Fuzzy Logic PID Controller Research Articles

Precise Angle Control of Electromechanical Actuator with Fuzzy PID and Genetic Algorithm

With the development of the new kinds of permanent magnetic materials and the tech of drive circuits, more and more electromechanical actuators have been used in the space applications, such as tactical missiles, smart UAV and so on. This study presents an electromechanical actuator actuated by four Brushless DC motors (BLDC) driven rudder wings .Two different control schemes are implemented to regulate the output angle of the EMA rudder wings. Namely a fuzzy logic PID controller （Fuzzy-PID）and a genetic algorithm optimized PID (GA-PID) controller. The feasibility of the two controllers is evaluated both numerically and experimentally, it is shown that Fuzzy-PID leads to a loss of control in high frequency conditions, while, GA-PID can ensure the precise angle control and an accurate tracking performance.

Fuzzy Control for Nonlinearball and Beam System

This paper studies the control of the ball-and beam system by different controllers. Many nonlinear controllers for ball and beamsystem can achieve in some cases asymptotic stability.On the other hand, many laboratories useProportional Integral Derivative control for the ball and beam system, but theory analysisis based on a linear approximate model. Therefore, some methods of controlfor the ball's position in this system are required for getting ideal system. The fuzzy logic controller will achieved ideal response of the stability of Ball and Beam system.Later in this paper, we will implement a PID control and fuzzy logic control to get the ideal stability. The paper had shown great progress and successful results.

Numerical Analysis of Fuzzy Logic Control and PID Control Response for an Electro-Hydraulic Actuation System

Model free Fuzzy Logic Controller and Model Based PID Controller are widely used in controlling elctro-hydraulic actuation systems. In order to have a model free approach that is free of uncertainties of actual system the Fuzzy Logic control is being of higher interest now a days. So a study of comparison of the two type of control has been done using a Simulink model of electro hydraulic actuation system. The results have been shown for a sinusoidal position demand. KeywordsFuzzy, PID, control, Electro-hydraulic

A Novel Design of Fuzzy PID Controllers for Dual-Sensor Cardiac Pacemaker Systems

This work proposes to design a fuzzy proportional-integral derivative (FPID) controller for dual-sensor cardiac pacemaker systems, which can automatically control the heart rate to accurately track a desired preset profile. The combination of fuzzy logic and conventional PID control approaches is adopted for the controller design based on dual-sensors. This controller offers good adaptation of the heart rate to the physiological needs of the patient under different states (rest and walk). Through comparing with the conventional fuzzy control algorithm, FPID provides a more suitable control strategy to determine a pacing rate in order to achieve a closer match between actual heart rate and a desired profile. To assist the heartbeat recovery, the stimuli with adjustable pacing rate is generated by the pacemaker according to the FPID controller, such actual heart rate may track the preset heart rate faithfully. Simulation results confirm that this proposed control design is effective for heartbeat recovery and maintenance. This study will be helpful not only for the analysis and treatment of bradycardias but also for improving the performance of medical devices.

The Brushless DC Motor Adaptive Fuzzy PID Servo Controller Design

The brushless DC motor (BLDCM) non-linear and the complexity of the working conditions are likely to cause the conventional PID servo control performance is not satisfactory. In order to improve the performance of the BLDCM servo control system and PID parameter tuning efficiency, this paper designs an adaptive fuzzy PID controller. Fuzzy logic PID controller parameters Kp, Ki, Kd are adjusted online real time to achieve the effect of optimal control, the BLDCM speed is as to the control object, and in the Matlab of Simulink toolbox simulation is used to achieve speed closed loop of BLDCM. According to comparative analysis of the conventional PID and adaptive fuzzy PID of Dynamic response curve, adaptive Fuzzy PID quick start for brushless DC motors, anti-disturbance has better control effect.

Performance based Comparison between Various Z-N Tuninng PID and Fuzzy Logic PID Controller in Position Control System of DC Motor

The objective of this paper is to compare the time specification performance between conventional controller and artificial intelligence controller in position control system of a DC motor. The scope of this research is to apply direct control technique in position control system. Two types of controller namely PID and fuzzy logic PID controller will be used to control the output response. This paper was written to reflect on the work done on the implementation of a fuzzy logic PID controller. The fuzzy controller was used to control the position of a motor which can be considered for a general basis in any project design containing logic control. Motor parameters were taken from a datasheet with respect to a real motor and a simulated model was developed using Matlab Simulink Toolbox. The fuzzy control was also designed using the Fuzzy Control Toolbox provided within Matlab, with each rule consisting of fuzzy sets conditioned to provide appropriate response times with regards to the limitations of our chosen motor. The Fuzzy Inference Engine chosen for our control was the Mamdani Minimum Inference engine. The results of the control provided response times suitable for our application.

