In this paper, a novel optimization algorithm of fuzzy logic controller (FLC) using genetic algorithms (GAS) is proposed. To characterize the major design parameters of an FLC, characteristic parameters are dejlned which can greatly siinplifi design procedure of the FLC. The characteristic parameters are encoded into a chromosome presented as an integer string. The chromosomes are, then, optimized by maximizing the evaluated Jitness through genetic operations, and as a result, the optinzized FLC can be obtained. Tlie effectiveness of the proposed algorithm has been veriped through a series of simulations for a water level control system.
Industrial areas using FPCB are broadening from simple conection for bending of rigid PCB to main component of elecronic equipment. Fume is generated by melting of adhesion material during the hot press process for manufacturing of FPCB. Release film sheet is used for elemination of gas and absorption of shock in the hot press process. In this paper, release film automatic adhesion machine for hot press process is developed, and ultrasonic welding condition is proposed for optimization of adhesion strength between release films. The performance test of developed machine is conducted.
This paper proposes a novel design method of the compliance controller for robot manipulators. The neurofuzzy compliance controller (NFCC) proposed herein is an algorithm designed to automatically determine the suitable compliance for a given task or environment. The scheme dose not require any priori knowledge on a robot manipulator dynamics, a manipulator controller and an environment, and thus, it can be easily applied to the control of any robot manipulator systems. Through a series of experiments, effectiveness of the algorithm has been verified.
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