Synthesis of LQR Controller Based on BAT Algorithm for Furuta Pendulum Stabilization DOI Open Access
Nguyen Xuan Chiem, Le Tran Thang

Journal of Robotics and Control (JRC), Journal Year: 2023, Volume and Issue: 4(5), P. 662 - 669

Published: Sept. 29, 2023

In this study, a controller design method based on the LQR and BAT algorithm is presented for Furuta pendulum stabilization system. Determine controller, it often designer's experience or using trial error to find Q, R matrices. The search characteristics of bat population in wild. However, there are advantages finding multivariate objective functions. has an improvement optimize linear square function with fast response time, low energy consumption, overshoot, small number oscillations. Swarm optimization algorithms have global extrema Therefore, large elements Q matrices, they can also be quickly found these matrices still satisfy Riccati equation. optimal parameters verified through simulation results different scenarios. performance proposed compared conventional implemented real

Language: Английский

Integrated Room Monitoring and Air Conditioning Efficiency Optimization Using ESP-12E Based Sensors and PID Control Automation: A Comprehensive Approach DOI Open Access
I Gusti Made Ngurah Desnanjaya,

Anak Agung Surya Pradhana,

I Nyoman Tri Anindia Putra

et al.

Journal of Robotics and Control (JRC), Journal Year: 2023, Volume and Issue: 4(6), P. 832 - 839

Published: Nov. 30, 2023

This study addresses the critical need for efficient room monitoring and air conditioning systems, particularly in educational settings like STMIK STIKOM Indonesia campus. The paper introduces a novel approach that combines ESP-12E based sensors with Proportional-Integral-Derivative (PID) control automation to optimize efficiency. Utilizing an microcontroller, designed implemented tool equipped DHT22 BH1750 accurate measurement of temperature, humidity, light intensity. We also explores integration PID system into existing (AC) unit. controller was fine-tuned maintain stable indoor temperature 25oCelsius, even when subjected external heat loads, such as ten LED lamps. effectiveness this quantified through real-time energy consumption, both pre- post-implementation. Results indicated rapid response from controller, achieving amplitude 1 within 0.08 seconds, thereby confirming its successful tuning adaptability. found has broader implications enhancing efficiency creating conducive learning environments. However, it is worth noting research conducted under specific conditions, further studies could explore applicability different settings.

Language: Английский

Citations

3

Design and Implementation of No Load, Constant and Variable Load for DC Servo Motor DOI Open Access
Salam Waley Shneen, Hashmia S. Dakheel, Zainab B. Abdullah

et al.

Journal of Robotics and Control (JRC), Journal Year: 2023, Volume and Issue: 4(3), P. 323 - 329

Published: May 10, 2023

Simulations were conducted to improve and design an appropriate control system obtain a model with the required development suit operation of engine constant variable loads, which are proposed working conditions that suitable for many applications. The current simulation aims build electric motor (DC Servo motor) conventional controller (PID). addresses cases fixed loads in terms using improves performance motor’s work different conditions. Three developed conduct tests, included case no-load, load. Tests conducted. Without console purpose comparison observation improvement, test was addition console. results showed may depending on usage traditional systems. Performance measurement criteria adopted improvement. rise time stability (steady state) ratio rate under over-shoot. Where it can be deduced from this possibility systems, including ones, performance, they include controlling speed motors, as well effort, consequent effects subject study, deals transient changing operating more than acceptable efficiency relatively high quality. There four state include, 1st at no load without controller: equal 309.886ms , overshoot 44.203% undershoot 9.597%.2nd 216.319ms 58.654% 0.210%.3rd PID 1.177s 0.505% 1.914%.4th 1.112s 0.509% 5.856%.

Language: Английский

Citations

3

Application of PID Control System in Mecanum Wheelchair DOI Open Access
Rawiphon Chotikunnan, Phichitphon Chotikunnan,

Nuntachai Thongpance

et al.

