Comparitive Analysis of P-I, I-P, PID and Fuzzy Controllers for Speed Control of DC Motor (original) (raw)
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Comparative Analysis of PI, PID and Fuzzy Logic Controllers for Speed Control of DC Motor
2014
DC motor plays an important role in industry. Thus, the speed control of DC motor is a prime task. This paper gives a comparison of the performance of conventional proportional integral (PI), proportional integral derivative (PID) and fuzzy logic controllers (FLC) for speed control of DC motor. A set of rules have been designed for FLC. FLC is an expert knowledge system which improves the result. Thus the comparison of the graphical results so obtained shows that fuzzy logic approach has minimum overshoot, fast response, and minimum transient and steady state parameters. The results so obtained conclude that FLC is more efficient than PI and PID controller.
DC Motor Speed Control: A Case between PID Controller and Fuzzy Logic Controller
Proportional-Integral-Derivative (PID) controllers have gained wide popularity in the control of DC motors. Their performances, though require some degree of manual tuning by the operator, are still satisfactory but a means of auto-tuning is desirable. In this paper, the performance of a select dc motor controlled by a proportional-integral-derivative (PID) controller is investigated. An overshoot is observed with an accompanied large settling time thereby confirming the behavior of a typical PID controller. It is therefore a matter of necessity to tune the PID controller in order to obtain the desired performance. On the other hand, a fuzzy logic based controller applied to the dc motor is investigated. With the application of appropriate expert rules, there is no overshoot and the settling time is within the desired value. With fuzzy logic controller, manual tuning is eliminated and intelligent tuning takes the centre stage with satisfactory performance.
Comparative Study of PID and Fuzzy Controllers for Speed Control of DC Motor
International Journal of Innovative Research in Science, Engineering and Technology, 2014
this paper presents two efficient methods for speed control of a separately excited D.C motor using PID control and fuzzy logic control. The motor was modelled and converted to a subsystem in SIMULINK. The simulation development of the PID controller with the mathematical model of DC motor is done using Ziegler-Nichols method and trial and error method. The PID parameter is tested with MATLAB/SIMULINK program. (FLC) the fuzzy logic controller is designed according to fuzzy rules so that the systems are fundamentally robust. There are 25 fuzzy rules. The FLC has two inputs. One is the motor speed error between the reference and actual speed and the second is change in speed error (speed error derivative).For comparison purpose, PID and Fuzzy controllers have been tested using MATLAB/SIMULINK program for speed under load and no load conditions. The result shows that the Fuzzy controller is the best controller than PID controller. In addition fuzzy logic controller Demonstrates good performance, faster design and work well for high-order and nonlinear and shows the efficiency over the PID controller.
2010
This paper presents a comparative study of various controllers for the speed control of DC motor. The most commonly used controller for the speed control of dc motor is ProportionalIntegral (P-I) controller. However, the P-I controller has some disadvantages such as: the high starting overshoot, sensitivity to controller gains and sluggish response due to sudden disturbance. So, the relatively new Integral-Proportional (I-P) controller is proposed to overcome the disadvantages of the P-I controller. Further, two Fuzzy logic based controllers namely; Fuzzy control and Neuro-fuzzy control are proposed and the performance these controllers are compared with both P-I and I-P controllers. Simulation results are presented and analyzed for all the controllers. It is observed that fuzzy logic based controllers give better responses than the traditional P-I as well as I-P controller for the speed control of dc motor drives. Keywords—Proportional-Integral (P-I) controller, IntegralProportiona...
