Proportional Integral Derivative (PID) Controller is a primary component in industrial control systems nowadays. Its gain parameters have a powerful effect on its transient response criteria such as integral squared error (ISE), settling time, rise time and overshooting. Tuning gain parameters of PID to reach the optimal transient response of control systems is a hard problem. The standard meth...

This paper present a particles swarm optimization (PSO) method for determining the optimal proportional – integral derivative (PID) controller parameters, for the control of nonholonomic mobile robot that involves path tracking using two optimized PID controllers one for speed control and the other for azimuth control. The mobile robot is modelled in Simulink and PSO algorithm is implemented us...

Although the proportional-integral-derivative (PID) controller has only three parameters, it is not easy, without a systematic procedure, to find good values (settings) for them. In fact, a visit to a process plant will usually show that a large number of the PID controllers are poorly tuned. The tuning rules presented in this chapter have developed mainly as a result of teaching this material,...

In this paper, integral plus double derivative (IDD) in coordination with Thyristor Controlled Phase Shifter (TCPS) is applied for the first time in automatic generation control (AGC) system. Comparative studies on the performance of different classical controllers viz. integral (I), proportional plus integral (PI), proportional plus integral plus derivative (PID) and integral plus double deriv...

In this paper, a novel Set Point Weighted Proportional Integral Derivative (SPWPID) controller has been proposed for the Magnetic levitation (Maglev) system in Simulink and real time. The recently evolved Teaching Learning Based Optimization (TLBO) has been used to identify the suitable controller parameter values by optimizing the objective function. The performance of the SPWPID controller is...

Combustion control of an industrial stoker-"red boiler is to provide a continuous supply of steam at the desired condition of pressure. Because no e$cient mathematical model of the stoker-"red boiler is available, it would be very hard to design its controller by using any traditional model-based method. Therefore, the most widely used controller for the boiler system is a conventional PID-type...

In chemical industries in mid 90’s, process engineers were using the classical controller tuning methods to find the controller parameter values like Kp, Ki ,and Kd. The classical controller tuning methods may require complex computations to identify the controller parameters. With the evolution of soft computing methods these classical control methods were eliminated. This paper focus on desig...

Hard-disk drives (HDD‘s) are widely used data storage medium for computers and many other data processing devices. The servo mechanism in HDD plays an important role in high performance requirements of HDD‘s. Gain variations present in hard ware components of HDD‘s affects the consistent track following performances. So the servo system needs to improve in track following and robustness perform...

This paper proposes a swarm intelligence method that yields optimal Proportional-Integral-Derivative (PID) Controller parameters of a power system stabilizer (PSS) in a single machine infinite bus system. The proposed method utilizes the Particle Swarm Optimization (PSO) algorithm approach to generate the optimal tuning parameters. The paper is modeled in the MATLAB Simulink Environment to anal...

In this paper, an evolutionary computing approach for determining the optimal values of the proportional-integral-derivative (PID) controller has been proposed. Proper tuning of such controllers is obviously a prime priority as any other alternative situation will require a high degree of industrial expertise. This paper demonstrated in detail how to employ the PSO method to search efficiently ...