| Title | Design of Self Tuning PID Controller Based on Competitional PSO |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Tousi, S. Mohamad Ali, Mostafanasab, A., Teshnehlab, M. |
| Conference Name | 2020 4th Conference on Swarm Intelligence and Evolutionary Computation (CSIEC) |
| Date Published | sep |
| Keywords | competitional PSO, composability, compositionality, control system synthesis, controller functioning, designed PID controller, general PSO method, Mathematical model, modified velocity updating formula, non-linear system, nonlinear control systems, nonlinear PID controller design task, nonlinear system PID controller design, optimal PID controller, Optimization, optimization direction, particle swarm optimisation, particle swarm optimization, particle swarm optimization-based optimization algorithm, PID controller, PID controller form, PID gains, position updating formula, PSO, pubcrawl, running game, running match, searching process, self tuning PID controller, self-adjusting systems, simulation, Sociology, Statistics, swarm intelligence, Task Analysis, three-term control, velocity calculating |
| Abstract | In this work, a new particle swarm optimization (PSO)-based optimization algorithm, and the idea of a running match is introduced and employed in a non-linear system PID controller design. This algorithm aims to modify the formula of velocity calculating of the general PSO method to increase the diversity of the searching process. In this process of designing an optimal PID controller for a non-linear system, the three gains of the PID controller form a particle, which is a parameter vector and will be updated iteratively. Many of those particles then form a population. To reach the PID gains which are optimum, using modified velocity updating formula and position updating formula, the position of all particles of the population will be moved into the optimization direction. In the meanwhile, an objective function may be minimized as the performance of the controller get improved. To corroborate the controller functioning of this method, a non-linear system known as inverted pendulum will be controlled by the designed PID controller. The results confirm that the new method can show excellent performance in the non-linear PID controller design task. |
| DOI | 10.1109/CSIEC49655.2020.9237318 |
| Citation Key | tousi_design_2020 |
Design of Self Tuning PID Controller Based on Competitional PSO