scholarly journals Intelligent Pitch Controller Identification and Design

2021 ◽  
Vol 15 ◽  
pp. 134-140
Author(s):  
Amir Torabi ◽  
Amin Adine Ahari ◽  
Ali Karsaz ◽  
Seyyed Hossin Kazemi
Keyword(s):  
Control System ◽  
Pitch Angle ◽  
Pid Controller ◽  
Individual Component ◽  
Fuzzy Controller ◽  
Identification System ◽  
Pitch Control ◽  
Common Criteria ◽  
Lqr Controller ◽  
Aircraft System

This paper exhibits a comparative assessmentbased on time response specification performance between modern and classical controller for a pitch control system of an aircraft system. The dynamic modeling of pitch control system is considered on the design of an autopilot that controls the pitch angle It starts with a derivation of a suitable mathematical model to describe the dynamics of an aircraft. For getting close to actual conditionsthe white noise disturbance is applied to the system.In this paper it is assumed that the modelpitch control systemis not available. So using the identification system and Box-Jenkins model estimator we identify the pitch control system System’s identification is a procedure for accurately characterizing the dynamic response behavior of a complete aircraft, of a subsystem, or of an individual component from measureddata.To study the effectiveness of the controllers, the LQR Controller and PID Controller and fuzzy controller is developed for controlling the pitch angle of an aircraft system. Simulation results for the response of pitch controller are presented instep’s response. Finally, the performances of pitch control systems are investigated and analyzed based on common criteria of step’s response in order to identify which control strategy delivers better performance with respect to the desired pitch angle. It is found from simulation, that the fuzzy controller gives the best performance compared to PID and LQR controller.

Design and Implementation of Fuzzy PID Controller for Brushless DC Motor Control System

2013 ◽  
Vol 432 ◽  
pp. 472-477
Author(s):  
Wei Fan ◽  
Tao Chen
Keyword(s):  
Control System ◽  
Digital Signal Processor ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Digital Signal ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Fuzzy Pid ◽  
Brushless Dc ◽  
Fuzzy Pid Controller

This paper presents a robust fuzzy proportional-integral-derivative (PID) controller for brushless DC motor (BLDCM) control system. The hardware circuit of the BLDCM control system is designed and implemented using a digital signal processor (DSP) TMS320LF2407A and a monolithic BLDCM controller MC33035 as the core. Furthermore, a fuzzy PID controller, which combines the advantages of good robustness of fuzzy controller and high precision of conventional PID controller, is employed in the hardware system, thereby yielding a digital, intelligent BLDCM control system. Experimental results have shown that the control system can run steadily and control accurately, and have convincingly demonstrated the usefulness of the proposed fuzzy PID controller in BLDCM control system.

Fuzzy Controller Design for Multi-Legged Robot

2011 ◽  
Vol 383-390 ◽  
pp. 7345-7350
Author(s):  
Zhi Yong Tang ◽  
Hai Xiao Zhong ◽  
Zhong Cai Pei ◽  
Yan Hao Bu
Keyword(s):  
Control System ◽  
Real Time ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Controller Design ◽  
High Accuracy ◽  
Dynamics Analysis ◽  
Legged Robot ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller

In this paper, we propose a mechanical structure for multi-legged robot. Referring the request of control system, we also made a proper choice on driving means. After dynamics analysis on a single leg of the robot, we make a simulation using ADAMS and get how the torque of each joint is changing when the robot is walking. The model of DC motor is established for the control system. Fuzzy PID controller was used to get real-time response and high accuracy of control system.

scholarly journals Design and Implementation of an Intelligent Blade Pitch Control System and Stability Analysis for a Small Darrieus Vertical-Axis Wind Turbine

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 235
Author(s):  
Gebreel Abdalrahman ◽  
Mohamed A. Daoud ◽  
William W. Melek ◽  
Fue-Sang Lien ◽  
Eugene Yee
Keyword(s):  
Control System ◽  
Stability Analysis ◽  
Power Output ◽  
Pitch Angle ◽  
Vertical Axis ◽  
Prototype Model ◽  
Vertical Axis Wind Turbine ◽  
Pitch Control ◽  
Hybrid Controller ◽  
The Stability

A few studies have been conducted recently in order to improve the aerodynamic performance of Darrieus vertical-axis wind turbines with straight blades (H-type VAWTs). The blade pitch angle control is proposed to enhance the performance of H-type VAWTs. This paper aims to investigate the performance of an H-type VAWT in terms of its power output and self-starting capability using an intelligent blade pitch control strategy based on a multi-layer perceptron artificial neural network (MLP-ANN) method. The performance of the proposed blade pitch controller is investigated by adding a conventional controller (PID) to the MLP-ANN controller (i.e., a hybrid controller). The dynamics of an H-type VAWT is mathematically modeled in a nonlinear state space for the stability analysis in the sense of Lyapunov. The effectiveness of the proposed pitch control system is validated by building an H-type VAWT prototype model that is extensively tested outdoors under different conditions for both fixed and variable pitch angle configurations. Results demonstrated that the blade-pitching technique enhanced the power output of an H-type VAWT by approximately 22%. The hybrid controller that used a high percentage of the MLP-ANN controller achieved a better control performance by reducing the overshoot of the control response at high rotor speeds.