Performance based Comparison between Various Z-N Tuninng PID and Fuzzy Logic PID Controller in Position Control System of DC Motor

Performance based Comparison between Various Z-N Tuninng PID and Fuzzy Logic PID Controller in Position Control System of DC Motor

Fuzzy PID Control for Networked Control System of DC Motor with Random Design

Separately excited DC motor speed can be controlled using PID controller and fuzzy logic controller. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are adjusted according to FUZZY LOGIC. First, the fuzzy logic controller is designed according to fuzzy rules so that the systems are fundamentally robust. There are 25 fuzzy rules for self-tuning of each parameter of PID controller. 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).Secondly, the output of the FLC i.e. the parameters of PID controller are used to control the speed of the separately excited DC Motor. The study shows that both precise characters of PID controllers and flexible characters of fuzzy controller are present in fuzzy self-tuning PID controller. The fuzzy self-tuning approach implemented on a conventional PID structure was able to improve the dynamic as well as the static response of the system. Comparison between the conventional output and the fuzzy self-tuning output was done on the basis of the simulation result obtained by MATLAB. The simulation results demonstrate that the designed self-tuned PID controller realize a good dynamic behavior of the DC motor, a perfect speed tracking with less rise and settling time, minimum overshoot, minimum steady state error and give better performance compared to conventional PID controller.

Modeling and Simulation of Parameter Self-Tuning Fuzzy PID Controller for DC Motor Speed Control System

The establishment of DC motor system model is an important part of its control system analysis, this paper introduces the traditional method of modeling and the application of parameter self-tuning fuzzy logic PID control in the simulation and experimental research of variable speed control system for DC electric motor. In MATLAB / SMULINK simulation environment, high robustness and precision are obtained. The simulation results show that fuzzy logic PID control strategy has better performances than traditional controllers.

СИНТЕЗ СИСТЕМИ КЕРУВАННЯ З НЕЧІТКИМ ПІД-РЕГУЛЯТОРОМ ТИПУ 2

Розглянуто метод синтезу нечіткого ПІД-регулятора типу 2 для керування процесомнаведення обертового твердого тіла. Особливість запропонованого методу полягає взастосуванні функцій належності типу 2, які складаються з зовнішньої та внутрішньоїфункцій належності типу 1. Порівняно роботи синтезованого нечіткого ПІД-регулятора зПІД-регулятором, який отримано методом лінійних матричних нерівностей. Результатимоделювання демонструють високу ефективність запропонованого нечіткого регулятора.Ключові слова: нечіткий регулятор, ПІД-регулятор, система керування.

Performance Comparison of Various Controllers for DC-DC Synchronous Buck Converter

DC-DC converters are extensively used in the modern telecommunication and consumer electronics. Design of such converters is a challenge for electrical engineers due to the user requirements and the inherent non linear nature. When the required output does not follow the set-point, a controller is to be used with objective of keeping the error as minimum. For a DC-DC converter, the input and load variations are major reasons which alter the proper functioning. The controller for such DC-DC converter is a circuit or an algorithm which changes the Pulse Width Modulation (PWM) waveform by adjusting the ON-OFF timings thereby keeping the output at the desired value. Quick settling time and rise time to the desired output along with high efficiency, required phase margin, loop bandwidth are the main constraints on the controller. Design of such controller is the main purpose of this research paper. Two types of controllers are designed namely PID controller and Fuzzy Logic Controller (FLC). PID controller is tuned using Internal Model Control (IMC) method and Ziegler Nicholas (ZN) method. FLC with optimum number of rules is designed. The above controllers are compared and it is found that FLC gives the minimum settling time of 1.9ms, overshoot percentage of 13.78 and rise time of 0.654ms. The output variations due to line voltage and load changes are also found to be minimum with FLC.

Smart hanger dynamic modeling and fuzzy controller design

The controlled smart hanger is an indispensable component in the automatic system for garment inspection. Fuzzy logic is chosen for the smart hanger manipulator since it can describe the human behavior remarkably well. In this paper, the dynamic model of the manipulator governing the contact force with garment fabric is first developed. An adaptive fuzzy logic PID control scheme is successfully formulated for the contact force control. Simulation results indicate that the fuzzy PID controller can yield a faster response without overshoot and a smaller error performance as compared to the traditional method based on PID. The stability of the fuzzy PID controller is also demonstrated by computer simulations.

Research on Adaptive Fuzzy PID Synchronous Control Strategy of Double-Motor

The double-motor synchronous control system is widely used in industrial field. Its performance plays an important role in production. Traditional PID controller parameters are difficult to tune when used in control system, as well as the control effect can not satisfy the requirement of producing process when the controller plant is complex non-linear system. In this paper, adaptive fuzzy PID which can tune the parameters on-line is introduced to apply in the double-motor synchronous control system. In MATLAB / SMULINK simulation environment, the speed of master motor is perfectly followed by slave motor, and high robustness and precision are obtained. The simulation results show that fuzzy logic PID control strategy has better performances than traditional controller.