Speed Control of DC Motor Using Fuzzy PID Controller
In this project, we designed a DC motor whose speed can be controlled by a PID controller. The proportional, integral and derivative gains (KP, KI, KD) of the PID controller are adjusted according to Fuzzy logic. First of all, the fuzzy logic controller is designed according to rules so that the systems is basically robust. There are 25 rules for the auto-tuning of each parameter of the PID controller. The FLC (fuzzy logic controller) has two inputs. The first is the motor speed error between the reference (setpoint) and the actual speed. The second is the variation of the speed error (derivative of the speed error). Secondly the output of the FLC is the parameters of the PID controller which are used to control the speed of the DC motor. The study shows that both the precise characters of PID controllers and the flexible characters of fuzzy controllers are present in the fuzzy self-tuning PID controller. The fuzzy auto-tuning approach implemented on a conventional PID structure was able to control the speed of the DC motor. It also improved the dynamic and static response of the system. The comparison between the conventional response and the fuzzy self-tuning response was performed based on the simulation result obtained by MATLAB/SIMULINK. The simulation results show that the designed self-adaptive PID controller achieves good dynamic behavior of the DC motor, perfect speed tracking with short rise and settling times, zero overshoot and steady state error and thus gives better performance compared to the conventional PID controller. We then model the fuzzy PID using simple code on Arduino IDE and perform a practical experiment, to confirm our theorical results.
Intelligent Speed Control of DC Motor using Fuzzy Algorithm
In this paper, an overview of intelligent control technique for the speed control of a direct current (DC) motor has been discussed. Considering the non-linear characteristics of the DC motor and its mechanical variations due to operating conditions, the traditional controllers alone are not enough to give precise control. A more adaptive controller using fuzzy logic is built in this study to realize a better control compared with the current PID controller. It is a technique that auto tunes the PID parameters according to the response of plant. In this the outputs of the fuzzy logic controller are used as dynamic parameters of PID. Simulation results illustrate the practicability of this technique. This article presents a comparative study between Proportional-Integral-Derivative (PID), a modified PID structure called I-PD, Fuzzy Logic Controller (FLC) and Fuzzy PID (F-PID) controllers based on time domain characteristics. The results indicate the supremacy of F-PID over the classical controllers grounded on the transient response analysis.
PID and Fuzzy Logic Controllers for DC Motor Speed Control
Communications in Computer and Information Science, 2019
Proportional, integral and derivative (PID) controllers are commonly applied in industrial environments because of their performance and simplicity application in linear systems. On the other hand, Fuzzy logic controllers (FLC) imitate the human knowledge applying a linguistic ideology instead of mathematical calculations. These features make FLC suitable for nonlinear systems by providing an affordable response in terms of speed control. This research proposes a comparative study between PID controller and FLC for separately excited DC motor. Both controllers are tested under different conditions such as overshoot percentage, rise time, torque load disturbance and multiple steps input. Furthermore, this study determines the benefits and drawbacks of each controller when they are evaluated to obtain an appropriated output for DC motor speed control.
Comparative Speed Control Study Using PID and fuzzy Logic Controller
This paper presents the most commonly used controller in the industry field is the (PID) controller. Fuzzy logic controller (FLC) provides an alternative to PID controller. The purpose of this paper is to design a Fuzzy Logic controller to improve the performance (speed) of the DC motor in order to control the angular speed of the motor. The purpose of Fuzzy Logic controller is to improve the performance of DC motor by controlling the speed of the motor using different system and to show that the Fuzzy Logic controller can be used on the DC motor control.
Design and Simulation of Speed Control of DC Motor by Fuzzy Logic Technique with Matlab/Simulink
The design of intelligent control systems has become an area of intense research interest. A promising direction in the design of intelligent systems involves the use of Fuzzy logic controller to discover the abilities of intelligent control systems in utilizing experience via rule-based knowledge. The most commonly used controller in the industry field is the proportional plus- integral-plus- derivative (PID). PID controller requires a mathematical model of the system while Fuzzy logic controller (FLC) provides an alternative to PID controller, especially when data are not available or partly available for the system. For comparison purpose, three controllers PI, PID and FLC have been designed and implemented in the MATLAB/Simulink model to examine the performance of DC motor with different loads. The results show that the FLC give better response compared to PI &PID controller.