2016
DOI: 10.21595/jve.2016.16787
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Tuning of LQR controller for an experimental inverted pendulum system based on The Bees Algorithm

Abstract: Stabilizing of an inverted pendulum (IP) system is a main problem for researchers working on control theory. Balancing of an inverted pendulum system is one of the major benchmark problems in the control system community. This paper presents optimal tuning of linear quadratic regulator (LQR) controller with The Bees Algorithm (BA) for a linear inverted pendulum. In this paper, a metaheuristic approach which is a nature-inspired search method that mimics the foraging behavior of honey bees is used for design of… Show more

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Cited by 22 publications
(8 citation statements)
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“…To select appropriate BA parameters, the basic approaches and the previous studies of the authors are used. 3943 The determination of the values of the parameters in different configurations does not have a significant effect on obtaining optimal results; rather, the main purpose is to design the function in accordance with the objective function of the optimization. These parameters are generally determined by trial-and-error methods based on experience, taking into account the computing load and time.…”
Section: Optimization Of the Bamentioning
confidence: 99%
See 1 more Smart Citation
“…To select appropriate BA parameters, the basic approaches and the previous studies of the authors are used. 3943 The determination of the values of the parameters in different configurations does not have a significant effect on obtaining optimal results; rather, the main purpose is to design the function in accordance with the objective function of the optimization. These parameters are generally determined by trial-and-error methods based on experience, taking into account the computing load and time.…”
Section: Optimization Of the Bamentioning
confidence: 99%
“…Thus, even small changes in aWSS or hydraulic efficiency values act on scale to the objective function over iterations. The cost function (J) as determined based on the authors’ knowledge and achieved and described in previous papers 3943 is:…”
Section: Optimization Of the Bamentioning
confidence: 99%
“…In expansion, it is not possible to calculate nonlinear complex components logically contained within the streamlined strengths. For this reason, stochastic estimation strategies are utilized [3][4][5][6][7][8][9][10].…”
Section: F Fi Ig Gu Ur Re E 1 12mentioning
confidence: 99%
“…3,4 The control techniques for robotic systems can be classified as closed-loop (feedback) and open-loop (feed forward) control techniques. 5,6 The feedback control systems use state estimates and measurements from the physical system for precise motion control applications. Besides, feedback controllers are not good at handing residual vibrations of systems with flexible structures where the physical system is by definition required to be rigid.…”
Section: Introductionmentioning
confidence: 99%