The Experts below are selected from a list of 175593 Experts worldwide ranked by ideXlab platform
Chunquan Xu - One of the best experts on this subject based on the ideXlab platform.
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adaptive fuzzy logic Control of dynamic balance and motion for wheeled inverted pendulums
Fuzzy Sets and Systems, 2009Co-Authors: Zhijun Li, Chunquan XuAbstract:In this paper, adaptive fuzzy logic Control of dynamic balance and motion is investigated for wheeled inverted pendulums with parametric and functional uncertainties. The proposed adaptive fuzzy logic Control based on physical properties of wheeled inverted pendulums makes use of a fuzzy logic engine and a systematic online adaptation mechanism to approximate the unknown dynamics. Based on Lyapunov synthesis, the fuzzy Control ensures that the system outputs track the given bounded reference signals to within a small neighborhood of zero, and guarantees semi-global uniform boundedness of all closed-loop signals. The effectiveness of the proposed Control is verified through extensive simulations.
Zhijun Li - One of the best experts on this subject based on the ideXlab platform.
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adaptive fuzzy logic Control of dynamic balance and motion for wheeled inverted pendulums
Fuzzy Sets and Systems, 2009Co-Authors: Zhijun Li, Chunquan XuAbstract:In this paper, adaptive fuzzy logic Control of dynamic balance and motion is investigated for wheeled inverted pendulums with parametric and functional uncertainties. The proposed adaptive fuzzy logic Control based on physical properties of wheeled inverted pendulums makes use of a fuzzy logic engine and a systematic online adaptation mechanism to approximate the unknown dynamics. Based on Lyapunov synthesis, the fuzzy Control ensures that the system outputs track the given bounded reference signals to within a small neighborhood of zero, and guarantees semi-global uniform boundedness of all closed-loop signals. The effectiveness of the proposed Control is verified through extensive simulations.
Songshin-min - One of the best experts on this subject based on the ideXlab platform.
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Fuzzy logic Control of a planetary gear type walking machine leg
Robotica, 1997Co-Authors: Tsaichau-ren, Leetsu-tian, Songshin-minAbstract:In this paper, the development of a fuzzy logic Control algorithm for walking machine leg Control is presented. The planetary gear leg is designed for a quadruped which can walk and trot under the ...
Takeshi Sameshima - One of the best experts on this subject based on the ideXlab platform.
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fuzzy logic Control scheme for on line stabilization of multi machine power system
Fuzzy Sets and Systems, 1991Co-Authors: T. Hiyama, Takeshi SameshimaAbstract:Abstract The paper presents a fuzzy logic Control scheme to enhance the overall stability of a multi-machine power system. Several simple Control rules are prepared to Control generating units. Desired stabilizing signals are determined according to the rules together with the speed/acceleration states of generating units at every sampling time. The proposed fuzzy logic Control scheme is easy to implement, and requires a low amount of computation because of its simple Control rules, and required data. The proposed fuzzy logic stabilizer can be easily set up by using a micro-computer with the functions of A/D and D/A conversion. The efficiency of the proposed fuzzy logic stabilizers is demonstrated through simulations using a 10-machine and 39-bus power system.
Shin-min Song - One of the best experts on this subject based on the ideXlab platform.
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Fuzzy logic Control of a planetary gear type walking machine leg
Robotica, 1997Co-Authors: Chau-ren Tsai, Tsu-tian Lee, Shin-min SongAbstract:In this paper, the development of a fuzzy logic Control algorithm for walking machine leg Control is presented. The planetary gear leg is designed for a quadruped which can walk and trot under the following design criteria: high efficiency, compact size and high payload/weight ratio. The inverse kinematics and dynamics of this leg are first analysed. A fuzzy logic Control algorithm is then developed and implemented to Control this prototype leg. The Controller Controls the leg using position Control when the foot is in the air and force Control when the foot is on the ground. This fuzzy logic Control algorithm is evaluated in both simulation and experiments. A comparison of the proposed Control algorithm with the conventional impedance Control is given. Results show that the fuzzy logic Controller is effective in Controlling the leg machine.
