Fuzzy Tuned PID Controller Research Articles

Design of suspension control system for bearingless induction motor using self tuning fuzzy-PID controller

Design of suspension control system for bearingless induction motor using self tuning fuzzy-PID controller

Adaptive Fuzzy PID Controller applied to micro turbojet engine

Digital controllers are utilized for controlling modern gas turbine engines. Firstly, an identified discrete model is built for a micro turbojet engine (MTE) jet cat P200sx. Two controllers are designed, gain scheduling PID and adaptive fuzzy tuned PID controllers are presented in this paper. Analysis of traditional PID and Adaptive fuzzy tuned PID controller applied for micro turbojet engine is presented. According to the fuzzy rules, a fuzzy logic controller (FLC) is developed to modify the gains of the PID controller automatically. MATLAB/Simulink is utilized to simulate the complete device consisting of an adaptive fuzzy PID controller, and the micro turbojet engine model. The two controllers’ responses are compared. A comparison of the robustness of each controller against the effect of noise and rejection of disturbance is illustrated. The results showed that, through small rise time, small set time, minimal overshoot, and minimal SteadyState speed error, the PID controller adaptive fuzzy tuned provides better dynamic MTE action and thus superior performance.

A Novel Modified Control Scheme in Grid-Tied Photovoltaic System for Power Quality Enhancement

In this article, a modified reduced order generalized integrator-based frequency-locked loop (MROGI-FLL) is proposed for controlling the interfacing inverter of the grid-tied photovoltaic system to mitigate the harmonics. Additionally, a fuzzy tuned PID controller is integrated in the proposed scheme to minimize the steady-state error, which results the voltage level is maintained constant at the common dc-link bus terminals. The MROGI-FLL is designed to evaluate the three-phase reference currents by extracting the fundamental constituents from the load currents and grid voltages. The proposed MROGI-FLL has several advantages such as better harmonic mitigation capability, control adaptivity, adaptive frequency and phase, grid synchronization, and low computation burden. The proposed reference current generator is simulated on MATLAB/Simulink platform under steady state and various transient conditions.The comparative study of proposed scheme is compared with the existing and adaptive control techniques, which assures the potency of the proposed control algorithm in-terms of harmonic mitigation, dc-offset rejection, frequency variation, and computation burden. Finally, the experimental results are verified through an experimental platform by using the dSPACE evaluation kit and both the simulation and hardware characteristics are well justified to the IEEE-519 standard limits.

Implementation of Fuzzy Tuned PID Controller Using PIC18F2520 for Speed Control of BLDC Motor

Brushless direct current (BLDC) Motor finds widespread application in Engineering such as robotics, aerospace, biomedical systems, conveyor systems, electric vehicles etc. This is due to their superior electrical and mechanical characteristics. This research work focus on implementation of a Fuzzy-Tuned PID controller around PIC18F2520 microcontroller, for the speed control of a Brushless direct current (BLDC) motor. Fuzzy logic is used to update the gains of the PID controller online. The results prove the superiority of the Fuzzy-tuned PID controller over its conventional counterpart as it has lower steady state errors and more robust to parameter variations and load disturbances. Keywords: BLDC motor, Fuzzy Tuned PID Controller, PIC18F252 Microcontroller, Speed Control DOI: 10.7176/CTI/8-08

Design of Fuzzy Tuned PID Controller for Anti Rolling Gyro (ARG) Stabilizer in Ships

The Anti Rolling Gyro (ARG) is a roll reduction device for vessels that utilizes gyro torque stabilization. One of the ARG's main features is to reduce ship rolling motion even at zero speed which is impossible by using fin stabilizer. ARG consists of a dedicated spinning wheel that generates gyrosc...

Fuzzy Tuning PID Control of the Rolling Mill Main Drive System

The main drive system using for four-high mill is usually a double closed loop DC motor speed regulating system. Generally, the speed controller and current controller are PID controllers, and the parameters of controllers are determined by the engineering design method. Once disturbance occur, the control effects are often just passable. In this paper, fuzzy logic is used to set the parameters of the speed PID controller, so as to improve the disturbance rejection ability. Simulation results show that the fuzzy tuning PID controller can give better control effect than the regular control.

Performance Comparison of Conventional Controller with Fuzzy Logic Controller using Chopper Circuit and Fuzzy Tuned PID Controller

It is often difficult to develop an accurate mathematical model of DC motor due to unknown load variation, unknown and unavoidable parameter variations or nonlinearities due to saturation temperature variations and system disturbances. Fuzzy logic application can handle such nonlinearities so that the controller design is fundamentally robust which is not possible in conventional controllers. The knowledge base of a fuzzy logic controller (FLC) encapsulates expert knowledge and consists of the Data base (membership functions) and Rule-Base of the controller. Optimization of both these knowledge base components is critical to the performance of the controller and has traditionally been achieved through a process of trial and error. Such an approach is convenient for FLCs having low numbers of input variables however for greater numbers of inputs, more formal methods of knowledge base optimization are required. In this work, we study the challenging task of controlling the speed of DC motor. The feasibility of such controller design is evaluated by simulation in the MATLAB/Simulink environment. In this study Conventional Proportional Integral Derivative controller, Fuzzy logic controller using a chopper circuit and Fuzzy tuned PID controller are analyzed and compared. Simulation software like MATLAB with Simulink has been used for modeling and simulation purpose. The performance comparison of conventional controller with Fuzzy logic controller using chopper circuit and Fuzzy tuned PID controller has been done in terms of several performance measures Such as Settling time, Rise time and Overshoot.

