The Efficiency of an Optimized PID Controller Based on Ant Colony Algorithm (ACO-PID) for the Position Control of a Multi-articulated System

Journal of Robotics and Control (JRC), Journal Year: 2023, Volume and Issue: 4(3), P. 289 - 298

Published: April 29, 2023

In this article, a robot manipulator is controlled by the PID controller in closed loop system with unit feedback. The difficulty of using parameter tuning, because tuning parameters still use trial and error method to find constants, namely Proportional Gain (Kp), Integral (Ki) Derivative (Kd). case Ant colony Optimization algorithm (ACO) used best gain PID. combinatorial optimization, which utilizes pattern ants search for shortest path from nest place where food located, concept applied minimizing objective function such that has improved performance characteristics. This work uses Matlab Simulink environment, First, after obtaining model, ant determine proper coefficients 𝐾p, 𝐾i, Kd order minimize trajectory errors two joints manipulator. Then, will implement system. According results computer simulations, proposed (ACO-PID) gives good compared classical

Language: Английский

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Design of circulating temperature control system for rubber and plastic industry based on mechatronics

Frontiers in Mechanical Engineering, Journal Year: 2025, Volume and Issue: 10

Published: Jan. 22, 2025

Introduction In the modern rubber and plastics industry, temperature control becomes a key factor affecting product quality production efficiency. However, existing system generally has problem of lag high energy consumption. Aiming at poor effect current system, new circulating for plastic industry was proposed in this study. Methods Firstly, fuzzy neural network improved particle swarm optimization algorithm were introduced study, then hybrid combined with mechatronics technology to design implement set cycle system. Results According test data, performed well both scenarios. Compared comparison algorithm, following parameters: tuning time (scenario 1:513s, scenario 2:521s), overshoot 1:2.5%, 2:2.3%), steady-state error 1:005, 2:004) absolute integral 1:008, 2: 0.007) been significantly optimized. Simulation analysis shows that stronger anti-interference ability lower consumption (0.6 hour consumption: 1086.5J, saving rate: 38.7%). Discussion The results show cyclic is superior terms performance, research not only improves accuracy efficiency systems but also promotes promotion green sustainable methods. This essential promote high-quality development industry.

Language: Английский

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Artificial Neural Network (ANN) based Proportional Integral Derivative (PID) for Arm Rehabilitation Device

Kufa Journal of Engineering, Journal Year: 2025, Volume and Issue: 16(1), P. 80 - 103

Published: Feb. 4, 2025

The current work was developed under the title of Artificial Neural Network (ANN) Proportional Integral Derivative (PID) for arm rehabilitation device and included building designing simulation model results device. A set tests were proposed to include firstly testing a system that represents state open secondly It closed device, third closed-loop with PID control fourth using ANN, finally can be used comparison between PIDC ANN. To conduct all test cases, program MATLAB, which help simulate an attempt regain movement in arm, is called rehabilitation. noted target group some people who suffer from stroke. By representing model, its effectiveness verified. possible aimed at improving performance by working on developing adopting appropriate design characteristics match required operational behavior conditions suit different situations. cases demonstrated through possibility identifying cases. difference these also identified. In addition recovery rehabilitate injured system’s presence expert neural network controller, it better than traditional controller.

Language: Английский

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Enhancing Reliability and Performance of Load Frequency Control in Aging Multi-Area Power Systems under Cyber-Attacks

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(19), P. 8631 - 8631

Published: Sept. 25, 2024

This paper addresses the practical issue of load frequency control (LFC) in multi-area power systems with degraded actuators and sensors under cyber-attacks. A time-varying approximation model is developed to capture variability component degradation paths across different operational scenarios, an optimal controller constructed manage stochastic subareas simultaneously. To assess reliability proposed scheme, both Monte Carlo simulation particle swarm optimization techniques are utilized. The methodology distinguishes itself by four principal attributes: (i) a that broadens application from single-area systems; (ii) integration physical constraints within model, which enhances realism practicality compared existing methods; (iii) sensor suffers fault data injection attacks; (iv) leverages effectively balance system performance, thereby improving stability reliability. method has demonstrated its effectiveness advantages mitigating disturbances, achieving objectives just one-third time required established benchmarks. case study validates applicability approach demonstrates efficacy disturbance amidst FDIA