International Journal of Membrane Science and Technology, Journal Year: 2023, Volume and Issue: 10(3), P. 3519 - 3529

Published: Aug. 12, 2023

This research centers on the design and implementation of a control system for an electric wheelchair equipped with Mecanum wheels. The study details comprehensive methodology starting creation block diagram to guide design, hardware selection, overall implementation. incorporates power resources, input devices, energy output mechanisms, utilizing 24 VDC battery joystick 10K ohm potentiometer connected Arduino Due microcontroller. operational workflow is defined, enabling respond commands forward, left turn, right other movements. A PID employed regulate motor movement, enhancing precision. Cohen-Coon tuning method used determine controller's gain, ensuring efficient closed-loop control. Results from controller experiments under P PD are presented, demonstrating system's responses different gain values. Optimal performance observed Kp value 80 Kd 1.2, showcasing improved response speed, reduced rise time, enhanced setting lower percent overshoot. In conclusion, combined proportional derivative system, specifically = proves be effective in wheelchair's performance. provides valuable insights into precise parameter adjustments optimal applications.

Language: Английский

Citations

1

Multi-Objective Optimization of Pi Controller for Bldc Motor Speed Control and Energy Saving in Electric Vehicles: A Constrained Swarm-Based Approach DOI
Syed Naqvi, Harun Jamil, Naeem Iqbal

et al.

Published: Jan. 1, 2023

Proportional Integral Derivative (PID) controllers are widely employed in industrial applications due to their effectiveness, simplicity, and versatility. Within the automotive sector, one notable application of (PI) controller is realm electric motors, particularly Brushless Direct Current (BLDC) motors powering Electric Vehicles (EVs). The precision speed control over BLDC renowned for efficiency reliability, paramount optimizing vehicle performance ensuring energy efficiency. PID’s need be tuned each time they used an optimize its performance. A well-known empirical hit trial tuning strategy Ziegler-Nichols method, which, however, results suboptimal presence local optimal solutions large-dimensional search spaces. Existing Artificial Intelligence methods tailored PID often focus on singular optimization aspects, thereby neglecting potential gains achievable through multi-objective considerations. Furthermore, prevalent swarm based typically initialize population randomly without imposing any bounds input parameters, thus rendering them susceptible inconsistent, unreliable sub-optimal unconstrained environments. In our research endeavors, we mathematically model motor control, usage using constrained Differential Evolution Particle Swarm Optimized controllers. Ziegler- Nichols method ascertain initial PI parameters define within space. underscore superior proposed approach excellent at same minimizing consumption enhancing overall vehicles comparison benchmark methods.

Language: Английский

Citations

0

The Design of the Speed Control System of Supercharger Using Microcontroller DOI Open Access

Wiroj Khawlaor,

Kittiya Nakphan,

Phichitphon Chotikunnan

et al.

International Journal of Membrane Science and Technology, Journal Year: 2023, Volume and Issue: 10(3), P. 3499 - 3508

Published: Aug. 12, 2023

The cruise control system regulates the car's speed, focusing on simulating and assessing air compressor's speed within engine system. Comprising a microcontroller PIC30 main board, H-Bridge DC motor drive encoder, 12V motor, supercharger, PC interface with MATLAB Simulink, aims for efficient control. Simulation results showcase impact electric control, emphasizing clarity stability. study outlines distinct outcomes: 1) Deactivation of 2) Activation at 1100 rpm. 3) Operation 1200 4) Functioning 1400 Observations reveal that without compressor, struggles to rotational speed. Conversely, engaged, consistent average errors 0.63% occur across three specified speeds. setting time remains under 2 seconds. Subsequently, autonomously readjusts predefined specifications. research highlights system's effectiveness in achieving stable offering insights into its practical application automotive engineering.

Language: Английский

Citations

0

Synthesis of LQR Controller Based on BAT Algorithm for Furuta Pendulum Stabilization DOI Open Access
Nguyen Xuan Chiem, Le Tran Thang

Journal of Robotics and Control (JRC), Journal Year: 2023, Volume and Issue: 4(5), P. 662 - 669

Published: Sept. 29, 2023

In this study, a controller design method based on the LQR and BAT algorithm is presented for Furuta pendulum stabilization system. Determine controller, it often designer's experience or using trial error to find Q, R matrices. The search characteristics of bat population in wild. However, there are advantages finding multivariate objective functions. has an improvement optimize linear square function with fast response time, low energy consumption, overshoot, small number oscillations. Swarm optimization algorithms have global extrema Therefore, large elements Q matrices, they can also be quickly found these matrices still satisfy Riccati equation. optimal parameters verified through simulation results different scenarios. performance proposed compared conventional implemented real

Language: Английский

Citations

0