Development of a Novel Linear Magnetic Actuator

The aim of this paper is to design, fabricate and control a novel Linear Magnetic Actuator (LMA) for applications such as active magnetic bearing systems to deal with vibration problems in rotating machines. This LMA actuator contains a moving body named ‘mover’ and three driving parts to drive the mover. Firstly, experiments have been conducted on the LMA to derive its mathematical model in order to investigate the generated electro-magnetic force as well as further research. The modeling result in a comparison with the actual system performance show that the electro-magnetic force varied symmetrically with the mover motion defined by the applied current. Secondly, an advanced trajectory controller named online tuning fuzzy PID controller has been designed for the LMA to improve the working performance. Finally, real-time experiments have been carried out to evaluate the tracking performance of the designed LMA control system. The results prove that the LMA driven by the proposed controller could track the desired trajectories with high accuracy.

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

Development of an Advanced Semi-Active Damper Using Smart Fluid

In this paper an advanced semi-active damper is designed and experimentally studied to investigate and establish its behavior. A prototype Magneto-rheological fluid Damper is designed as advanced semi-active damper due to its huge advantages. Magneto-rheological fluid with improved dispersion stability is prepared here as smart fluid. The relation between force and displacement for various current has been established to develop the semi-active damper model. In this study a fuzzy tuned PID controller is opted to achieve better response for a various frequency input. The proposed MR damper can be applied to vehicle syspension system and other suspension mitigation system widely. Moreover, the identified behaviour can help in further development of MR damper technology. The characteristics obtained from of MR damper is more realistic as it is obtained from experiments.

Adaptive Neuro-Fuzzy Inference System based speed controller for brushless DC motor

In this paper, a novel controller for brushless DC (BLDC) motor has been presented. The proposed controller is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and the rigorous analysis through simulation is performed using simulink tool box in MATLAB environment. The performance of the motor with proposed ANFIS controller is analyzed and compared with classical Proportional Integral (PI) controller, Fuzzy Tuned PID controller and Fuzzy Variable Structure controller. The dynamic characteristics of the brushless DC motor is observed and analyzed using the developed MATLAB/simulink model. Control system response parameters such as overshoot, undershoot, rise time, recovery time and steady state error are measured and compared for the above controllers. In order to validate the performance of the proposed controller under realistic working environment, simulation result has been obtained and analyzed for varying load and varying set speed conditions.

Performance analysis of Fuzzy logic based speed control of DC motor.

In this paper we have designed a separately excited DC motor whose speed can be controlled using PID and fuzzy tuned PID controller 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 second is change in speed error and 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 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.

Development of a novel linear magnetic actuator with trajectory control based on an online tuning fuzzy PID controller

In this paper, a novel magnetic actuator named Linear Magnetic Actuator (LMA) is proposed, designed and fabricated for applications such as active magnetic bearing systems to deal with vibration problems in rotating machines. The LMA actuator is constructed from a moving body called ‘mover’ and three driving parts which drive the mover. Real-time experiments on the LMA have been conducted to derive a mathematical model for this actuator to investigate the generated electro-magnetic force as well as further research. The modeling results in a comparison with the actual performance show that the electro-magnetic force varied symmetrically with the mover motion defined by the applied current. Furthermore, an advanced trajectory controller — online tuning fuzzy PID controller has been designed for the LMA in order to improve the working performance. Finally, real-time experiments have been carried out to investigate the tracking performance of the designed LMA control system. The experimental results prove that the LMA driven by the proposed controller could track the desired trajectories with high accuracy.

Adaptive Fuzzy Tuned PID Controller for Combustion of Utility Boiler

This article deals with the proposed design of adaptive fuzzy tuned PID controller for combustion process in utility boiler. Advanced PID controllers are designed separately for fuel and air to regulate the inputs to the utility boiler in proper ratio and maintain the desired steam pressure at the turbine inlet, irrespective of the change in steam demand. Online adaptive error factor for tuning the PID controller for fuel is presented as per the boiler dynamics, considering turbine first-stage pressure and throttle pressure. Online adaptive error factor to tune the PID controller for air is presented by measuring oxygen in the flue gas path at the outlet of the boiler economizer. The gains of the PID controllers are adjusted online in accordance with the adaptive fuel and air error factor using fuzzy logic tuning scheme. The real-time studies were carried out on the lab scale experimental set-up using conventional PID and adaptive fuzzy tuned PID control strategies. The robustness of the adaptive fuzzy tuned PID control scheme is demonstrated for both positive and negative changes in the set point as well as in the load perturbation. The performances of all the control schemes are compared quantitatively using both time domain specifications and error integral criteria. The implementation of an adaptive fuzzy tuned PID control scheme for air and fuel flow for combustion in utility boiler gave better results than conventional PID scheme.