boost Converters have evolved from simple control method to those that involve the use of fuzzy logic controllers.   In many implementations, Proportional Integral Derivative (PID) controllers are commonly employed.  In this paper, a genetic algorithm for tuning the PID controller of a DC to DC Boost Converter is hardware modelled and implemented on a Field Programmable Gate Array (FPGA) using Verilog as tool for the design entry.  The goal of embedding genetic algorithm into the controller is to search for the best PID parameters that will yield fast settling time of the booster at an output of 6V.  The hardware implementation allows the controller to tune itself by searching for the best Kp, Ki and Kd values that will give the best settling time.  Significantly, this eliminates the need for a separate computer to do the searching routine.   Test results of the circuit implemented yielded promising results.   When compared to previous researches, the genetic algorithm employed yielded good PID parameters that resulted to a settling time as low as less than 60msec.

Robust structured controller synthesis for interleaved boost converters using an H∞ control method

2021 ◽  
pp. 014233122110195
Author(s):  
Rıdvan Keskin ◽  
Ibrahim Aliskan ◽  
Ersin Daş
Keyword(s):  
Output Voltage ◽  
Control Method ◽  
Controller Design ◽  
Model Simulation ◽  
Voltage Regulation ◽  
Boost Converter ◽  
Controller Synthesis ◽  
Boost Converters ◽  
Type Iii ◽  
Interleaved Boost Converter

The regulation of output voltage and equivalent distribution of phase currents of multi-phase converters which have non-minimum phase characteristic are still challenges, especially in the presence of uncertainties in real parameters, duty cycle, input voltage, and load disturbances. However, in classical third-order integral-lead (Type-III) controller design methodologies, the controller is synthesized considering only the nominal performance conditions. This paper proposes a structured [Formula: see text] synthesis framework based on an optimization methodology to the design of a robust Type-III controller for interleaved boost converters. The structured [Formula: see text] control approach is adapted for optimization of Type-III feedback and feedforward controllers in two-degree-of-freedom (2-DOF) control system configuration. The robust stability of the closed-loop interleaved boost converter system against model uncertainties is ensured via the classical [Formula: see text]-analysis technique. Numerical comparisons are made among the classical, i.e. unstructured or full order, [Formula: see text]-based controller design method, a dual-loop PI controller, and proposed 1-DOF and 2-DOF structured controller synthesis approaches on an interleaved boost converter model. Simulation results verify the effectiveness and advantages of the proposed approach from the viewpoint of the output voltage regulation under different disturbance points.

Composite Nonlinear Feedback for Vehicle Active Front Steering

2014 ◽  
Vol 663 ◽  
pp. 127-134 ◽  
Author(s):  
M.H. Che Hasan ◽  
Y.M. Sam ◽  
Ke Mao Peng ◽  
Muhamad Khairi Aripin ◽  
Muhamad Fahezal Ismail
Keyword(s):  
Control Method ◽  
Actuator Saturation ◽  
External Disturbance ◽  
Reference Signal ◽  
Stability Control ◽  
Nonlinear Feedback ◽  
Composite Nonlinear Feedback ◽  
Active Front Steering ◽  
Yaw Stability ◽  
Fast Settling

In this paper, Composite Nonlinear Feedback (CNF) is applied on Active Front Steering (AFS) system for vehicle yaw stability control in order to have an excellent transient response performance. The control method, which has linear and nonlinear parts that work concurrently capable to track reference signal very fast with minimum overshoot, fast settling time, and without exceed nature of actuator saturation limit. Beside, modelling of 7 degree of freedom for typical passenger car with magic formula to represent tyre nonlinearity behaviour is also presented to simulate controlled vehicle as close as possible with a real situation. An extensive computer simulation is performed with considering a various profile of cornering manoeuvres with external disturbance to evaluate its performance in different scenarios. The performance of the proposed controller is compared to conventional Proportional Integration and Derivative (PID) for effectiveness analysis.

Comparison of fractional and integer PID controllers tuned by genetic algorithm

2016 ◽  
Author(s):  
Felipe A. de Castro ◽  
Nemerson D. Bernardes ◽  
Marco A. de S. L. Cuadros ◽  
Gustavo M. de Almeida
Keyword(s):  
Genetic Algorithm ◽  
Pid Controllers

An efficient intelligent decision method for bionic motion unmanned system

2021 ◽  
pp. 095965182110655
Author(s):  
Haipeng Chen ◽  
Wenxing Fu ◽  
Yuze Feng ◽  
Jia Long ◽  
Kang Chen
Keyword(s):  
Genetic Algorithm ◽  
Evolutionary Algorithms ◽  
Path Planning ◽  
Motion Control ◽  
Control Method ◽  
Improved Genetic Algorithm ◽  
Decision Method ◽  
Multiple Traveling Salesman Problem ◽  
Intelligent Decision ◽  
Unmanned System

