首页|New Findings from University of Technology-Iraq Describe Advances in Androids (A pplication of Particle Swarm Optimization to a Hybrid H /Sliding Mode Controller Design for the Triple Inverted Pendulum System)

New Findings from University of Technology-Iraq Describe Advances in Androids (A pplication of Particle Swarm Optimization to a Hybrid H /Sliding Mode Controller Design for the Triple Inverted Pendulum System)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on androids are presented i n a new report. According to news reporting out of Baghdad, Iraq, by NewsRx edit ors, research stated, “The robotics field of engineering has been witnessing rap id advancements and becoming widely engaged in our lives recently. Its applicati on has pervaded various areas that range from household services to agriculture, industry, military, and health care.” Our news reporters obtained a quote from the research from University of Technol ogy-Iraq: “The humanoid robots are electro-mechanical devices that are construct ed in the semblance of humans and have the ability to sense their environment an d take actions accordingly. The control of humanoids is broken down to the follo wing: sensing and perception, path planning, decision making, joint driving, sta bility and balance. In order to establish and develop control strategies for joi nt driving, stability and balance, the triple inverted pendulum is used as a ben chmark. As the presence of uncertainty is inevitable in this system, the need to develop a robust controller arises. The robustness is often achieved at the exp ense of performance. Hence, the controller design has to be optimized based on t he resultant control system’s performance and the required torque. Particle Swar m Optimization (PSO) is an excellent algorithm in finding global optima, and it can be of great help in automatic tuning of the controller design. This paper pr esents a hybrid H /sliding mode controller optimized by the PSO algorithm to con trol the triple inverted pendulum system.”

University of Technology-IraqBaghdadIraqAsiaEmerging TechnologiesMachine LearningParticle Swarm OptimizationRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.11)