Proceedings ArticleDOI
On-line PID controller tuning using genetic algorithm and DSP PC board
P. Fabijanski,R. Lagoda +1 more
- pp 2087-2090
TLDR
PID settings are optimized in real time by using genetic algorithm and are compared with generally accepted quality indicators for control systems like rise time, % overshoot and settling time of step response or such coefficient.Abstract:
In this paper we uses a software pack, which allows to adjust PID controller automatically in real time way in the case of changes parameters of used object. PID settings are optimized in real time by using genetic algorithm and are compared with generally accepted quality indicators for control systems like rise time, % overshoot and settling time of step response or such coefficient like oscillations frequency, reduced damping and gain of second order object. A digital signal processor (DSP) is a specialized microprocessor designed specifically for digital signal processing generally in real time applications requiring high computation. The simulation results were verified by some laboratory test.read more
Citations
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Journal Article
Auto Tuning PID Controller based on Improved Genetic Algorithm for Reverse Osmosis Plant
TL;DR: An optimal control of Reverse Osmosis (RO) plant is studied in this paper utilizing the auto tuning concept in conjunction with PID controller and newly designed hybrid random generator composed of Cauchy distribution and linear congruential generator.
Journal ArticleDOI
Optimal Coordination of a Multiple HVDC Link System Using Centralized and Distributed Control
TL;DR: A frequency control scheme based on classical proportional-integral-derivative controllers is proposed and optimally tuned offline using particle swarm optimization, illustrating the potential of distributed MPC for use in future power networks.
Journal ArticleDOI
Tuning PID controllers for higher-order oscillatory systems with improved performance.
TL;DR: Model based design of PID controllers is proposed for higher-order oscillatory systems and the tuning of the PID parameters are obtained from a reduced third-order model; the procedure seems to be simple and effective, and improved performance of the overall system can be achieved.
Proceedings ArticleDOI
Fractional-Order PID Controller Design for Speed Control of DC Motor
TL;DR: In this paper, the parameters of the FOPID controller are optimally learned by using Genetic Algorithm (GA), and the optimization performance target is chosen as the integral of the absolute error (IAE).
Journal ArticleDOI
Neural–Genetic Synthesis for State-Space Controllers Based on Linear Quadratic Regulator Design for Eigenstructure Assignment
TL;DR: A neural-genetic model based on the linear quadratic regulator design for the eigenstructure assignment of multivariable dynamic systems is presented, which represents a fusion of a genetic algorithm and a recurrent neural network to perform the selection of the weighting matrices and the Riccati equation solution.
References
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Journal ArticleDOI
Genetic tuning of digital PID controllers
B. Porter,A.H. Jones +1 more
TL;DR: The techniques of genetic algorithms are proposed as an alternative means of tuning digital PID controllers for complex multivariable plants with highly interactive dynamics.
A genetically tuned optimal PID controller
TL;DR: In this article, an optimal PID controller is proposed to adjust the parameters of the controller a fitness function in terms of transient, steady state parts of response and control energy characteristics of system is introduced.
Proceedings ArticleDOI
Completely digital PMSM servo system based on new self-tuning PID algorithm and DSP
TL;DR: This paper describes a high performance fully digital implementation of a permanent magnet synchronous motor (PMSM) servo system controlled by an INTEL 8031 microprocessor and a TMS320C25 DSP chip that is capable of precision of control action, dynamic response and flexibility, even when the system parameters are varied.