Application of artificial bee colony algorithm to auto-tuning of linear-quadratic regulator for PMSM position control

2016 ◽  
Vol 1 (6) ◽  
pp. 59-64 ◽  
Author(s):  
Tomasz TARCZEWSKI
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Position Control ◽  
Linear Quadratic Regulator ◽  
Linear Quadratic ◽  
Bee Colony ◽  
Auto Tuning

scholarly journals Improved Artificial Bee Colony Algorithm and Its Application in LQR Controller Optimization

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Haiquan Wang ◽  
Lei Liao ◽  
Dongyun Wang ◽  
Shengjun Wen ◽  
Mingcong Deng
Keyword(s):  
Artificial Bee Colony ◽  
Linear Quadratic Regulator ◽  
Food Sources ◽  
Linear Quadratic ◽  
Pendulum System ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Inverted Pendulum System ◽  
Fitness Value ◽  
Lqr Controller

In order to get the optimal performance of controller and improve the design efficiency, artificial bee colony (ABC) algorithm as a metaheuristic approach which is inspired by the collective foraging behavior of honey bee swarms is considered for optimal linear quadratic regulator (LQR) design in this paper. Furthermore, for accelerating the convergence speed and enhancing the diversities of population of the traditional ABC algorithm, improved solution searching approach is proposed creatively. The proposed approach refers to the procedure of differential mutation in differential evolutionary (DE) algorithm and produces uniform distributed food sources in employed bee phase to avoid local optimal solution. Meanwhile, during the onlooker bees searching stage where the solution search area has been narrowed by employed bees, new solutions are generated around the solution with higher fitness value to keep the fitness values increasing monotonously. The improved ABC algorithm is applied to the optimization of LQR controller for the circular-rail double inverted pendulum system, and the simulation results show the effect on the proposed optimization problem.

Optimum control of a flexible single link manipulator with Artificial Bee Colony Algorithm

2021 ◽  
pp. 095440622110454
Author(s):  
Sezgin Eser ◽  
Sevda Telli Çetin
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Position Control ◽  
Sampling Period ◽  
Flexible Manipulator ◽  
Assumed Mode Method ◽  
Bee Colony ◽  
Single Link ◽  
Control Objective ◽  
Torque Values

This paper presents a stable control for a single link flexible manipulator. The flexible manipulator is considered as Euler–Bernoulli beam, and its dynamic model is developed based on assumed mode method. Position and vibration control are realised with a single controller as motor torque. The controller has three parameters that must be selected. In this paper, the main motivation is to find the suitable parameter values to generate optimum torque values in every sampling time. In order to achieve this goal, Artificial Bee Colony Algorithm is performed, and the controller parameters are optimised simultaneously in every sampling period. Simulations verify that the manipulator achieves the position control objective, and the vibration is suppressed simultaneously even with different payloads with the proposed optimisation method.

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