Force-free control with velocity consideration under the assigned locus is proposed for an articulated robot arm. The tip of the robot arm is moved on an objective locus according to the tip velocity. Then, the direct...
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ISBN:
(纸本)0780376315
Force-free control with velocity consideration under the assigned locus is proposed for an articulated robot arm. The tip of the robot arm is moved on an objective locus according to the tip velocity. Then, the direction of the tip velocity, which corresponds to the exerted force, is modified to the tangential direction of the assigned locus. The contouring work of an articulated robot arm is, therefore, carried out with a force-free control. The effectiveness of the proposed force-free control is assured by simulation and experimental work on a two-degree-of-freedom articulated robot arm. Applications of the force-free control with an assigned locus are also discussed.
A procedure for global optimization of PID type controller parameters for SISO plants with model uncertainty is presented. Robustness to the uncertainties is guaranteed by the use of Horowitz bounds, which are used as...
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A procedure for global optimization of PID type controller parameters for SISO plants with model uncertainty is presented. Robustness to the uncertainties is guaranteed by the use of Horowitz bounds, which are used as constraints when low frequency performance is optimized. The basic idea of both the optimization and the parameter tuning is to formulate separate criteria for low, mid and high frequency closed loop properties. The trade-off between stability margins, high frequency robustness and low frequency performance is then elucidated and, hence, the final choice of parameters is facilitated. The optimization problems are non-convex and ill-conditioned and we use a combination of new global and standard local optimization algorithms available in the TOMLAB optimization environment to solve the problem. The method does not rely on a good initial guess and converges fast and robustly. It is applied to a controller structure comparison for a plant with an uncertain mechanical resonance. For a given control activity and stability margin as well as identical tuning parameters it is shown that a PID controller achieves slightly improved low frequency performance compared to an ℋ ∞ controller based on loop-shaping. The reason for this somewhat surprising result is the roll-off in the ℋ ∞ controller, which adds additional high frequency robustness compared to the PID controller. Computationally, a factor of 10–20 has been gained compared to an earlier, less general, version of the procedure.
In this paper, we present a method for analyzing parallel mechanism stiffness including elastic deformations in the structure. In our previous works, we developed a compact 6-DOF haptic interface as a master device wh...
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In this paper, we present a method for analyzing parallel mechanism stiffness including elastic deformations in the structure. In our previous works, we developed a compact 6-DOF haptic interface as a master device which achieved an effective manual teleoperation. The haptic interface contains a modified Delta parallel-link positioning mechanism. Parallel mechanism is usually characterized by a high stiffness, however, it is reduced by elastic deformations of both parts and bearings. Therefore, to study such a parallel mechanism, we analyzed stiffness in a parallel mechanism, including elastic deformation of both parts and bearings. Key points of our method are a modeling of bearings, a modeling of a elasticity coefficient of a passive axis in a bearing and a modeling of a parallel mechanism. Finally, we show that our stiffness analysis method of a parallel mechanism is high reliability and precision.
This paper deals with the modeling of a biotechnological process from input-output data. A simple fuzzy-neural network is utilized to obtain a non-linear model of a wastewater plant. The fuzzy curves are utilized in o...
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This paper deals with the modeling of a biotechnological process from input-output data. A simple fuzzy-neural network is utilized to obtain a non-linear model of a wastewater plant. The fuzzy curves are utilized in order to know the significant input variables, the number of rules to model the system and the set of initial weights in the fuzzy neural network model. From the point of view of neural networks the model has weights to be trained from input output data and from the view point of fuzzy logic the model is a set of rules to explain the behaviour of the system.
We clarified the relationship between the arrangement and the motion of actuators (muscles), corresponding to the drive system for vertebrate legs, including those of the human, planning to apply our results to robot ...
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In mechanical joints applied to robot arms, one actuator is generally required to drive one joint. For the drive of joints on the musculoskeletal system of animal limbs, in which musculi skeleti are used as actuators,...
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In a mechanical joint drive used in robot arms, 1 actuator drives each joint. To drive joints in musculoskeletal animal limbs, in which skeletal muscles are used as actuators, a pair of bi-articular muscles drives 2 j...
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We have focused on rings that are one event of men's apparatus gymnastics. The ring exercises have the characteristics that the apparatus can move in all directions freely unlike horizontal bar exercises that have...
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We have focused on rings that are one event of men's apparatus gymnastics. The ring exercises have the characteristics that the apparatus can move in all directions freely unlike horizontal bar exercises that have the constraint between hands and the horizontal bar. Realizing the robot that performs rings practically, we can expect a contribution to the coaching. Therefore we have already proposed the "rings gymnastic robot" that performs gripping the rings suspended by a rope. In this paper, our goal is to acquire an exercise skill represented by fuzzy control rules. A backward giant circle from handstand to handstand is selected as the exercise to simulate. The skill to realize the exercise is obtained by a genetic algorithm, in which an evaluation method using five subgroups with independent evaluation is introduced.
A new mechanical upper-drive active dual-wheel caster assembly is developed and two types of holonomie and omnidirectional mobile robots which utilize this caster assembly are discussed in this paper. The new active c...
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A new mechanical upper-drive active dual-wheel caster assembly is developed and two types of holonomie and omnidirectional mobile robots which utilize this caster assembly are discussed in this paper. The new active caster assembly is equipped with two standard tires as its driving wheels. Two motors are mounted on the upper frame to drive each wheel independently through a series of gears and a belt. In this structure, the lower frame can steer arbitrary angles referred to the upper frame without any wiring problem, which inhibits practical application of the previous normal active dual-wheel caster assembly. The new active caster assembly is used to construct two types of holonomie and omnidirectional mobile robots. One is a conventional structure, and the other is a synchro-drive system. The kinematic models of the new active caster assembly and two types of mobile robots are derived and the characteristics of these two holonomic and omnidirectional mobile robots are illustrated by computer simulations using resolved velocity control.
A method of interpreting imprecise natural language commands to machine understandable manner is presented in this paper. The proposed method tries to ease the process of man-machine interaction by combining the theor...
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A method of interpreting imprecise natural language commands to machine understandable manner is presented in this paper. The proposed method tries to ease the process of man-machine interaction by combining the theoretical understanding of artificial neural networks and fuzzy logic. Both fields are very popular to mimic the human behavior in different research areas in artificial intelligence. The proposed system tries to understand the natural language command rather than mere recognition. The distinctive features of the artificial neural networks in pattern recognition and classification and the abilities of manipulating imprecise data by fuzzy systems are merged to recognize the machine sensitive words in the natural language command and then to interpret them to machine in machine identifiable manner. Modularity of the design tries to break up the complete task into manageable parts where the presence of individual part is vital to bridge the so-called man-machine gap.
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