The static synchronous compensator (STATCOM) has recently received much attention owing to its ability to stabilize power systems and mitigate voltage variations. This paper investigates a novel interval type-II fuzzy rule-based PID (proportional-integral-derivative) controller for the STATCOM to mitigate bus voltage variations caused by large changes in load and the intermittent generation of ...

Image denoising is one of the important image processing techniques to reduce noises from a corrupted image. This paper proposes a new efficient fuzzy based filter for the restoration of images that are corrupted with Gaussian noise in gray and color images. This filter is applied iteratively to reduce heavy noise in images. The proposed scheme is simulated using standard image of lena under di...

Over the past 10 years there has been a growing need to introduce closed-loop control technology for vibration suppression of buildings subject to wind or earthquake disturbances. This paper deals with the investigation of the effectiveness of a fuzzy logic based time variable damping tuned mass damper (TMD) on a building structure undergoing free and forced vibrations. The uniqueness of this a...

Abstract—This paper presents a comparative evaluation of Proportional Integral Derivative (PID) Controller and Fuzzy Logic Controller (FLC) for a modified LCL-T (inductor capacitor inductor) Series Parallel Resonant Converter (SPRC) has been simulated and the performance is analysised. A three element LCL-T SPRC working under load independent operation (voltage type and current type load) is pr...

The objective of this paper is to realize a fuzzy logic controller for an aeroload simulator, which simulates the aerodynamic load that a missile is subjected to on flight. In this paper, we propose a new fuzzy logic controller using the phase plane, in order to improve the overall performance of the aeroload simulator system. The design procedure and method of this controller are easy and simp...

In this paper, a hybrid fuzzy controller based on a fuzzy proportionalintegral plus conventional derivative control structure is proposed to control a class of single-input single-output nonlinear systems. The proposed controller is capable of generating both linear and nonlinear outputs so that the closed-loop system is equivalent to a feedback connection of a linear system and a nonlinear ele...

Many types of controllers were applied on the continuous stirred tank reactor (CSTR) unit to control the temperature. In this research paper, Proportional-Integral-Derivative (PID) controller are compared with Fuzzy Logic controller for temperature control of CSTR. The control system for temperature non-isothermal of a CSTR will produce a stable response curve to its set point temperature. A ma...

AbstructWhile proportional integral derivative (PID) controllers are widely used in industrial applications, they exhibit poor performance when applied to systems containing unknown nonlinearities, such as deadzones, saturation, and hysteresis. In this paper, we propose a fuzzy logic-based precompensation approach for PID controllers. We demonstrate the performance of our scheme via experiments...

In this paper, a Proportional-Derivative and Integral (PD-I) type Fuzzy-Neural Network Controller (FNNC) based on Sugeno fuzzy model is proposed for brushless DC drives to achieve satisfied performance under steady state and transient conditions. The proposed FNNC uses the speed error, change of error and the error integral as inputs. While the PD-FNNC is activated in transient states, the PI-F...

In this paper, we apply the concept of Caputo’s H-differentiability, constructed based on the generalized Hukuhara difference, to solve the fuzzy fractional differential equation (FFDE) with uncertainty. This is in contrast to conventional solutions that either require a quantity of fractional derivatives of unknown solution at the initial point (Riemann–Liouville) or a solution with increasing...