In the tasks of contour following, two important issues are required to be concerned. They are the real-time contour error estimation and compensation. Recent research shows that the accuracy of real-time contour erro...
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In this paper a feedforward control structure is introduced for a manipulator joint driven by a symmetrical arrangement of two antagonistic muscles. The setup allows the specification of the desired joint angle, as we...
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This study addresses a nonlinear trajectory tracking control problem for a kinematics Model of nonholonomic mobile robot with considering next 2 time path curvature. The tracking control of mobile robot using two ...
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This study addresses a nonlinear trajectory tracking control problem for a kinematics Model of nonholonomic mobile robot with considering next 2 time path curvature. The tracking control of mobile robot using two cascade controllers is presented. The first fuzzy controller produces a variable which shows curvature of the path and is considered as one of the inputs of the second fuzzy controller. Adaptive Neuro Fuzzy Inference System (ANFIS) is applied as second stage controller for the solution of the path tracking problem of mobile robots. The inputs value to fuzzy logic layer are Vc, C, dR & d6 the robot current linear velocity, trajectory curvature, distance from the robot actual position to the next desired position, and difference between the angles of the d6 and the robot actual heading, respectively. A gradient descent learning algorithm is used to adjust the parameters. That present controller is compared with previous work to confirm its effectiveness.
There are growing demands on robotics and automation in the service sector for many years due to the age quake, silver society and man power shortage. Now that robotics is so advanced with sensor, actuator and computa...
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Abstract For complex mechatronic systems it is convenient to modularize the system into a hierarchical structure. Especially for self-optimizing systems hierarchies can be used to reduce the complexity. Such systems h...
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Abstract For complex mechatronic systems it is convenient to modularize the system into a hierarchical structure. Especially for self-optimizing systems hierarchies can be used to reduce the complexity. Such systems have an extensive information processing, because they adapt their behavior to varying system and environment conditions in an autonomous way. In this paper we present a parametric model-order reduction based on multi-moment matching that is used to simplify hierarchical models. By this procedure the execution of a hierarchical multiobjective optimization is fastened. We compare our hierarchical approach with a multiobjective optimization of a non-reduced model for an active suspension system. A good approximation of both the Pareto sets and Pareto fronts is obtained by our approach.
A novel two-dimensional (2D) direct-drive generator based on switched reluctance principle is proposed in this paper. Due to its unique structure, the device is considered as a 2D power generator for sustainable energ...
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A novel two-dimensional (2D) direct-drive generator based on switched reluctance principle is proposed in this paper. Due to its unique structure, the device is considered as a 2D power generator for sustainable energy utilization such as wind and wave energy with multidimensional motion forms. The generator has the advantages of simple structure and elimination of mechanical gears and rotary-to-linear motion converters. In this paper, a three dimensional (3D) mechanical model of this generator is designed and finite element analysis (FEA) is applied to simulate the model. From the simulation results, the coupling effect between each direction of power generation is negligible and each phase can be controlled independently. It is expected that the planar switched reluctance generator (PSRG) finds its potential applications in energy utilization area.
In this paper, a novel double-sided direct-drive linear generator based on switched reluctance principle is proposed. In order to acquire a higher power density, the optimization of structure parameters for the double...
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In this paper, a novel double-sided direct-drive linear generator based on switched reluctance principle is proposed. In order to acquire a higher power density, the optimization of structure parameters for the double-sided linear switched reluctance generator (DLSRG) is carried out. To observe the nonlinear phenomena in SR generator, two dimensional (2D) magnetic static field distributions is obtained. For imitation of real-time operation, transient magnetic field is analyzed by finite element method (FEM). Then through a series of simulation and analysis, a group of appropriate parameters for the DLSRG are obtained. It is expected that the novel direct-drive generator finds its applications in power conversion fields such as wave power utilization.
This paper discussed about the implementation of Linear Quadratic Regulator (LQR) on a two-wheeled wheelchair model. The state space model of the two-wheeled wheelchair that mimics double inverted pendulum has been ob...
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This paper discussed about the implementation of Linear Quadratic Regulator (LQR) on a two-wheeled wheelchair model. The state space model of the two-wheeled wheelchair that mimics double inverted pendulum has been obtained from the linearized mathematical equations of the model. The equations of motions, which are very complex, are derived from the wheels, Link1 and Link2. The goal is to have both links of the two-wheeled wheelchair to be at the upright position. To fulfill the goal, Link1 is to be lifted up from its initial position to zero degree upright position while maintaining Link2 at the upright position. This research is aimed to help disabled people who are using the wheelchair as the main transport for mobility but cannot stand on his own due to permanent injuries on the extremities. The scenario requires a suitable control strategy for the good system performance. Results show that LQR provides good response with the linearized differential equations.
There are more and more needs for surface contact works, such as polish, grinding, paint, inspection, etc., with robot manipulators in recent years. In this paper, to achieve high-speed and high-precision surface cont...
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The linear switched reluctance motor (LSRM) is a new kind of direct-drive actuator, however, it is very difficult to build an exact theoretic model for the LSRM. In this paper, an indirect self-tuner is proposed for p...
The linear switched reluctance motor (LSRM) is a new kind of direct-drive actuator, however, it is very difficult to build an exact theoretic model for the LSRM. In this paper, an indirect self-tuner is proposed for position control of the LSRM by combining the recursive least squares (RLS) estimator with the minimum-degree pole placement method (MDPP) for controller design. control system construction and operation based on one single Digital Signal Processor (DSP) are also established. Experimental results demonstrate the control scheme with on-line least-square parameter identification has a better performance than PID controller on modifying steady-error variances between each operation side in square-wave tracking. Experimental results prove that the control algorithm considering disturbances has smaller steady-state error compared with PID control algorithm.
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