Fuzzy{logic theory is a valuable tool to structure ad{hoc designs where model{based designs are not suitable or even not available. There exist numerous examples of industry proven fuzzy{logic solutions in the domain of control, pattern recognition and expert systems. The design of fuzzy systems demand a great deal of experience and intuition. Due to the many degrees of freedom in the design of...

In this paper, we will propose a method to generate fuzzy membership function automatically. Particle Swarm Optimization is used as optimized algorithm, supplement the performance of fuzzy system. PSO is able to generate an optimal of fuzzy set for the membership functions automatic adjustment. Fuzzy control system that automatically back up a truck to a specified point on a loading dock is use...

This paper proposes a swarm optimized fuzzy logic based power system stabilizer (SFLPSS). The fuzzy logic stabilizer membership functions parameters, inputs and outputs gains and fuzzy rules are tuned and optimized using particle swarm optimization (PSO) technique. Optimization parameters were subject to realistic constraint. The optimization is done using a seventh order nonlinear model of a s...

This paper studies the evolutionary design of a fuzzy P+ID controller for an actual pneumatic muscle actuator system. The control of pneumatic muscles is a challenging problem because of their high degree of nonlinearity, time-varying parameters, and uncertainty. A fuzzy P+ID controller is constructed using an incremental fuzzy logic controller in place of the proportional term in a conventiona...

Intelligent traffic signal control (TSC) system is important for the alleviation of traffic congestion. Usually, most of the researches about TSC focused on single intersection based on type-1 fuzzy set. Compared with type-1 fuzzy logic controller (FLC), type-2 FLC can deal with more uncertainties in the road traffic control system. Therefore, a type-2 FLC optimized by NSGAII (T2-NSGAII) is des...

Drum Boilers are an important component of many modern industrial facilities. Generally, the simulation of tailormade Drum Boilers starts up at each steady-state condition inside each operation region. The problem of such systems is the control of parameters, as level and pressure, around a reference value. The design of control algorithms can be accomplished using intelligent techniques such a...

Rule-based control strategy has significant advantages of strong robustness and high flexibility, gradually become a classical implementation method to optimize the energy management performance modern energy-storage trams. However, it also faces problems over-reliance on expert experience poor adaptability operating conditions. Therefore, an improved dynamic power distribution for tram lithium...

Cities composed of many mountainous areas necessitate the use tunnels for roads and highways with a potential safety hazard. To determine tunnels, periodic tunnel inspections mainly rely on manual work, which is dangerous slow. Therefore, this paper proposes an auto-inspection system inspection consisting robotic arm, laser sensors, radar to free inspectors from hazardous environments high-inte...

In the process of anaerobic dry fermentation to produce biogas, maintaining a suitable pH in environment is more conducive degradation crop straw. When too low, digestion by bacteria inhibited. Therefore, it necessary quickly adjust pH. this work, we studied control technology regulation system and then constructed T-S fuzzy controller. Upon simplifying controller, delay time was reduced, two g...

This paper presents an optimum network structure based on a BBO tuned adaptive neuro-fuzzy inference system (ANFIS) to control active suspension (ASS). The unsupervised learning via Biogeography-Based Optimization (BBO) algorithm is used train the ANFIS network. optimal proportional-integral-derivative controller LQR method generate training data set. base Fuzzy c-means (FCM) clustering applied...