scholarly journals Precision contouring control of five degree of freedom robot manipulators with uncertainty

2016 ◽  
Vol 14 (1) ◽  
pp. 172988141668270 ◽  
Author(s):  
Thanana Nuchkrua ◽  
Shyh-Leh Chen
Keyword(s):  
Pid Controller ◽  
Robot Manipulators ◽  
Operating Conditions ◽  
Degree Of Freedom ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Excellent Performance ◽  
Fuzzy Pid Controller ◽  
Contouring Control

In this article, we apply a result in equivalent errors to a contouring control problem of five degree of freedom robot manipulators. The proposed technique, fuzzy Proportional Integral Derivative (PID) with the robust extended Kalman filter, is employed to stabilize the dynamic of equivalent errors of robot manipulators. The shape of membership functions and rules of fuzzy PID controller are tuned following operating conditions that make the control performance to improve significantly. A desired path in terms of the position of the end-effector of the robot manipulators is described in generalized coordinates defined by the dynamic of equivalent. The simulation and experimental results demonstrate the excellent performance of the proposed technique.

A Fuzzy PID Controller for Induction Heating Systems with LLC Voltage Source Inverter

2017 ◽  
Vol 8 (3) ◽  
pp. 1168
Author(s):  
Arijit Chakrabarti ◽  
Pradip Kumar Sadhu ◽  
Avijit Chakraborty ◽  
Palash Pal
Keyword(s):  
Induction Heating ◽  
Pid Controller ◽  
Research Work ◽  
Voltage Source ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Voltage Source Inverter ◽  
Heating Systems ◽  
Fuzzy Pid Controller

<span>The Proportional-Integral-Derivative (PID) controller is the most popular control strategy in the process industry. The popularity can be attributed to its simplicity, better control performance and excellent robustness to uncertainties that is found through the research work on such controllers so far. This paper presents the design and tuning of a PID controller using Fuzzy logic for industrial induction heating systems with LLC voltage source inverter for controlling the induction heating power. The paper also compares the performance of the Fuzzy PID controller with that of a conventional PID controller for the same system. The system and the controllers are simulated in MATLAB/SIMULINK. The results show the effectiveness and superiority of the proposed Fuzzy PID controller.</span>

Application of Fuzzy PID Control in Sluice Control

2012 ◽  
Vol 241-244 ◽  
pp. 1248-1254
Author(s):  
Feng Chen Huang ◽  
Hui Feng ◽  
Zhen Li Ma ◽  
Xin Hui Yin ◽  
Xue Wen Wu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Information Integration ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Self Tuning

Fuzzy control, based on traditional Proportional-Integral-Derivative (PID) control, is used to improve the management of a hydro-junction’s sluice scheduling. In this study, we combined the PID and Fuzzy control theories and determined the PID parameters of the fuzzy self-tuning method of a hydro-junction’s sluice. A fuzzy self-tuning PID controller and its algorithm were designed. In hydro-junction sluice control, the Fuzzy PID controller can modify PID parameters in real-time, resulting in a more dynamic response. The application of the fuzzy self-tuning PID controller in the CiHuai River project information integration system yielded very good results.

scholarly journals An Optimal Fuzzy PID Controller Design Based on Conventional PID Control and Nonlinear Factors

2019 ◽  
Vol 9 (6) ◽  
pp. 1224 ◽  
Author(s):  
Chun-Tang Chao ◽  
Nana Sutarna ◽  
Juing-Shian Chiou ◽  
Chi-Jo Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Controller Design ◽  
Pid Controllers ◽  
Initial Population ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Logic Controllers ◽  
Fuzzy Pid Controller ◽  
Pid Controller Design

This paper proposes an optimal fuzzy proportional–integral–derivative (PID) controller design based on conventional PID control and nonlinear factors. With the equivalence between fuzzy logic controllers (FLCs) and conventional PID controllers, a conventional PID controller design can be rapidly transformed into an equivalent FLC by defining the operating ranges of the input/output of the controller. The proposed nonlinear factors can further tune the nonlinearity of the membership functions (MFs) distributed in the operating ranges. In this manner, a fuzzy PID controller can be developed with less parameters and optimized by using the genetic algorithm (GA). In addition, the aforementioned equivalent FLC can act as one individual in the initial population of GA, and significantly enhances the GA efficiency. Simulation results demonstrate the feasibility of this technique. This resulted in an optimal fuzzy PID controller design with only eight parameters with a concise controller structure, and most importantly, the optimal fuzzy PID controller design is now more systematic.

Multiple Models Fuzzy PID Controller Design in Ship Power System

2014 ◽  
Vol 672-674 ◽  
pp. 1558-1561
Author(s):  
Hang Jiang ◽  
Xin Wang ◽  
Li Ming Wang
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Operating Conditions ◽  
Multiple Models ◽  
Multiple Model ◽  
Fuzzy Pid ◽  
Operation Condition ◽  
Fuzzy Pid Controller ◽  
Regulation Model ◽  
Ship Power System

The ship power system is a complex system with time varying, nonlinear and strong coupling characters. The traditional PID controller is difficult to meet the requirements of the system.In this paper, a multiple models fuzzy PID controller is designed. Considering the different operating conditions of on-land ship power system, two excitation regulation model which respectively corresponds to a fuzzy PID controller are set up. Each time, based on the input operation condition tested, only one fuzzy PID Controller is chosen to improve the control precision. At the end, simulation results show that multiple model fuzzy PID controller is superior to the single fuzzy PID controller, which effectively improves the transient response of the system, the steady state accuracy and robustness, having good prospects for engineering applications.

scholarly journals The fuzzy-PID based-pitch angle controller for small-scale wind turbine

2020 ◽  
Vol 11 (1) ◽  
pp. 135
Author(s):  
Quang-Vi Ngo ◽  
Chai Yi ◽  
Trong-Thang Nguyen
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Small Scale ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Controller

<p>This paper aims to design the pitch angle control based on proportional–integral–derivative (PID) controller combined with fuzzy logic for small-scale wind turbine systems. In this control system, the pitch angle is controlled by the PID controller with their parameter is tuned by the fuzzy logic controller. This control system can compensate for the nonlinear characteristic of the pitch angle and wind speed. A comparison between the fuzzy-PID-controller with the conventional PID controller is carried out. The effectiveness of the method is determined by the simulation results of a small wind turbine using a permanent magnet generator (PMSG).</p>

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