A control system is a device or set of devices used to manage, command, direct or regulate the behavior of other devices to provide desired system response. PID controllers are the most popular controllers because of their effectiveness, simplicity of implementation and broad applicability. However, PID controller tuning is considered as an obstacle towards having an efficient and stable contro...

In this paper a novel Optimal Type-2 Fuzzy Proportional-Integral-Derivative Controller (OT2FPIDC) is designed for controlling the air supply pressure of Heating, Ventilation and Air-Conditioning (HVAC) system. The parameters of input and output membership functions, and PID controller coefficients are optimized simultaneously by random inertia weight Particle Swarm Optimization (RNW-PSO). Simul...

In this paper research results on control quality improvement by the use of particle swarm optimization algorithm (PSO) was described as an alternative for the classic PID tuning. For the problem of multi-rotor flying robot control, test studies were conducted using a specially for this purpose designed and performed measuring testbed. This solution allows to obtain the angle as a feedback in f...

This paper considers the stabilization of a synchronous machine connected to an infinite bus via a PID. The PID parameters are tuned using hybrid Particle Swarm-Bacteria Foraging Optimization (PSO-BFA). Simulation results are introduced with and without the proposed controller. Also, a comparison study is introduced when using classical PID, only bacteria foraging optimization and when using hy...

In order to improve the performance of the hydraulic support electro-hydraulic control system test platform, a self-tuning proportion integration differentiation (PID) controller is proposed to imitate the actual pressure of the hydraulic support. To avoid the premature convergence and to improve the convergence velocity for tuning PID parameters, the PID controller is optimized with a hybrid o...

The performance of load frequency control (LFC) for isolated multiple sources electric power-generating units with a proportional integral derivative (PID) controller is presented. A thermal, hydro, and gas unit are integrated into the studied system. PID proposed as subordinate to stabilize system when there sudden demand on power particle swarm optimization (PSO) algorithm used obtain optimal...

In This paper uses an Attractive-Repulsive Particle Swarm Optimization (ARPSO) method for determining the optimal parameters of proportional-integral-derivative (PID) controller for temperature control of a shell and tube heat exchanger. Most of the heat exchange process is characteristic of nonlinear, large time delay and time varying. For such process it is very difficult to tune its controll...

Automatic generation control or AGC system is substantial control process that operates perpetually to balance the generation and load in power system at minimum cost. If any kind of mismatch occurs between generation and demand causes the variation in the system frequency from its nominal value. This high frequency deviation may cause system breakdown. In order to maintain the stability, a ver...

The conventional parameter optimisation of PID controller is easy to produce surge and big overshoot, and therefore heuristics such as genetic algorithm (GA), particle swarm optimisation (PSO) are employed to enhance the capability of traditional techniques. But the major problem of these algorithms is that they may be trapped in the local optima of the objective and lead to poor performance. I...