In this article, we propose an efficient intelligent decision method for a bionic motion unmanned system to simulate the formation change during the hunting process of the wolves. Path planning is a burning research focus for the unmanned system to realize the formation change, and some traditional techniques are designed to solve it. The intelligent decision based on evolutionary algorithms is one of the famous path planning approaches. However, time consumption remains to be a problem in the intelligent decisions of the unmanned system. To solve the time-consuming problem, we simplify the multi-objective optimization as the single-objective optimization, which was regarded as a multiple traveling salesman problem in the traditional methods. Besides, we present the improved genetic algorithm instead of evolutionary algorithms to solve the intelligent decision problem. As the unmanned system’s intelligent decision is solved, the bionic motion control, especially collision avoidance when the system moves, should be guaranteed. Accordingly, we project a novel unmanned system bionic motion control of complex nonlinear dynamics. The control method can effectively avoid collision in the process of system motion. Simulation results show that the proposed simplification, improved genetic algorithm, and bionic motion control method are stable and effective.

Air Suspension Optimal Control Based on the Genetic Algorithm

2011 ◽  
Vol 467-469 ◽  
pp. 1066-1071
Author(s):  
Zhong Xin Li ◽  
Ji Wei Guo ◽  
Ming Hong Gao ◽  
Hong Jiang
Keyword(s):  
Genetic Algorithm ◽  
Optimal Control ◽  
Dynamic Model ◽  
Control Method ◽  
Control Model ◽  
Weight Matrix ◽  
Object A ◽  
Full Vehicle ◽  
Air Suspension ◽  
Optimal Control Method

Taking the full-vehicle eight-freedom dynamic model of a type of bus as the simulation object , a new optimal control method is introduced. This method is based on the genetic algorithm, and the full-vehicle optimal control model is built in the MatLab. The weight matrix of the optimal control is optimized through the genetic algorithm; then the outcome is compared with the artificially-set optimal control simulation, which shows that the genetic-algorithm based optimal control presents better performance, thereby creating a smoother ride and improving the steering stability of the vehicle.

scholarly journals Design and development of PWM switching for 5-level multiphase interleaved DC/DC boost converter using FPGA

2020 ◽  
Vol 17 (1) ◽  
pp. 131
Author(s):  
A. F. H. A. Gani ◽  
A. A. Bakar ◽  
A. Ponniran ◽  
M. Hussainar ◽  
M. A. N. Amran
Keyword(s):  
Pulse Width Modulation ◽  
Technological Development ◽  
Boost Converter ◽  
Switching Frequency ◽  
Switching Scheme ◽  
Digital Controllers ◽  
Electric Drives ◽  
Field Programmable ◽  
Increasing Demand ◽  
Current Ripple

<p>The continuously increasing demand for control on electric power equipment has led to the rapid technological development in various applications such as renewable energy, electric drives, and communication. Pulse Width Modulation (PWM) switching is an important technique to control the output voltage. PWM signals can either be generated using digital controller or analog controller. Digital controllers are widely used to generate PWM signals due to their reliability in solving complex algorithms within short amount of time. Multiphase boost converter is capable to overcome high input current ripple, current stress and semiconductor losses in conventional boost converter. This paper proposes a PWM switching scheme for multiphase interleaved converter using Field Programmable Gate Array (FPGA). The proposed switching scheme uses PWM switching technique that is implemented by programming Altera DE2-70 board. The duty cycle can be easily adjusted using assigned switches on the Altera board. For validation, switching frequency was set to 100 kHz, and then switching signal was observed using oscilloscope.</p>

scholarly journals High gain boost converter with modified voltage multiplier for stand alone PV system

2019 ◽  
Vol 14 (1) ◽  
pp. 185
Author(s):  
Getzial Anbu Mani ◽  
A. K. Parvathy
Keyword(s):  
High Efficiency ◽  
Input Voltage ◽  
High Gain ◽  
Boost Converter ◽  
Pv System ◽  
Boost Converters ◽  
Low Input ◽  
Voltage Multiplier ◽  
Photo Voltaic ◽  
Current Ripple

<p>Boost converters of high gain are used for photo voltaic systems to obtain high efficiency. These high gain Boost converters gives increased output voltage for a low input produces high outputs for low input voltage. The High gain boost converters have the following merits. Conduction losses input current ripple and stress across the switches is reduced while the efficiency is increases. The high gain of the converters with the above said merits is obtained by changing the duty cycle of switches accordingly .In this paper a boost converter working with interleaved concept along with a additional Nstage voltage Multiplier has been carried out by simulation using MATLAB/ simulink and the mathematical modeling of various parameters is also done.</p>

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