Performance of the optimal nonlinear pid controller for position control of antenna azimuth position system
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Bibliographic record
Abstract
This study presents the improvement in the performance of the Proportional-integral-derivative (PID) controller for position control of antenna azimuth position system subjected to external disturbance. The design of the PID controller is developed by adding the arc tan function of error instead of the direct error in an integral part of the PID controller, yielding a Nonlinear PID controller (NPID). A Particle Swarm Optimization (PSO) is used in this study to tune the parameters of the PID and NPID controllers using the Root Mean Square Error (RMSE) cost function. The simulations have been accomplished under the MATLAB/Simulink environment. The simulation results show that a PSO-based NPID controller provides superior steady and transient state performance compared to a PSO-based PID controller. In addition, the effectiveness of the proposed controller is verified via numerical simulation compared to the performance of other controllers with and without external disturbance.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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