Functional electrical stimulation (FES) is the most commonly used system for restoring function after spinal cord injury (SCI). In this study, we used a model consists of a joint, two links with one degree of freedom, and two muscles as flexor and extensor of the joint, which simulated in MATLAB using SimMechanics and Simulink Toolboxes. The muscle model is based on Zajac musculotendon actuator...

HVDC-Light has the advantages of flexible operating ways and reliability, especially in the transmission problem of offshore wind power. But it needs many PI controllers in the two converters (wind farm side, grid side). So there are many parameters need to be set which is difficult. This paper adopted the control mode that the outside loop controlled the voltage and the inside loop controlled ...

Particle Swarm Optimization technique offers optimal or suboptimal solution to multidimensional rough objective functions. In this paper, this optimization technique is used for designing fractional order PID controllers that give better performance than their integer order counterparts. Controller synthesis is based on required peak overshoot and rise time specifications. The characteristic eq...

Design of an optimal controller requires optimization performance measures that are often noncommensurable and competing with each other. Design of such a controller is indeed a particle swarm optimization (PSO) problem. This paper investigates the comparison of application of PSO based optimization technique and Differential Evolution (DE) for the design of a Thyristor Controlled Series Compen...

The aim of this work is to design a fractional-Order PI controller for Integer-order type systems so that to improve the performance and robustness of integer-order type systems. The design of FO-PI controller in the sense that good set-point tracking and load disturbance rejection is minimized by increasing fractional-order element “α” putting constraint on peak sensitivity function. The metho...

The interconnected systems is continually increasing in size and extending over whole geographical regions, it is becoming increasingly more difficult to maintain synchronism between various parts of the power system. This paper work presents an advanced adaptive Particle swarm optimization technique to optimize the SVC controller parameters for enhancement of the steady state stability & overc...

This paper addresses the design procedure of a fuzzy logic-based adaptive approach for DFIGs to enhance automatic generation control (AGC) capabilities and provide better dynamic responses in multi-area power systems. In doing so, a proportional-integral (PI) controller is employed in DFIG structure to control the governor speed of wind turbine. At the first stage, the adjustable parameters of ...

A design for a model-free learning adaptive control (MFLAC) based on pseudo-gradient concepts and optimization procedure by particle swarm optimization (PSO) is presented in this paper. PSO is a method for optimizing hard numerical functions on metaphor of social behavior of flocks of birds and schools of fish. A swarm consists of individuals, called particles, which change their positions over...

This paper presents the genetic optimization of the parameters of a fuzzy PI controller for UPFC( Unified Power flow controller) using an improved genetic algorithm to enhance the transient stability performance of power systems. The function based Takagi-Sugeno-Kang (TSK) fuzzy controller uses minimum number of rules(hvo rules) and generates the proportional action which by one-to-two inferenc...

Abstract The paper proposes a modified & optimized controller for PV-integrated grid-connected PV systems. As the solar power output depends on environmental conditions, i.e., irradiation and atmospheric temperature, maximum from photovoltaic (PV) module is extracted using perturb observe (P O) algorithm. With variety of controllers, such as conventional proportional integral (PI) particle ...