This paper demonstrates the potential of applying PDlike fuzzy logic controller for active vibration control of piezoelectric Stewart platforms. Through simulation, the control authority of the piezo stack actuators for effectively damping the Stewart platform vibration can be evaluated for further implementation of the system. Each leg of the piezoelectric Stewart platform consists of a linear...

Reinforcement learning is one of the more attractive machine learning technologies, due to its unsupervised learning structure and ability to continually learn even as the environment it is operating in changes. This ability to learn in an unsupervised manner in a changing environment is applicable in complex domains through the use of function approximation of the domain’s policy. The function...

this paper investigates the use of self learning fuzzy PD controller applied to SVC device for improving damping inter-area modes of oscillations. The SLFLC utilizes sensitivity model for learning of SLFLC parameters. This has been enhanced by adding an integral term whose gain coefficient is also synthesized by learning that is actuated after completion of the main learning algorithm. The pape...

This paper presents a performance based comparative study of various fuzzy logic controllers (FLCs) to control the speed of squirrel-cage induction motor (SCIM) by replacing the conventional proportional??integral (PI) controller. The fuzzy logic based controller does not require any identification of motor dynamic to control its speed and also assures the disturbance rejection with high robust...

This work presents an efficient method based on a modified fuzzy PI control with parallel fuzzy PD control for automatic generation control (AGC) of a two-area power system. This describes the control schemes required to operate the two-area power system in the steady state. The model of a two-area power system is established using the equations describing dynamic behaviour of a two-area power ...

In this article the designing method of a fuzzy speed controller for DC drives is presented. The designing phase consists of choosing the number of membership functions for input/output and constructing the minimal rule base. The design phase is completed with tuning the input/output membership functions using genetic algorithm. The difference between the actual and the expected transfer functi...

Product-sum-type fuzzy controllers are known to have similar characteristics to PD-type controllers. In the case of type-0 control systems, PID-type fuzzy controllers have been proposed in the literature in order to eliminate the steady-state error. However, these control methods, essentially based on conventional PID theory, have no predictive capabilities. The concept of grey system theory, w...

Achieving high performance controller for multi-joints actuators on rehabilitation lower limb exoskeleton (RLLE) is difficult due to its non-linear characteristics. The with less tracking error a key challenge in their controller. Therefore, this paper presents new particle swarm optimization based initialization of model reference adaptive fuzzy logic proportional derivative (Adaptive-FLC-PD),...