Proportional, integral, and derivative (PID) controllers have been widely adopted for industrial applications. However, these controllers are not very efficient for non-linear systems. Artificial neural networks (ANN)...
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ISBN:
(数字)9798350374575
ISBN:
(纸本)9798350374582
Proportional, integral, and derivative (PID) controllers have been widely adopted for industrial applications. However, these controllers are not very efficient for non-linear systems. Artificial neural networks (ANN) based on the Multilayer Perceptron (MLP) have great potential to replace PID controllers due to their polynomial structure, allowing complex non-linear systems to be controlled. This article introduces the integration of four MLPs as alternatives to a traditional PID controller. These MLPs were trained through four bioinspired algorithms tailored for following tasks in mobile robots. The bioinspired algorithms employed for MLP network training include Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Month-Flame Optimization (MFO), and Artificial Hummingbird Algorithm (AHA). A comparative analysis was conducted between these MLPs and a classic PID controller, focusing on parameters such as overshoot (OS), settling time (ST), and steady-state error for different simulated scenarios.
Safe control with guarantees generally requires the system model to be known. It is far more challenging to handle systems with uncertain parameters. In this paper, we propose a generic algorithm that can synthesize a...
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ISBN:
(数字)9783907144107
ISBN:
(纸本)9798331540920
Safe control with guarantees generally requires the system model to be known. It is far more challenging to handle systems with uncertain parameters. In this paper, we propose a generic algorithm that can synthesize and verify safe controllers for systems with constant, unknown parameters. In particular, we use robust-adaptive control barrier functions (raCBFs) to achieve safety. We develop new theories and techniques using sum-of-squares that enable us to pose synthesis and verification as a series of convex optimization problems. In our experiments, we show that our algorithms are general and scalable, applying them to three different polynomial systems of up to moderate size (7D). Our raCBFs are currently the most effective way to guarantee safety for uncertain systems, achieving 100% safety and up to 55% performance improvement over a robust baseline.
Improving the energy efficiency of heating systems is of great significance in building energy saving. This paper investigates a time-average total cost minimization problem of heat pump systems. Firstly, heat pump sy...
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Dynamic simulation is an important part of the design pipeline for robot controllers, but there is often a significant performance gap between the simulation domain and the real world. This sim-to-real gap makes trans...
Dynamic simulation is an important part of the design pipeline for robot controllers, but there is often a significant performance gap between the simulation domain and the real world. This sim-to-real gap makes transferring controllers developed in one simulation environment to other simulations or to real hardware systems difficult and time-consuming. Here, we introduce an approach to reduce this gap for the MIT Humanoid by using physically-feasible system identification methods to match dynamics models across domains, combined with neural networks to model any residual dynamics, such as friction. Using data from our real hardware system as the ground truth, we develop models for transfer from two separate simulation environments to hardware, as well as transfer between the two simulations. Finally, we show experimental results using our fitted dynamic models and characterize our domain transfer success.
This paper presents a method to imitate flatness-based controllers for mobile robots using neural networks. Sample case studies for a unicycle mobile robot and an unmanned aerial vehicle (UAV) quadcopter are presented...
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Human fingers exhibit remarkable dexterity and adaptability through a combination of structures with varying stiffness levels, ranging from soft tissues (low stiffness) to tendons and cartilage (medium stiffness) to b...
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ISBN:
(数字)9798331520205
ISBN:
(纸本)9798331520212
Human fingers exhibit remarkable dexterity and adaptability through a combination of structures with varying stiffness levels, ranging from soft tissues (low stiffness) to tendons and cartilage (medium stiffness) to bones (high stiffness). This paper focuses on the development of a robotic finger that emulates these multi-stiffness characteristics. Specifically, we propose utilizing a lattice configuration, parameterized by voxel size and unit cell geometry, to achieve fine-tuned stiffness properties with high precision. A key advantage of this approach is its compatibility with single-process 3D printing, which eliminates the need for manual assembly of components with varying stiffness. Using this method, we present a novel, human-like robotic finger and a soft gripper. The gripper is integrated with a rigid manipulator and demonstrated in pick-and-place tasks, showcasing its effectiveness.
In this work, the comparison between the Newtonian and the Power Law models was pointed out to determine the flow field within a system that includes the bypass of a narrowing zone (Stenosis) of an ideal artery. The s...
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Electro-hydraulic systems are the updated version of conventional valve-controlled hydraulics. This actuation technology, which is crucial in many fields of industry, still has room for improvement in some areas. In t...
ISBN:
(数字)9781837241910
Electro-hydraulic systems are the updated version of conventional valve-controlled hydraulics. This actuation technology, which is crucial in many fields of industry, still has room for improvement in some areas. In this regard, feedback control is challenging as only the hydraulic actuator's position and pressure drop are typically measured for practical reasons. Thus, our focus is on constructing a state observer because knowing all the system’s state variables, including the actuator velocity, is desirable for achieving effective closed-loop position control. We propose a feedback linearization approach for output feedback control by developing an observer relying only on the measured position and pressures. We leverage linear matrix inequalities (LMIs) to obtain a proper observer gain. This unconventional approach for electro-hydraulic drives leads to satisfactory observer behavior. Therefore, this contribution further establishes electro-hydraulic systems by proposing novel alternatives to facilitate their control.
Crack often affects structural deformation nonlinearly, leading to difficulty detecting their existence using some Structural Health Monitoring methods. In this paper, we propose a damage index derived from the Euler-...
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This paper presents the design of a teleoperation system with a haptic display for the active needles with tip-force sensing and tip-steering capabilities. The active needle design employs sensorized tendons by fiber ...
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ISBN:
(数字)9798350386523
ISBN:
(纸本)9798350386530
This paper presents the design of a teleoperation system with a haptic display for the active needles with tip-force sensing and tip-steering capabilities. The active needle design employs sensorized tendons by fiber Bragg gratings sensor (FBGs), while the teleoperation system combines a general haptic interface with electrical stimulation as its steering interface, delivering not only general force feedback but also tip-force information measured by the FBGs-based tendons to the operators. The essential features, such as tip-force sensing, teleoperation of the tip-joint, and human perception of the measured tip-force, were experimentally evaluated with their prototypes in tissue phantoms. Based on the results obtained, necessary follow-up studies were identified and suggested for the effective teleoperation of force-sensing steerable instruments in clinical environments. If successfully developed, such systems can enable surgeons to perceive clinical situations and perform operations more precisely and safely.
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