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A Conformal Mapping Based Fractional Order Approach for Sub-optimal Tuning of PID Controllers with Guaranteed Dominant Pole Placement [PDF]

open access: yes, 2012
A novel conformal mapping based Fractional Order (FO) methodology is developed in this paper for tuning existing classical (Integer Order) Proportional Integral Derivative (PID) controllers especially for sluggish and oscillatory second order systems ...
Das, Saptarshi   +3 more
core   +2 more sources

FPGA Based Modified Fuzzy PID Controller for Pitch Angle of Bench-top Helicopter [PDF]

open access: yesIraqi Journal for Electrical and Electronic Engineering, 2012
Fuzzy PID controller design is still a complex task due to the involvement of a large number of parameters in defining the fuzzy rule base. To reduce the huge number of fuzzy rules required in the normal design for fuzzy PID controller, the fuzzy PID ...
A.A. Aldair
doaj  

A Particle Swarm Optimization (PSO) Based Optimum of Tuning PID Controller for a Separately Excited DC Motor (SEDM) [PDF]

open access: yesEngineering and Technology Journal, 2011
The PID algorithm is the most popular feedback controller used within the process industries. It is robust easily understood algorithm that can provide excellent control performance despite the varied dynamic characteristics of process plant.
Alia J. Mohammed
doaj   +1 more source

The effect of an evolutionary algorithm's rapid convergence on improving DC motor response using a PID controller

open access: yesScientific African, 2022
Mobile robots experience a lot of challenges with path tracking because of the significant problem with DC motor speed control. The particle swarm optimization (PSO) tuned proportional integral derivative (PID) controller is commonly used to control DC ...
Oluwaseun Opeyemi Martins   +4 more
doaj   +1 more source

Novel fuzzy logic controllers with self-tuning capability [PDF]

open access: yes, 2009
Two controllers which extend the PD+I fuzzy logic controller to deal with the plant having time varying nonlinear dynamics are proposed. The adaptation ability of the first self tuning PD+I fuzzy logic controller (STPD+I_31) is achieved by adjusting the ...
Lotfi, A, Teng, FC, Tsoi, AC
core   +1 more source

Hardware-in-the-loop tuning of a feedback controller for a buck converter using a GA [PDF]

open access: yes, 2008
This paper presents a methodology for tuning a PID-based feedback controller for a buck converter using the ITAE controller performance index. The controller parameters are optimized to ensure that a reasonable transient response can be achieved whilst ...
Bingham, C. M.   +3 more
core   +1 more source

Applications of Fuzzy adaptive PID control in the thermal power plant denitration liquid ammonia evaporation

open access: yesMATEC Web of Conferences, 2016
For the control of the liquid level of liquid ammonia in thermal power plant’s ammonia vaporization room, traditional PID controller parameter tuning is difficult to adapt to complex control systems, the setting of the traditional PID controller ...
Li Jing   +3 more
doaj   +1 more source

MIMO nonlinear PID predictive controller [PDF]

open access: yes, 2002
A class of nonlinear generalised predictive controllers (NGPC) is derived for multi-input multi-output (MIMO) nonlinear systems with offset or steady-state response error.
Cameron   +7 more
core   +1 more source

Research on PID Controller of Excavator Electro-Hydraulic System Based on Improved Differential Evolution

open access: yesMachines, 2023
An electrical hydraulic control system (electro-hydraulic system) is thought to be a key component in excavator operation systems. Control methods with fixed parameters may not yield optimal system performances because a hydraulic system has various ...
Wei Ma   +4 more
doaj   +1 more source

Understanding and Design of an Arduino-based PID Controller [PDF]

open access: yes, 2016
This thesis presents research and design of a Proportional, Integral, and Derivative (PID) controller that uses a microcontroller (Arduino) platform. The research part discusses the structure of a PID algorithm with some motivating work already performed
Bista, Dinesh
core   +1 more source

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