BP Neural Network has a longer training time and a slow convergence. To deal with the defects of BP Neural Network a modified BP algorithm is proposed in the paper. The algorithm is applied for the control of Inverted Pendulum, a highly non linear system inherently being open loop unstable. Levenberg-Marquardt algorithm is used for the training purpose. The training samples are being collected ...

The DC-DC boost converter reveals highly non-linear and non-minimum phase properties, is very difficult task to design a controller that is healthy against load variation. For this purpose a Fuzzy PID Controller is proposed to control DC-DC boost converter which has a practical inductor and a series resistance. A balancing ProportionalIntegral-Differential (PID) controller to the parallel-dampe...

This work shows a controller development for cylinder penumatic, that due to compressibility air characteristics, present a non linear behavior. Is including the develop of PID, discreete PID and Fuzzy Logic approximation, as solution to the problem. The work is part of a major project of Flexible Manipulator Robot, with dielectrics characteristics, for cleaning of porcelain isolators of high v...

PID controller (which is an acronym to “proportional, integral and derivative”) is a type of device used for process control. As first practical use of PID controller dates to 1890s (Bennett, 1993), PID controllers are spread widely in various control applications till these days. In process control today, more than 95% of the control loops are PID type (Astrom et al., 1995). PID controllers ha...

The objective of this study is to present an offline control of highly non-linear inverted pendulum system moving on a plane inclined at an angle of 10° from horizontal. The stabilisation was achieved using three different soft-computing control techniques i.e. Proportional-integral-derivative (PID), Fuzzy logic and Adaptive neuro fuzzy inference system (ANFIS). A Matlab-Simulink model of the p...

Even though employed widely in industrial practice, the popular proportional– integral–derivative (PID) controller has weaknesses that limit its achievable performance. In this paper, an alternative control scheme that combines the simplicity of the PID controller with the versatility of model predictive control is presented. The result is a controller that combines the time-delay compensation ...

Magnetic Levitation System (MLS) has become a current study in the field of engineering due to its advantages such as low energy consumption and minimum friction. MLSs are nonlinear unstable systems. Due complexity structure difficulty controls, many advanced control theories can be applied on these systems performance controllers evaluated. In this article, Proportional-Integral-Derivative (PI...

In this work a design for self-tuning non-linear Fuzzy Proportional Integral Derivative (FPID) controller is presented to control position and speed of Multiple Input Multiple Output (MIMO) fully-actuated Autonomous Underwater Vehicles (AUV) to follow desired trajectories. Non-linearity that results from the hydrodynamics and the coupled AUV dynamics makes the design of a stable controller a ve...

Closed-loop stabilization with guaranteed stability margin using Proportional+Integral+Derivative (PID) controllers is investigated for a class of linear multi-input multioutput plants. A sufficient condition for existence of such PID-controllers is derived. A systematic synthesis procedure to obtain such PID-controllers is presented with numerical examples. Keywords– Simultaneous stabilization...