This paper presents the design of a nonlinear reduced order observer to estimate the load position and speed of an elastic drive system. The reduced order observer is designed using the notion of invariant manifold. F...
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This paper presents the design of a nonlinear reduced order observer to estimate the load position and speed of an elastic drive system. The reduced order observer is designed using the notion of invariant manifold. First, a manifold is defined in terms of the error dynamics. Then, the mapping functions are selected in such a way that the error dynamics become asymptotically stable at the equilibrium point. Simulation and experimental results are shown to validate the proposed methodology for a two mass model system.
Due to the rise of biological and MEMS technology in recent years, some micro flow system components have drawn attention and been developed by many investigators. The importance of micro-pumps manufactured is higher ...
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Due to the rise of biological and MEMS technology in recent years, some micro flow system components have drawn attention and been developed by many investigators. The importance of micro-pumps manufactured is higher than the other part of micro flow system since it is the power source of the entire micro-flow system and responsible for driving working fluid in the microfluidic system. In actual operation, the instability and bad dynamic characteristics of the micro-pump will cause larger fluid flow mobility error, such as transport behavior and response procedures failure, etc., and even damage the microfluidic system. Therefore, to investigate the stability and dynamic characteristics of a micro pump is necessary. The Finite element analysis(FEA), ANSYS Workbench, is employed to analyze the dynamic characteristics of this micro pump, and experiment is also considered in this study.
The technological development in healthcare experienced in actual days has relationship with the integration of many knowledge areas, fundamentally by searching new solutions in order to improve the quality of life of...
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In this paper we propose a manipulated reward function for the Q-learning algorithm which is a reinforcement learning technique and utilize the proposed algorithm to tune the parameters of the input-output membership ...
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ISBN:
(纸本)9781467371605
In this paper we propose a manipulated reward function for the Q-learning algorithm which is a reinforcement learning technique and utilize the proposed algorithm to tune the parameters of the input-output membership functions of fuzzy logic controllers. The use of a reward signal to formalize the idea of a goal is one of the most distinctive features of reinforcement learning. To improve both the performance and convergence criteria of the mentioned algorithm we propose a fuzzy structure for the reward function. In order to demonstrate the effectiveness of the algorithm we apply it to two second order linear systems with and without time delay and finally a nonlinear system will be examined.
This paper suggests a method of robust control for an active suspension to improve both of the ride comfort and the driving stability using half car model. The ride comfort is evaluated by the vertical acceleration an...
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ISBN:
(纸本)9781479977970
This paper suggests a method of robust control for an active suspension to improve both of the ride comfort and the driving stability using half car model. The ride comfort is evaluated by the vertical acceleration and the pitch acceleration of the human body. The driving stability is evaluated by the vertical force of front and rear wheels. The purpose of this paper is to improve the ride comfort and the driving stability by using state feedback. On the other hand, the robust stability is also important factor to evaluate the performance of the car. In this study, the front and rear weights of car body are considered as uncertain parameters depending on the passengers and the loads. Their weights influence on the pitch motion of the car body. The robust H_2 controller is designed to guarantee the robust stability for the system with uncertain parameters with polytopic representation. These problems are solved by a finite set of Linear Matrix Inequality (LMI). The effectiveness of the proposed method is illustrated by simulations and experiments.
The Use of voice-controlled remote and automatic systems, is currently being implemented more frequently in the industrial sector in the management of variables in production processes and in the domestic sector for c...
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From the past, maglev technique study(mainly for transportation like maglev) has been done. In the domestic, urban maglev train is practical steps now. High-speed maglev train(550km/h) development comes complete, foll...
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Two adaptive trajectory tracking controllers for wheeled mobile robots are tested in this work. Adaptively tuned proportional control is one approach, where as the other controller uses a Universal Adaptive Stabilizat...
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ISBN:
(纸本)9781467377980
Two adaptive trajectory tracking controllers for wheeled mobile robots are tested in this work. Adaptively tuned proportional control is one approach, where as the other controller uses a Universal Adaptive Stabilization (UAS) based technique. Using simulations, the robustness of the above controllers is quantified in the presence of measurement noise. The robustness is measured in terms of the Integral of absolute magnitude of the error (IAE), the Integral of square of the error (ISE), and the Integral of time multiplied by the absolute value of the error (ITAE) criteria. It is observed that the UAS based technique shows fast convergence in the absence of noise. To combat the effect of noise, the authors reset the adaptation gains after the adaptation gains reach a preset bound. With this technique it is found that the UAS based technique converges to the trajectory being tracked faster than the adaptively tuned proportional controller, and also faster than a traditional input-output state feedback linearization based controller.
This paper presents the design of a decentralized cooperative control law that allows a mobile robot group to establish and maintain a specific geometry formation while the robots moves along a predefined trajectory. ...
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