Abstract Variations of load demands, expansion power system by interconnections among different areas and integration renewable energy sources bring new challenges for stable, reliable uninterrupted operations systems. In this paper, a control technique is proposed to optimize the performances three models having importance in present future These are output variations an automatic voltage regu...

This paper presents a modified Iteration Particle Swarm Optimization (IPSO) algorithm to tune optimal gains of a Proportional Integral Derivative (PID) type multiple stabilizers and non-smooth nonlinear parameters (such as saturation limits) for multi machine power system, simultaneously. The problem of robustly tuning of PID based multiple stabilizer design is formulated as an optimization pro...

Electrohydraulic servo system has been used in industry in a wide number of applications. Its dynamics are highly nonlinear and also have large extent of model uncertainties and external disturbances. In order to in-crease the reliability, controllability and utilizing the superior speed of response achievable from electrohydraulic systems, further research is required to develop a control soft...

China’s field crops such as cotton, wheat, and tomato have been produced on a large scale, but their cultivation process still adopts more traditional manual fertilization methods, which makes the use of chemical fertilizers in China high causes waste fertilizer resources ecological environmental damage. To address above problems, hybrid optimization genetic algorithms particle swarm (GA–PSO) i...

Renewable energy-based hybrid power systems are being increasingly deployed across the globe to reduce carbon emissions. The system frequency and tie-line tend fluctuate due operating conditions. These fluctuations can be maintained within desired limits using optimally designed controllers. In this article, recently developed improved squirrel search algorithm (ISSA) is used tune parameters of...

Since chaos systems generally have the intrinsic properties of sensitivity to initial conditions, topological mixing and density of periodic orbits, they may tactfully use the chaotic ergodic orbits to achieve the global optimum or their better approximation to given cost functions with high probability. During the past decade, they have increasingly received much attention from academic commun...

It is difficult to control the movement of the robot arm due to its nonlinear structure. PID controller is still in the world because of its simplicity in designing this controller as the main controller. The nonlinear control technique is very complicated, and this is not very interesting in the controller. While fuzzy control has a better performance, it incorporates a fuzzy control with ...

This paper presents a development of a self-tuning fuzzy PID controller to overcome the appearance of nonlinearities and uncertainties in the system. The self-tuning fuzzy PID controller is the combination of a classical PID and fuzzy controller. The controller is designed based on the expert knowledge of the system. Fuzzy logic is used to tune each parameter of PID controller. Appropriate fuzz...

In this paper, two optimization methods are used to adjust the gain values for cascade PID controller. These algorithms butterfly algorithm (BOA), which is a modern method based on tracking movement of butterflies scent fragrance reach best position and second particle swarm (PSO). The controllers in system control position, velocity, current permanent magnet DC motor (PMDC) with an accurate tr...