DC motor is a vital component in most of the process control industries. PID controllers are extensively used in DC motors for speed as well as position control. Tuning of PID controller parameters is an iterative process and needs complete optimization to achieve the desired performance. Genetic algorithm (GA) which is a well established tool for optimization has been used to extract PID controller parameters for the velocity control of the DC motor. Different error models are used for evaluating the fitness function. Velocity control is demonstrated using M ATLAB/SIM ULINK modeling.
DC motors are important components of most of the process control industries. PID controllers are extensively used in DC motors for speed as well as position control. Tuning of PID controller parameters is an iterative process and needs an optimization to achieve the desired performance. In this paper a modified form of Interactive Evolutionary Computing (IEC) is used as the tool for achieving optimization of PID controller parameters for the speed control of DC motor. Different error models are used for optimization and a comparison with Genetic Algorithm based approach is presented.
In recent years, reversible logic is the most popular and emerging technology and it will be having wide applications in the field of Low power CMOS, quantum computing and optical computing. Circuits with reversible logic gates provide low power dissipation and low energy loss. This paper proposes the Adder/Subtractor designs that are used in many DSP applications. This paper proposes the efficient Adder/Subtractor design in terms of gate count, garbage outputs, constant inputs and quantum cost. The proposed circuits will simulated using ModelSim simulator and implemented on Xilinx FPGA platform.
Proportional-Integral-Derivative (PID) Controllers plays a significant role in many industrial and commercial applications. Designing of PID controller is always a challenging problem especially for high order systems. It is known that PID Controller is employed in every aspect of industrial automation. The PID Controller applications are spanned from small industry to higher technology industries. Hence, the problem is always how to optimize the PID Controller. Generally, initial designs obtained by all means need to be adjusted repeatedly through computer simulations until the closed-loop system performs or compromises as desired. This simulation involves the development of "intelligent" tools that can assist engineers to achieve the best overall PID control for the entire operating range. Self-tuning method for PID Controller using Evolutionary Computational (EC) Techniques capable of providing robust design. In this paper two types of tuning methods are presented, namely Genetic Algorithm and Modified Interactive Evolutionary Computation Method. The results obtained by them based on velocity control of DC motor and harmonic analysis are analysed and a comparative study of the two are presented. KEYWORDS: DC motor, PID, Genetic Algorithm, MIEC I.INTRODUCTIONPID Controller is a generic control loop feedback mechanism and is widely used in control system. PID Controllers use three basic behavior types or modes: P -proportional, I -integral and D -derivative. While proportional and integral are together used as single control mode, a derivative mode is rarely used on its own in control systems. Combinations such as PI and PD control are very often used in practical systems. A proportional-integral-derivative controller or commonly known as PID Controller is a generic control loop feedback mechanism (controller) widely used in industrial control systems. Therefore, a PID is the most commonly used feedback controller [1]. Such type of controller estimates fault rate as the difference between a considered method variable and a required set-point. The designed controller tries to reduce the error by correcting the process control inputs. The PID Controller algorithm consists of three distinct stable parameters, and is consequently termed as three-term control, they are proportional, integral and derivative values, denoted as P, I, and D. The weighed sum of these three events is deployed to regulate the process using a control constituent. A PID Controller is the most excellent controller. The controller has a potential to facilitate the organized act programmed for specific process needed by modifying the three parameters in a PID Controller algorithm. The block diagram of a PID Controller is shown in Fig. 1
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.