Language: Английский

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Integrating Process Re-Engineering Models in Cement Production to Improve Energy Efficiency

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(19), P. 8850 - 8850

Published: Oct. 1, 2024

The demand for cement has significantly increased, growing by 8% in the year 2022 and a further 12% 2023. It is highly anticipated that this trend will continue, it result significant growth 2030. However, production energy-intensive, with 70 to 80% of total energy consumed during clinker formation, which main process. Minimising losses requires radical approach includes optimising performance kilns improving their efficiency. One most efficient approaches optimise reduce integrating process re-engineering models, leverage data analytics, machine learning, computational methods. This study employed model-based integration improve efficiency formation. Energy consumption were collected from two semi-automated plants. analysed using regression model Minitab (Minitab 21.1.0) statistical software. analysis resulted linear equation links both loss. Dynamic simulations modelling Simulink MATLAB performed based on proportional–integral–derivative (PID)-controlled system. dynamic behaviour was evaluated Plant A validated B. established as mathematical explains improvements incorporating parameters kiln system disturbances environment.

Language: Английский

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Real-Time Inverse Dynamic Deep Neural Network Tracking Control for Delta Robot Based on a COVID-19 Optimization

Journal of Robotics and Control (JRC), Journal Year: 2023, Volume and Issue: 4(5), P. 643 - 649

Published: Sept. 16, 2023

This paper presents a new technique to design an inverse dynamic model for delta robot experimental setup obtain accurate trajectory. The input/output data were collected using NI DAQ card where the input is random angles profile three-axis and output corresponding measured torques. was developed based on deep neural network (NN) COVID-19 optimization find optimal initial weights bias values of NN model. Due system uncertainty nonlinearity, not enough track accurately preselected profile. So, PD compensator used absorb error deviation end effector. results show that proposed with achieves good performance high tracking accuracy. suggested control examined two different methods. spiral path first, root mean square 0.00258 m, while parabola second, 0.00152 m.

Language: Английский

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Performance improvement and control optimization in grid-integrated PV source with energy storage systems

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 103, P. 114517 - 114517

Published: Nov. 14, 2024

Language: Английский

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Integrated Room Monitoring and Air Conditioning Efficiency Optimization Using ESP-12E Based Sensors and PID Control Automation: A Comprehensive Approach

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

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Time-Varying Sign Gain with Expert System in Serial Iterative Learning Control Architecture

International Review of Automatic Control (IREACO), Journal Year: 2024, Volume and Issue: 17(1), P. 1 - 1

Published: Jan. 31, 2024

This study investigates the integration of time-varying sign gain with an expert system within framework serial iterative learning control architecture. Iterative Learning Control (ILC) is recognized as a vital technique for enhancing precision robotic systems. However, challenges persist in mitigating transients, which can affect performance. To address this issue, developed to fine-tune matrix. Through extensive simulation tests, proposed approach's performance evaluated, focus on reducing Root Mean Square Error (RMSE) and stabilizing arm motion. The results demonstrate consistent decrease RMSE across multiple iterations, indicating effectiveness integrated approach. Moreover, stability analysis reveals promising asymptotic convergence values, affirming system's stabilization capability. In conclusion, advocates adoption techniques, such gain, manage transients enhance manipulator applications.

Language: Английский

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Design of PSO controller for real-time non-reversible operation of PMBLDC motor drive system in hot steel rough rolling applications

Sadhana, Journal Year: 2024, Volume and Issue: 49(2)

Published: May 21, 2024

Language: Английский

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