Abstract
A novel Non-Linear Fractional order PID controller (NLF-PID) is designed for control of coupled and non-linear 2-link rigid robot. The structure of proposed controller comprises of non-linear hyperbolic function of instantaneous error and current state cascaded with Fractional Order PID (FO-PID). Non-linear function provides adaptive control ability while incorporation of fractional operator enhances flexibility of designed controller. To examine the comparative merits of NLF-PID controller, Non-linear PID (NL-PID), FO-PID and traditional PID schemes are also implemented. Design variables of controllers are optimally tuned using multi objective Non-dominated Sorting Genetic Algorithm II (NSGA-II) for small variation in control and error signal. Results prove that NLF-PID provides robust and efficient control of robotic arm as compared to other designed controllers for reference tracking, model uncertainty, disturbance and noise due to inherent shortcoming of sensor.
| Original language | English |
|---|---|
| Pages (from-to) | 1467-1478 |
| Number of pages | 12 |
| Journal | Journal of Intelligent and Fuzzy Systems |
| Volume | 34 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2018 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- General Engineering
- Artificial Intelligence
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