This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball ...
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ISBN:
(纸本)9789746724913
This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball screws and rails. To control servo motors which are used to drive X-Y table in CNC milling machine, the conventional PID controller is widely used. In this research, Panasonic motor driver is set to the torque control mode. To compensate the friction effects, the friction feedforward compensation method is proposed. Moreover, to reduce the position tracking error, position feedforward controller is used. The simulation and implementation of position control in one axis of PID with Friction Feedforward Compensation and Position Feedforward controller (FFC-PFC) are presented.
Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is...
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ISBN:
(纸本)9789746724913
Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.
Parallel current mode control algorithm for DC-DC converters is introduced in this paper. This control strategy is composed of two parallel terms: voltage term and current term which is calculated based on the input v...
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Parallel current mode control algorithm for DC-DC converters is introduced in this paper. This control strategy is composed of two parallel terms: voltage term and current term which is calculated based on the input voltage, inductor current and output voltage. The new duty cycle algorithm requires only one multiplication, one division and three additions in digital implementation. The simulation results demonstrate that parallel current mode control has superior steady-state response over the conventional current mode control, and maintains a good dynamic response. A 400-kHz switching frequency Buck converter based on FPGA implementation shows that the new duty cycle control strategy is optimal for digital control.
control of the networked control systems is a crucial challenge. In the environment of shared communication media, data may be randomly delayed or even lost. As the shared communication links are used in the critical ...
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control of the networked control systems is a crucial challenge. In the environment of shared communication media, data may be randomly delayed or even lost. As the shared communication links are used in the critical infrastructure systems, the problem becomes even more important. As opposed to network compensation, solutions presented in the paper integrate network with the controlled plant. The proposed networked control system employs the model predictive control technology and is based on the buffer in the actuator. Stability of the presented solution used to control a linear discrete time system is analyzed. A simulation example is also provided.
We investigate the flocking problem of multiple nonlinear dynamical mobile agents with a virtual leader in a dynamic proximity network. We assume that only a fraction of agents in the network are informed and propose ...
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ISBN:
(纸本)9787894631046
We investigate the flocking problem of multiple nonlinear dynamical mobile agents with a virtual leader in a dynamic proximity network. We assume that only a fraction of agents in the network are informed and propose a connectivity-preserving flocking algorithm. Under the assumption that the initial network is connected, we introduce local adaptation strategies for both the weights on the velocity navigational feedback and the coupling strengths that enable all agents to track the virtual leader, without requiring the knowledge of the agent dynamics. The resulting flocking algorithm works even for the case where only one agent is informed.
This paper deals with the conceptual design and kinematic analysis of a novel 2-DOF translational parallel robot for pick-and-place operations named as T2. The proposed architecture is composed of two actuated kinemat...
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In this paper, a decentralized control algorithm is proposed for a group of nonholonomic vehicles to form a class of collective circular motion behavior. Without the guidance of a global position reference or a beacon...
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ISBN:
(纸本)9781424477456
In this paper, a decentralized control algorithm is proposed for a group of nonholonomic vehicles to form a class of collective circular motion behavior. Without the guidance of a global position reference or a beacon, the desired collective behavior occurs provided that the multi-agent system is jointly-connected. Moreover, a repulsion mechanism is considered to improve the distribution evenness of the agents' circular motion phases and hence to avoid collision. The effectiveness of the approach is verified through both theoretical analysis and numerical simulation.
An nonlinear simulation model of the Switched Reluctance machine with the operation at four-quadrant founded on MATLAB is presented. The simulation of the prototype with three given rotor speeds and four different loa...
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An nonlinear simulation model of the Switched Reluctance machine with the operation at four-quadrant founded on MATLAB is presented. The simulation of the prototype with three given rotor speeds and four different loads are made. The simulated results on the rotor speed curves, the rotor speed ascending time and the phase current waveforms are given. It is shown that the operation of the Switched Reluctance machine at four-quadrant and the conversion course can be simulated efficaciously by the model. There is the impact phase current during the conversion course at four-quadrant. The phase current of the Switched Reluctance machine with the operation at four-quadrant is unipolar so that the unipolar power converter is need.
This paper is concerned with the investigation of robust performance of linear tracking controllers affected by unmodelled delays acting in the loop. The incentive comes from the area of Networked control System (NCS)...
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ISBN:
(纸本)9781424459841;9780769539737
This paper is concerned with the investigation of robust performance of linear tracking controllers affected by unmodelled delays acting in the loop. The incentive comes from the area of Networked control System (NCS) where the inevitable network-induced (transmission) delays are either time-varying or constant. The main contribution (based on extensive simulation work rather than strict mathematical proof) is that the tracking performance of (typical or more sophisticated) linear tracking control laws is drastically reduced when applied to NCS. The provided simulation results (i) demonstrate the impact of the network-induced delays on the tracking performance of single-input single-output NCS, (ii) provide initial guidelines for the tuning of the controllers and (iii) pave the road for further work to be done.
A novel individual-based alignmen/repulsion algorithm is proposed in this paper for a flock of multiple agents. With this algorithm, each individual repels its sufficiently close neighbors and aligns to the average ve...
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A novel individual-based alignmen/repulsion algorithm is proposed in this paper for a flock of multiple agents. With this algorithm, each individual repels its sufficiently close neighbors and aligns to the average velocity of its neighbors with moderate distances. In both mathematical analysis and numerical simulation, we prove that the algorithm guarantees an uncrowded flocking behavior with asymptotical velocity synchronization when sufficiently intensive communication exists within the agents. Moreover, we provide the conditions for collision avoidance along the whole transient procedure. The proposed flocking model has its references in natural collective behaviors like escaping panic and traffic jam motions.
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