Comparison Of Traditional Thermal And Intelligent Controllers In Fusion With Neural Networks For Regulation Of Robotic Manipulator
DOI:
https://doi.org/10.48047/s6vyjp85Keywords:
Traditional controllers, Intelligent Techniques, non-linearity, neural network controller, fuzzy logicAbstract
Since the 1950s, scientists have faced an immense challenge in managing robotic systems. The Proportional Integral-Derivative (PID) controller was the industry standard for controlling complex structures in the early days. Nevertheless, fuzzy logic controllers emerged as a result of the inadequacy of PID controllers for nonlinear systems. Researchers continued to pursue more effective control techniques, despite the fact that these controllers offered a viable solution for nonlinear systems. One such technique that emerged as a promising solution was the neurologic controller.
Downloads
References
Acharya, D., & Das, D. K. (2021). Swarm optimization approach to design pid controller for artificially ventilated human respiratory system. Computer Methods and Programs in Biomedicine, 198, 105776.
George, Thomas, and V. Ganesan. "Advanced cuttlefish optimizer-random decision forest (ACORDF) based design of fractional order PID controller for higher-order time-delay system." Journal of Engineering, Design and Technology (2021)..
Guo, B., Zhuang, Z., Pan, J. S., & Chu, S. C. (2021). Optimal design and simulation for PID controller using fractional-order fish migration optimization algorithm. IEEE Access, 9, 8808-8819.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
