this study on the design of pid controllers for flexible single-arm robot system optimizationpso method is focused so that the coefficients of the pid controller are reduced. in this study,pid controller and pso algorithm have been described and then by using matlab, pidcontrol was simulated. then by pso algorithm, attempts to reduce the pid coefficients are givenby simulation. finally pid coef...

We consider the problem of feedback control when the controller is constructed solely of deterministic spiking neurons. Although spiking neurons and networks have been the subject of several previous studies, analysis has primarily been restricted to a firing rate model. In contrast, we construct a spike timing based deterministic spiking neuron controller whose control output is one or multipl...

The problem of stabilizing a second-order delay system using classical proportional-integralderivative PID controller is considered. An extension of the Hermite-Biehler theorem, which is applicable to quasipolynomials, is used to seek the set of complete stabilizing PID parameters. The range of admissible proportional gains is determined in closed form. For each proportional gain, the stabilizi...

This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...

Functional electrical stimulation (FES) sometimes applies to patients with partial paralysis, so human voluntary control and FES control both exist. Our study aims to build a cooperative controller to achieve human-FES cooperation. This cooperative controller is formed by a classical FES controller and an impedance controller. The FES controller consists of a back propagation (BP) neural networ...

Evolvable hardware (EHW) is a technique introduced to automatically design circuits where the circuit configuration is carried out by evolutionary algorithms. This paper shows that the evolutionary approach can discover the concept and learning behavior of the control systems. The system tested is a nonlinear pendulum. Experiments with different processes indicate that the gains obtained with e...

This paper deals with the designing of neural PID speed controller of Permanent Magnet synchronous Motor (PMSM). The conventional Proportional-Integral-Derivative (PID) controller is largely used in industry because of the robustness this regulator procures. ANN is developed controller in this work, offer inherent advantages over conventional PID controller for PMSM, Reduction of the effects of...

Proportional Integral derivative (PID) controllers are widely used in industrial process control. With its three term functionality providing regulation to both transient and steady state responses, PID control offers the simplest and most efficient solution to many industrial control problems. Tuning of PID gain parameters continuous to be important as these parameters has great influence on t...

this study proposes a combination of a fuzzy sliding mode controller (fsmc) with integral-proportion-derivative switching surface based superconducting magnetic energy storage (smes) and pid tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. the goal of design is to improve the dynamic response of power systems after load demand changes. in t...

This paper presents an approach where the Particle swarm optimization (PSO) is employed to get optimum PID controller parameters to control of a SCARA robot. PSO is an evolutionary technique which is originated from swarm intelligence. A practical application of the PSO-PID controller is performed with the system dynamics. A simulation study is also included with the proposed controller by usin...