2018 IEEE 8th Power India International Conference (PIICON) 2018
DOI: 10.1109/poweri.2018.8704403
|View full text |Cite
|
Sign up to set email alerts
|

Simultaneous control of position and vibration of flexible link manipulator by nature-inspired algorithms

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
4
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 12 publications
0
4
0
Order By: Relevance
“…In the dynamic modeling of flexible arm, the main literature at home and abroad includes the vector mechanics method based on Newton-ruler equation, the dynamics method based on Kane equation and the dynamics method based on Lagrange equation [6].…”
Section: Research Background and Significancementioning
confidence: 99%
“…In the dynamic modeling of flexible arm, the main literature at home and abroad includes the vector mechanics method based on Newton-ruler equation, the dynamics method based on Kane equation and the dynamics method based on Lagrange equation [6].…”
Section: Research Background and Significancementioning
confidence: 99%
“…Moreover, model parameters may need tuning, even if model identification has been made. Different methods for tuning FLM controller gains include the Ziegler-Nichols method (Mohamed et al, 2016;Agrawal et al, 2020), LMI approach (Mohamed et al, 2016), dynamic particle swarm optimization method (Agrawal et al, 2020), self-tuning method using the artificial neural network (Njeri et al, 2019), self-tuning method based on nonlinear autoregressive moving average with exogenous-input (NARMAX) model of the FLM (Pradhan and Subudhi, 2020), soft computing based tuning method (Singh and Ohri, 2018), and selftuning method based on generalized minimum variance . Compared to the standard Ziegler-Nichols tuning method, the recent self-tuning methods have shown superior performance in the control of FLMs (Agrawal et al, 2020).…”
Section: Control Of Flmsmentioning
confidence: 99%
“…They reported the superior performance of the PIDD 2 controller through simulation. Singh and Ohri (2018) presented a comparative study of different nature-inspired soft computing based PID control tuning strategies, including genetic algorithm, ant colony optimization, and particle swarm op-timization for the position and vibration control of a single-link flexible manipulator. Pradhan and Subudhi (2020) proposed a nonlinear self-tuning PID controller to control the joint position and link deflection of the FLM subjected to varying payloads.…”
Section: Model-free Control Techniquesmentioning
confidence: 99%
See 1 more Smart Citation