Hybrid intelligent control scheme of a polymerization kettle for ACR production

Polymerization kettle is the key controlled plant in ACR (Acrylate Copolymer Resin) production, which is a nonlinear time-delay system with parametric variance. However, modeling difficulties make the plant dynamic model poorly defined. A hybrid intelligent control scheme including an intelligent predictor is designed for this complex plant based on time-delay compensation theory. It consists of a Smith neural-network predictor and a self-adjusting-scaling-factor fuzzy logic controller. The simulation experiments verified the performance of our proposed system in two scenarios: one with invariant parameters and the other with time-varying parameters. Moreover, the comparison to other three typical control methods including Smith PID, Smith neural-network PID and Smith fuzzy logic control is also presented, which demonstrates that the proposed control scheme has satisfactory effect. Even when the system parameters vary with time, the proposed system still gives superior performance and improved robustness.

Wireless control of automotive actuator based on PID and Fuzzy Logic

AbstractComponents and actuators of modern vehicles are now tested using a Laptop in a repairing garage. In the near future, those tests will be done using a wireless communication. This paper deals with the wireless control of a car actuator.In order to control the angular displacement of an automobile Pierburg mechatronic actuator and achieve a wireless network control, a new PID-fuzzy logic controller topology is designed, which takes advantage of PID and fuzzy logic controllers and reduce the time delay caused by the wireless communication in the control loop.Different from other fuzzy PID controllers, our PID controller is located before the fuzzy controller and acts as its inputs. The proposed PID-fuzzy logic controller achieves the control task reducing the steady-state error. Experimentation of the wireless control is presented exhibiting good results.

Active Vibration Control of an FGM Rectangular Plate using Fuzzy Logic Controllers

In this paper, active vibration control of a simply supported rectangular plate made from functionally graded materials (FGM) with fuzzy logic control (FLC) is investigated and compared to the results obtained with the application of PID control. According to the importance of vibration reduction of plates as a major element of industrial and aerospace structures many researches in this field have been done. Application of smart materials specially, piezoelectric patches as actuators and sensors can effectively reduce plate vibrations. Firstly differential equation of motion for a rectangular plate made of functionally graded material equipped with piezoelectric patches is derived using a local function to consider the effects of piezoelectric mass and stiffness. Classical plate theory is used to derive the equation of motion. Double Fourier series is used to obtain the first nine natural frequencies and mode shapes of plate. Modal analysis is applied to obtain the system responses imposed to an initial condition and a comparison is made between the application of PID control and FLC to dampen the plate vibration. The results of both methods are shown through numerical results and graphical illustrations. The research shows FLC has more capability to dampen the vibration of the smart plate compared to PID control.

Design and simulation of an ABS for an integrated active safety system for road vehicles

A design methodology for an anti-lock braking system (ABS) controller for four-wheeled road vehicles is presented. In the study, a flexible approach was adopted considering integration with an integrated active safety system control structure. In the hierarchical control strategy proposed for the ABS controller, a high-level controller, through vehicle longitudinal acceleration-based estimation, determines reference wheel slip values, and a low-level controller attempts to track these reference slip signals by modulating braking torques. Two control methods were investigated for the design of the low-level controller: fuzzy logic control and PID control.

Fuzzy Logic PID Control of Automatic Voltage Regulator System

Fuzzy Logic PID Control of Automatic Voltage Regulator System

Elektrik motoru ile tahrik edilen dört-çubuk mekanizmasının kayan kip hız kontrolü

In this study, the speed control of a four-bar linkage mechanism driven by an electric motor is considered. Firstly, a complete mathematical model for the motor-mechanism system is developed and the motion equations of the system are obtained and then these equations are solved numerically. Secondly, the speed control of the system is carried out by using Sliding Mode Control (SMC) method and the results obtained from simulation are compared with those of PID control and fuzzy logic control. Numerical simulations show that, the sliding mode control method has much better performance in the speed fluctuation, the percent overshoot, the steady-state error, and the average speed than the other control methods.

Design Fuzzy Self Tuning of PID Controller for Chopper-Fed DC Motor Drive

Tuning the parameters of a PID controller is very important in PID control. Ziegler and Nichols proposed the well-known Ziegler-Nichols method to tune the coefficients of a PID controller. This tuning method is very simple, but cannot guarantee to be always effective. For this reason, this paper investigates the design of self tuning for a PID controller. The controller includes two parts: conventional PID controller and fuzzy logic control (FLC) part, which has self tuning capabilities in set point tracking performance. The proportional, integral and derivate (KP, KI, KD) gains in a system can be self-tuned on-line with the output of the system under control. The conventional PI controller (speed controller) in the Chopper-Fed DC Motor Drive is replaced by the self tuning PID controller, to make them more general and to achieve minimum steady-state error, also to improve the other dynamic behavior (overshoot). Computer Simulation is conducted to demonstrate its performance and results show that the proposed design is success over the conventional PID controller. Keywords: PID controller, Fuzzy logic control, Self tuning controller, Chopper fed-DC motor drive.