Some Results Of Control And Simulation Of Neuro Arm Robot

In this paper they are presented the control algorithms of integer and fractional order PID control in the position control of a 3 DOF`s robotic system (NeuroArm).Finally, the effectiveness of proposed control is illustrated on given robot as well as using model of NeuroArm

Some Results Of Control And Simulation Of Neuro Arm Robot

In this paper they are presented the control algorithms of integer and fractional order PID control in the position control of a 3 DOF`s robotic system (NeuroArm).Finally, the effectiveness of proposed control is illustrated on given robot as well as using model of NeuroArm

Control of Air Pressurizer Levels on Pressurized Water Reactor (PWR) with Fractional Order PID Control System

The water level control system in the pressurizer is carried out for safety purposes when the PWR reactor is operating. Control is done by maintaining the water level in the pressurizer at a certain level. The height of the water level in the pressurizer will change according to the conditions of the nuclear reactor. This research aimed to obtain the best safety control system using the fractional order PID (FOPID) control system and prove that using the control system will provide better results than other existing system applications. In this research, the optimum gain control of FOPID is obtained with Kp equals 416.4, Ki equals 416.4, Kd equals 104.1, constitutes integral equals 0.15, and derivative order equals 1.9, which results in 324 times faster settling time and maximum overshoot 1.5 times lower when compared to conventional PID controllers combined with CMAC.DOI: http://dx.doi.org/10.17977/um024v5i22020p07

Trajectory Tracking Error Using Fractional Order PID Control Law for Two‐Link Robot Manipulator via Fractional Adaptive Neural Networks

The problem of trajectory tracking of unknown nonlinear systems of fractional order is solved using fractional order dynamical neural networks. For this purpose, we obtained control laws and laws of adaptive weights online, obtained using the Lyapunov stability analysis methodology of fractional order. Numerical simulations illustrate the obtained theoretical results

Optimal v-plane robust stabilization method for interval uncertain fractional order pid control systems

Robust stability is a major concern for real-world control applications. Realization of optimal robust stability requires a stabilization scheme, which ensures that the control system is stable and presents robust performance for a predefined range of system perturbations. This study presented an optimal robust stabilization approach for closed-loop fractional order proportional integral derivative (FOPID) control systems with interval parametric uncertainty and uncertain time delay. This stabilization approach, which is carried out in a v-plane, relies on the placement of the minimum angle system pole to a predefined target angle within the stability region of the first Riemann sheet. For this purpose, tuning of FOPID controller coefficients was performed to minimize a root angle error that is defined as the squared difference of minimum angle root of interval characteristic polynomials and the desired target angle within the stability region of the v-plane. To solve this optimization problem, a particle swarm optimization (PSO) algorithm was implemented. Findings of the study reveal that tuning of the target angle can also be used to improve the robust control performance of interval uncertain FOPID control systems. Illustrative examples demonstrated the effectiveness of the proposed v-domain, optimal, robust stabilization of FOPID control systems. © 2021 by the authors. Li-censee MDPI, Basel, Switzerland

A rubust fractional order PID controller for MIMO power systems

This paper proposes a novel fractional order PID control scheme for Multi Input and Multi Output (MIMO) power systems. This control scheme utilizes Cuckoo Search algorithm to tune the fractional PID controller to guarantee better closed loop performance in the transmission or distribution networks. Cuckoo Search optimization algorithm is proposed to optimize gain values of the fractional PID controller. The effectiveness of the proposed control strategy has been assessed by simulations in MATLAB/Simulink platform. The robustness of the proposed controller has been validated by varying the plant parameters