Hardware Implementation of Fuzzy PID Controllers

2006 ◽  
Vol 5 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Taifu Li ◽  
Jundi Xiong ◽  
Rui Zhang ◽  
Qifu Tan ◽  
Ruizheng Xu
Keyword(s):  
Hardware Implementation ◽  
Pid Controllers ◽  
Fuzzy Pid

Grasshopper Algorithm Optimized Fractional Order Fuzzy PID Frequency Controller for Hybrid Power Systems

2019 ◽  
Vol 12 (6) ◽  
pp. 519-531
Author(s):  
Deepak Kumar Lal ◽  
Ajit Kumar Barisal
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fractional Order ◽  
Pid Controller ◽  
Load Frequency Control ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Hybrid Power ◽  
Increasing Demand

Background: Due to the increasing demand for the electrical power and limitations of conventional energy to produce electricity. Methods: Now the Microgrid (MG) system based on alternative energy sources are used to provide electrical energy to fulfill the increasing demand. The power system frequency deviates from its nominal value when the generation differs the load demand. The paper presents, Load Frequency Control (LFC) of a hybrid power structure consisting of a reheat turbine thermal unit, hydropower generation unit and Distributed Generation (DG) resources. Results: The execution of the proposed fractional order Fuzzy proportional-integral-derivative (FO Fuzzy PID) controller is explored by comparing the results with different types of controllers such as PID, fractional order PID (FOPID) and Fuzzy PID controllers. The controller parameters are optimized with a novel application of Grasshopper Optimization Algorithm (GOA). The robustness of the proposed FO Fuzzy PID controller towards different loading, Step Load Perturbations (SLP) and random step change of wind power is tested. Further, the study is extended to an AC microgrid integrated three region thermal power systems. Conclusion: The performed time domain simulations results demonstrate the effectiveness of the proposed FO Fuzzy PID controller and show that it has better performance than that of PID, FOPID and Fuzzy PID controllers. The suggested approach is reached out to the more practical multi-region power system. Thus, the worthiness and adequacy of the proposed technique are verified effectively.

scholarly journals Proposal of a Decoupled Structure of Fuzzy-PID Controllers Applied to the Position Control in a Planar CDPR

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 745
Author(s):  
Marco Carpio ◽  
Roque Saltaren ◽  
Julio Viola ◽  
Cristian Calderon ◽  
Juan Guerra
Keyword(s):  
Position Control ◽  
Control Structure ◽  
Parallel Robot ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
End Effector ◽  
Robot Systems ◽  
Decoupled Control ◽  
The Mathematical Model ◽  
Decoupled Structure

The design of robot systems controlled by cables can be relatively difficult when it is approached from the mathematical model of the mechanism, considering that its approach involves non-linearities associated with different components, such as cables and pulleys. In this work, a simple and practical decoupled control structure proposal that requires practically no mathematical analysis was developed for the position control of a planar cable-driven parallel robot (CDPR). This structure was implemented using non-linear fuzzy PID and classic PID controllers, allowing performance comparisons to be established. For the development of this research, first the structure of the control system was proposed, based on an analysis of the cables involved in the movement of the end-effector (EE) of the robot when they act independently for each axis. Then a tuning of rules was carried out for fuzzy PID controllers, and Ziegler–Nichols tuning was applied to classic PID controllers. Finally, simulations were performed in MATLAB with the Simulink and Simscape tools. The results obtained allowed us to observe the effectiveness of the proposed structure, with noticeably better performance obtained from the fuzzy PID controllers.

Analytical Structures for Fuzzy PID Controllers?

2008 ◽  
Vol 16 (1) ◽  
pp. 52-60 ◽  
Author(s):  
B. M. Mohan ◽  
Arpita Sinha
Keyword(s):  
Pid Controllers ◽  
Fuzzy Pid

Improving Vegas Algorithm Using PID and Fuzzy PID Controllers

2006 ◽  
pp. 765-775
Author(s):  
Aria Shahingohar ◽  
Mohammad Bagher Menhaj ◽  
Mehdi Karrari ◽  
Mohammad Hossein Yaghamae
Keyword(s):  
Pid Controllers ◽  
Fuzzy Pid

Designed of Wireless Intellectualized Temperature Control System in Tobacco Preserve Based on Fuzzy-PID

2013 ◽  
Vol 416-417 ◽  
pp. 890-894
Author(s):  
Xiao Hui Guo
Keyword(s):  
Temperature Control ◽  
Control Method ◽  
Control Function ◽  
Temperature Control System ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Single Chip ◽  
Control Effect ◽  
Set Up ◽  
The Individual

Tobacco Warehousing is chiefly applied to preserve the tobacco that is separated into leaf and stem so that the tobacco moisture is controlled at the range of technology demand.The present control method of tobacco save is that the references of every PID control link are set up and adjusted by human experience. So, the control effect varies with the individual and the output tobacco moisture can't maintain stable.The fuzzy-PID temperature system is based on CC2430 single chip. It includes the power source, the manipulative algorithm, the temperature examination , the correspondence of up PC and the output-control of the switch value and so on. Computer takes the parameter deviation and the deviation change as input, and the PID controllers parameters of ΔKp, Δki, ΔKd as output. The sub program realized the corresponding events by completing zone bit and zone bit judgment. The main program realized temperature control function by calling the wireless micro-controller sends a signal to the charged unit

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