Abstract
A Particle Swarm Optimisation (PSO) based PID controller has been proposed in this paper for a paper machine headbox. The considered headbox model has been perturbed and the proposed controller has been implemented on the perturbed model to assess the robustness of the system. The robustness of the proposed controller has been evaluated on the basis of sensitivity and complementary sensitivity functions. Sensitivity and complementary sensitivity functions provide significant insight into the system's behavior for disturbance, uncertainties, and noise (due to sensors/actuators). Hence, the controller to be designed for a given system should be concerned about these functions. Apart from these functions, worst-case sensitivity analysis has also been carried out for the perturbed headbox. The responses obtained from the proposed controller have been compared with some conventional PID tuning techniques and it is observed that the proposed controller yields better robustness.
| Original language | English |
|---|---|
| Title of host publication | 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 503-507 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728165752 |
| DOIs | |
| Publication status | Published - 02-2020 |
| Event | 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020 - Mathura, Uttar Pradesh, India Duration: 28-02-2020 → 29-02-2020 |
Publication series
| Name | 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020 |
|---|
Conference
| Conference | 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020 |
|---|---|
| Country/Territory | India |
| City | Mathura, Uttar Pradesh |
| Period | 28-02-20 → 29-02-20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems and Management
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
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