scholarly journals Influence of the Selected Indicators on the Parameters of the Control Signal in the System with the PID Controller

2019 ◽  
Vol 23 (1) ◽  
pp. 31-42
Author(s):  
Maciej Pawliński ◽  
Sebastian Plamowski ◽  
Paweł Domański
Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 282
Author(s):  
Jarosław Knaga ◽  
Stanisław Lis ◽  
Sławomir Kurpaska ◽  
Piotr Łyszczarz ◽  
Marcin Tomasik

In this work, the possibility of limiting energy consumption in the manufacturing process of bioethanol to obtain biofuel was analysed. For this purpose, a control algorithm has been optimised while retaining the good quality of the control signals. New in this study is the correlation of the control algorithm not only with the signal’s quality, but also with the energy consumption in such an energy-intensive process as rectification. The rectification process in a periodic production system has been researched. The process was modelled on a test station with the distillation mixture capacity of 25 dm3. For the optimization, the following control algorithms have been applied: relay, PID and PID after modification to I-PD. The simulation was carried out on a transfer function model of the plant that has been verified on a real object, a rectification column. The simulations of energy consumption and control signal’s quality have been carried out in the Matlab®-Simulink environment after implementing the model of the research subject and control algorithms. In the simulation process, an interference signal with an amplitude of 3% and frequency of 2 mHz was used. The executed analyses of the control signal quality and the influence of the control algorithm on the energy consumption has shown some essential mutual relationships. The lowest energy consumption in the rectification process can be achieved using the I-PD controller—however, the signal quality deteriorates. The energy savings are slightly lower while using the PID controller, but the control signal quality improves significantly. From a practical point of view, in the considered problem the best control solution is the classic PID controller—the obtained energy effect was only slightly lower while retaining the good quality of the control signals.


2018 ◽  
Vol 6 (1) ◽  
pp. 1-12
Author(s):  
Abdalla Milad Faraj ◽  
Abdulgani Albagul ◽  
Muhammad Abdulla Muhammed

2011 ◽  
Vol 109 ◽  
pp. 333-339 ◽  
Author(s):  
Ali Fayazi

In this paper, an adaptive fractional-order controller has been designed for synchronization of chaotic fractional-order systems. This controller is a fractional PID controller, which the coefficients will be tuned according to a proper adaptation mechanism. PID coefficients are updated using the gradient method when a proper sliding surface is chosen. To illustrate the effectiveness and performance of the controller, the proposed controller implements on a pair of topologically inequivalent chaotic fractional-order systems. The Genesio-Tessi and Coullet systems. Performance of fractional-order adaptive PID controller (PαIλDμ) on the basis of speed of synchronization, error of synchronization, and level of control signal, is compared with the conventional ones (adaptive PID controller) and sliding mod controller (SMC). The simulation results reducing the level of control signal indicate the significance of the proposed controller.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Zhihuai Xiao ◽  
Suili Meng ◽  
Na Lu ◽  
O. P. Malik

The hydroturbine generator regulating system can be considered as one system synthetically integrating water, machine, and electricity. It is a complex and nonlinear system, and its configuration and parameters are time-dependent. A one-step-ahead predictive control based on on-line trained neural networks (NNs) for hydroturbine governor with variation in gate position is described in this paper. The proposed control algorithm consists of a one-step-ahead neuropredictor that tracks the dynamic characteristics of the plant and predicts its output and a neurocontroller to generate the optimal control signal. The weights of two NNs, initially trained off-line, are updated on-line according to the scalar error. The proposed controller can thus track operating conditions in real-time and produce the optimal control signal over the wide operating range. Only the inputs and outputs of the generator are measured and there is no need to determine the other states of the generator. Simulations have been performed with varying operating conditions and different disturbances to compare the performance of the proposed controller with that of a conventional PID controller and validate the feasibility of the proposed approach.


2012 ◽  
Vol 433-440 ◽  
pp. 4254-4261 ◽  
Author(s):  
Qing Bo Meng ◽  
Yi Xin Yin ◽  
Gui Ling Qiao

To tune PID controller’s parameters, the algorithm based on the Data-Model of Controlled plant is presented. With input and output data, Data Model as well as the feature data of controlled plant is identified by the Convolution Equation, and then the fastest control signal referenced to ideal fastest response is calculated according to the constraint condition of control signal. Finally, the closed loop control system of the controlled plant is designed, and the PID parameters are identified by the Least-Squares-Method (LSM) with the data of the fastest control signal.


2020 ◽  
Vol 9 (1) ◽  
pp. 2545-2550

A UAV is an avion which fly without a human pilot which can be controlled by autopilot hardware. In this work, a type of aerial vehicle called quadcopter is considered which is very agile and unstable. A helicopter can be lifted by aerodynamic principle acting upon wings but quadcopter can't lift like helicopter any one of the motor failure or speed of the four motor mismatches will lead to a severe accident. As a result, it’s highly challenging for a human to control the flying quadcopter by controlling every motor directly, for this reason, they move for classic piloting method to achieve extreme reaction speed and attention. The scope of this paper is to develop an autonomous quadcopter using a PID controller which has a capacity of stable flying in the air with the help of using a microcontroller-based control mechanism. That can be done by measuring Euler angles to produce a control signal to the quadcopter to control its position and velocity. The Quadcopter is designed to be small enough so that cost would be minimized.


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