The Fuzzy Decoupling Control of the Electric Vehicle Steering and Speed Systems

2013 ◽  
Vol 387 ◽  
pp. 284-287
Author(s):  
Guo Li ◽  
Yan Sun
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Decoupling Control ◽  
Control Problems ◽  
Vehicle Speed ◽  
Steering Control ◽  
Fuzzy Pid Controller ◽  
Coupled Effect

Based on the electric vehicle steering and speed models, this paper discussed the control problems of the electric vehicle steering and speed systems. Firstly, the electric vehicle speed control system is designed using the fuzzy PID controller. Then the electric vehicle steering controller is a fuzzy controller. Due to the coupled effect of speed in the steering control system, designing a fuzzy decoupling controller, reducing the coupled effect of speed, in order to control the system of steering model and speed model independently, and to achieve the purpose of decoupling. Finally, the result of simulation proves that no matter how speed changes, steering control system still has good tracking performance with decoupling controller. The systemic robustness is much stronger and it also enhances the utility of the control system.

Pitch Control for Smoothing Doubly Fed Induction Generator Rotor-Side Power Fluctuations

2013 ◽  
Vol 732-733 ◽  
pp. 1110-1114
Author(s):  
Qiang Tian ◽  
Xiao Lan Wang
Keyword(s):  
Control Strategy ◽  
Pitch Angle ◽  
Pid Controller ◽  
Active Power ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Matlab Simulation ◽  
Pitch Control ◽  
Power Fluctuations ◽  
Doubly Fed

Dramatic wind speed variations result in the fluctuations of output power in DFIG. This paper presents a pitch control to suppress DFIG Rotor-side active power fluctuations. Though pitch angle changes too quickly could result in generator power fluctuations, the pitch control adopts PID controller and an angle rate limiter to prevent rapid pitch angle changes. The pitch control strategy is simulated by Matlab simulation platform, and the results have shown the correctness and validity of the pitch control.

Application of Fuzzy Controller with Self-Tuning Scaling Factors for the Filling System of Counter-Gravity Casting

2012 ◽  
Vol 538-541 ◽  
pp. 1122-1129
Author(s):  
Qiang Li ◽  
Qi Tang Hao ◽  
Wan Qi Jie
Keyword(s):  
Control System ◽  
Steady State ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Mold Filling ◽  
Scaling Factors ◽  
Gravity Casting ◽  
Input And Output ◽  
Self Tuning ◽  
Tube Filling

Pressurization control system plays an important role in the process control at the stages of riser-tube filling, mold-filling, pressure-increasing and pressure maintaining in counter-gravity casting. Casting quality is affected by the precision of pressurization control system to a great extent. Input and output scaling factors of conventional fuzzy controller are static, which is hard to ensure a suitable state for various counter-gravity casting equipments. A new fuzzy controller with self-tuning scaling factors has been developed in our laboratory, which will be described in this paper. Input and output scaling factors of fuzzy controller are tuned by different error ranges. When the differential pressure error is large, output scaling factor is increased to speed up dynamic response. At the same time, input scaling factors are also increased in order to reduce steady state error. Compared to fuzzy controller and conventional PID controller, fuzzy-PID controller with self-tuning scaling factors has more steady-state precision and excellent robustness. Experimental results show that at riser-tube filling stage and mold-filling stage the gas flow is stable, and the tracking property of pressurization control system is very satisfactory.

The Modeling and Simulation of Wind Turbines and the Design of Pitch Control System

2011 ◽  
Vol 347-353 ◽  
pp. 2323-2329
Author(s):  
Zhi Chao Lan ◽  
Lin Tao Hu ◽  
Yin Xue ◽  
De Liang Zen
Keyword(s):  
Control System ◽  
Wind Speed ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Pitch Angle ◽  
Active Power ◽  
Internal Model Control ◽  
Pitch Control ◽  
Constant Pitch ◽  
Model Control

An increasing number of large wind turbines with a variable-speed variable pitch control mechanism are developed to improve the response speed of wind turbines and get maximum active power .Designing a reasonable pitch control system requires both a good control scheme and a more accurate wind turbine model. Base on the analysis of wind turbines’ principle, a local linearization model of wind turbine is built by using linearization method of small deviation in this paper. The model’s inputs are the data of wind speed and pitch angle, and the output is the active power. The accuracy of the model is verified by studying the active power output of wind turbine under different circumstances in which the pitch angle changes with a constant wind speed and the wind speed changes with a constant pitch angle. At the same time, this paper provides pitch control program based on internal model control after analyzing the disadvantages of PID pitch controller. When the wind speed is beyond the rating, the active power can be limited reasonably around the power rating of wind turbines by adjusting the pitch angle.

Study on Fuzzy Immune PID Controller for Main Steam Pressure Control System in Marine Steam Power Plant

2014 ◽  
Vol 686 ◽  
pp. 89-94
Author(s):  
Peng Wang ◽  
Meng Hao ◽  
Qing Zhou Ji
Keyword(s):  
Control System ◽  
Power Plant ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Pressure Control ◽  
Steam Pressure ◽  
Steam Power ◽  
Steam Power Plant ◽  
Pressure Control System ◽  
Main Steam

The main steam pressure control system in marine steam power plant has the characteristics of time-varying, nonlinear and strong coupling. In order to get satisfactory control effect, we propose a fuzzy immune PID controller with which we can make comprehensive utilization of advantages of artificial immune, PID and fuzzy controller. We build up mathematical model of main steam pressure control system, carry out simulation and comparison. The results prove that fuzzy immune PID controller can significantly reduce the overshoot and settling time of main steam pressure. It is more effective in main steam pressure control system than PID controller.

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