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In the field of satellite technology and its application, most of the satellite attitude control system uses PID control. However, the conventional PID control has certain limitations in large inertial system, nonlinear system and complex system. In order to overcome these problems, this paper puts forward a novel fuzzy PID controller by using the radial basis function neural network, genetic algorithm...
Despite the rapid advancements in consumer electronics, the data transmitted by sensing devices in a smart home environment are still vulnerable to anomalies due to node faults, transmission errors, or attacks. This affects the reliability of the received sensed data and may lead to the incorrect decision making at both local (i.e., smart home) and global (i.e., smart city) levels. This study introduces...
The severe nonlinearity of translation meshing motor (TMM) make it hard to get a good control performance with conventional proportional-integral-derivative (PID) controller. In this paper, an intelligent PID controller based on fuzzy logic for TMM drive system is developed. The parameters of the proposed controller are tuned online according to fuzzy logic tuning rules which are summarized from the...
The novel translational meshing motor (TMM) has inherent torque ripple because TMM torque is highly nonlinear relationship between rotor position and phase current. The torque ripple of TMM drive system can cause undesirable acoustic noise and vibration. In this paper, a novel controller scheme for TMM is presented. The controller is based on an adaptive neuro-fuzzy inference system (ANFIS) and combines...
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