Improved Control Design for AGC of Two Area Thermal-Thermal Power System Using Hybrid Fuzzy-PID Control

2021 ◽  
pp. 753-762
Author(s):  
Subash Chandra Parida ◽  
V. K. Tayal ◽  
S. K. Sinha
Keyword(s):  
Power System ◽  
Pid Control ◽  
Thermal Power ◽  
Control Design ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Thermal Power System ◽  
Hybrid Fuzzy Pid

Hybrid Fuzzy PID Control of Hydraulic Robot

2002 ◽  
Author(s):  
Rong Liu ◽  
Xuanyin Wang ◽  
Xuchu Huang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Nonlinear Differential Equations ◽  
Target Position ◽  
Hydraulic Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Linear Control Theory ◽  
Uncertain Dynamics ◽  
Hybrid Fuzzy Pid

This paper presents a fuzzy tracking control methodology for hydraulic control system of robot with generalized pulse modulation (GPCM) control by combining the merits of fuzzy logic and conventional linear control theory. The hydraulic control systems with GPCM control have the high nonlinearity and uncertain dynamics, therefore the simple linear or nonlinear differential equations cannot sufficiently represent corresponding practical system. The designed controllers based on the model cannot guarantee the good performance such as stability and robustness. A hybrid of fuzzy and PID control algorithm is proposed as the solution. The control algorithm is separated into two parts: fuzzy control and PID control. The fuzzy controller is used to control the piston when the piston is near the desired position, and PID controller is applied when the piston is far away the target position. The hybrid fuzzy PID is implemented on computer and applied to control the arms of hydraulic robot with GPCM control. The results from the experiments show that the proposed hybrid fuzzy PID control has good performance.

scholarly journals Application of Fuzzy-PIDF Controller for AGC of A Two-Area Interconnected Thermal Power System under Deregulated Environment

2019 ◽  
Vol 8 (6) ◽  
pp. 3341-3352
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Power Flow ◽  
Thermal Power ◽  
Automatic Generation ◽  
Fuzzy Pid ◽  
Comparative Performance ◽  
Fuzzy Pid Controller ◽  
Thermal Power System ◽  
Derivative Filter

This paper presents the application of fuzzy PID controller and fuzzy PID controller aided with derivative filter (fuzzy PIDF) to analyse the automatic generation control (AGC) issue of a two-area interconnected multi-unit thermal power system having reheat type turbine under deregulated market scenario. This paper, demonstrates the traditional AGC of two-area power system modified under different transactions like as POOLCO based transaction, transaction under bilateral agreement and contract violation transaction to study the system dynamics. Hybrid LUS (Local Unimodal Sampling) and TLBO (Teaching Learning Based Optimization) (LUS-TLBO) technique is proposed to optimize the input and output scaling factors i.e. gains of fuzzy PID controller and gains & filter co-efficient of the derivative filter of the proposed fuzzy PIDF controller under different transactions in the competing market. Comparative performance analysis is carried out to show the supremacy of the proposed fuzzy PIDF controller against proposed fuzzy PID controller and a recently published work on integral controller with Interline Power Flow Controller (IPFC) and Redox Flow batteries (RFB) units.

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