Biological Algorithm Based PID Tuning for Speed Control of DC Motor PDF Download
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Author: Monu Tyagi
Publisher:
ISBN: 9783659146053
Category :
Languages : en
Pages : 0
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Book Description
Author: Monu Tyagi
Publisher:
ISBN: 9783659146053
Category :
Languages : en
Pages : 0
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Book Description
Author: Muhammet Ünal
Publisher: Springer
ISBN: 3642329004
Category : Technology & Engineering
Languages : en
Pages : 96
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Book Description
Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to process system control.
Author: Wan Robaah W Ahmad
Publisher:
ISBN:
Category : PID controllers
Languages : en
Pages : 87
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Book Description
This project is about controlling the speed of DC servo motor by using Proportional-Integral-Derivative (PID) algorithm then implemented on Peripheral Interface Circuit (PIC) microcontroller. The main objective of this project is to control the speed of DC servo motor at the demanded speed or to drive the motor at that speed. The speed of a DC motor usually is directly proportional to the supply voltage. So, if we reduce the supply voltage from 12 Volts to 6 Volts, the motor will run at half the speed. It could be achieved by simply adjusting the voltage sent to the motor, but this is quite inefficient to do. So, A PID controller becomes the best way to overcome this problem. PID attempts to correct the error between a measured process variable and a desired setpoint by calculating and then outputting a corrective action that can adjust the process accordingly. In this project, the PID algorithm that is added to the system becomes a closed loop system. A simulation using MATLAB software is implemented to tune PID algorithm by changing the value of Proportional gain, Kp, Integral gain, Ki and Derivative gain, Kd to get a speed of the motor which is less overshoot and increase settling time. Then, a PIC microcontroller is programmed by adding the value of tuned PID algorithm to control the speed of DC servo motor. At the end of the project, the speed of the DC servo motor should be maintain even the supply voltage is varied.
Author: Marialena Vagia
Publisher: BoD – Books on Demand
ISBN: 9535104055
Category : Technology & Engineering
Languages : en
Pages : 302
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Book Description
First placed on the market in 1939, the design of PID controllers remains a challenging area that requires new approaches to solving PID tuning problems while capturing the effects of noise and process variations. The augmented complexity of modern applications concerning areas like automotive applications, microsystems technology, pneumatic mechanisms, dc motors, industry processes, require controllers that incorporate into their design important characteristics of the systems. These characteristics include but are not limited to: model uncertainties, system's nonlinearities, time delays, disturbance rejection requirements and performance criteria. The scope of this book is to propose different PID controllers designs for numerous modern technology applications in order to cover the needs of an audience including researchers, scholars and professionals who are interested in advances in PID controllers and related topics.
Author: Zhongliang Fu
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 14
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Book Description
In practical control applications, AC permanent magnet synchronous motors need to work in different response characteristics. In order to meet this demand, a controller which can independently realize the different response characteristics of the motor is designed based on neutrosophic theory and genetic algorithm. According to different response characteristics, neutrosophic membership functions are constructed. Then, combined with the cosine measure theorem and genetic algorithm, the neutrosophic self-tuning PID controller is designed. It can adjust the parameters of the controller according to response requirements. Finally, three kinds of controllers with typical system response characteristics are designed by using Simulink. The effectiveness of the designed controller is verified by simulation results.
Author: Zhongliang Fu
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 14
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Book Description
In practical control applications, AC permanent magnet synchronous motors need to work in different response characteristics. In order to meet this demand, a controller which can independently realize the different response characteristics of the motor is designed based on neutrosophic theory and genetic algorithm.
Author: Ariff Che Mohd Noor
Publisher:
ISBN:
Category : Electric motors, Direct current
Languages : en
Pages : 65
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Book Description
This project is focused on implementation of the Propotional (P), Integral (I) and Derivative (D) control system algorithms in microcontroller unit (MCU) for direct current (DC) motor speed control. The PIC series, PIC18F2331 has been used to perform the processing of PID algorithms for DC motor control purpose. The focus is on 12 volt DC motor with 30 revolutions per minute (rpm) maximum speed. No-load case and loaded case are the scope for this research. Three experiments have been done to look how much PID control algorithms affect the performances on driving actual DC motor; PI algorithm experiment, PD algorithm experiment and PID algorithm experiment. The result shows that, implementation of PID algorithm in small scale MCU is possible. PID algorithm that has been impelmented in MCU inside the DC motor controller module system can eliminate the steady state error and overshoot problem including settling time. By creating real time data acquisition software, the performance of the system is monitored and later on analyzed. It is later found out that the PID algorithm has been able to create faster settling time while the overshoot has been reduced to 5% and the steady-state has been successfully reduced. The impact of the load and no load application of the PID algorithm can be already seen by how the PID algorithm has helped the controller to drive a loaded DC motor to the desired speed which could not be achieved without the PID algorithm.
Author: Amandeep Gill
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659397660
Category :
Languages : en
Pages : 92
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Book Description
The aim of the book is to design a simulation model of Brushless dc motor and to control its speed at different values of load torques.In this light, new control schemes should be devised for a better solution of a non linear system. Recently, work has been started toward the development of Artificial Neural Network (ANN) based intelligent controllers. The ANN has several key features that make it highly suitable for BLDCM speed applications. The ANN based PID controller is used for the speed control of BLDCM at different values of load torque and its comparison is done with the conventional controllers like PID and PI controllers.
Author: Michael A Johnson
Publisher: Springer Science & Business Media
ISBN: 1846281482
Category : Technology & Engineering
Languages : en
Pages : 559
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Book Description
The effectiveness of proportional-integral-derivative (PID) controllers for a large class of process systems has ensured their continued and widespread use in industry. Similarly there has been a continued interest from academia in devising new ways of approaching the PID tuning problem. To the industrial engineer and many control academics this work has previously appeared fragmented; but a key determinant of this literature is the type of process model information used in the PID tuning methods. PID Control presents a set of coordinated contributions illustrating methods, old and new, that cover the range of process model assumptions systematically. After a review of PID technology, these contributions begin with model-free methods, progress through non-parametric model methods (relay experiment and phase-locked-loop procedures), visit fuzzy-logic- and genetic-algorithm-based methods; introduce a novel subspace identification method before closing with an interesting set of parametric model techniques including a chapter on predictive PID controllers. Highlights of PID Control include: an introduction to PID control technology features and typical industrial implementations; chapter contributions ordered by the increasing quality of the model information used; novel PID control concepts for multivariable processes. PID Control will be useful to industry-based engineers wanting a better understanding of what is involved in the steps to a new generation of PID controller techniques. Academics wishing to have a broader perspective of PID control research and development will find useful pedagogical material and research ideas in this text.
Author: Jagatheesan Kallannan
Publisher: CRC Press
ISBN: 0429943377
Category : Mathematics
Languages : en
Pages : 91
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Book Description
This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms. Key Features: Highlights the importance of tuning the power system controller parameters with emphasis on bio-inspiration algorithms Provides some applied applications/examples of the thermal power system Focusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systems Reports different cases on the interconnected power systems with providing optimal performance by optimizing the controller’s parameters
