3 Corresponding Author Robust PID Control in Chemical Process Industries Rakesh Joshi, Kostas Tsakalis, J. Ward MacArthur, Sachi Dash Abstract Robust control design has been increasingly used in industrial settings by leading automation companies. The design procedure has evolved in the last decades and fairly automated procedures exist now for use by practicing engineers or even operators. One...

There is a growing interest in the modeling and control of model helicopters using nonlinear dynamic models and nonlinear control. Application of a new intelligent control approach called Brain Emotional Learning Based Intelligent Controller (BELBIC) to design autopilot for an autonomous helicopter is addressed in this paper. This controller is applied to a nonlinear model of a helicopter. This...

Adaptive robust control schemes are developed for the trajectory tracking control of robot manipulators. The schemes utilize a dynamic sliding mode and achieve a guaranteed transient performance and nal tracking accuracy in the presence of both parametric uncertainties and uncertain nonlinearities. In the absence of uncertain nonlinearities, the schemes also achieve asymptotic tracking. In addi...

In this paper, the position control of a detuned indirect field oriented control (IFOC) induction motor servo drive is studied. A PID-fuzzy logic position controller (PID-FLPC) is designed and analyzed to achieve high-dynamic performance both in the position command tracking and load regulation characteristics for robotic applications. The performance of the proposed PID-fuzzy logic and synchro...

The proportional-integral-derivative (PID) control structures have been widely used in industrial applications due to their design/structure simplicity and inexpensive cost. The success of the PID controllers depends on the appropriate choice of their parameters. In practice, tuning the PID parameters/gains is usually realized by classical, trial-and-error approaches, and experienced human expe...

A novel Modified PID (MPID) controller is developed to control and minimize the effect of hysteresis in Pneumatic proportional valves. It consists of four parts: a Proportional-Integral-Derivative (PID) controller, a Feedforward term, an Anti-Windup mechanism, and a Bang-Bang controller. The result is a unique Modified PID (MPID) control scheme that demonstrates better command following and dis...

Proportional-Integral-Derivative (PID) control is the most widely used control method in industrial and academic applications due to its simplicity and efficiency. Several different control methods/algorithms have been proposed to tune the gains of PID controllers. However, the conventional tuning methods do not have sufficient performance and simplicity for practical applications, such as robo...

This paper presents the first studies on robust closedloop deflection control of vanadium dioxide (VO2 )-based microactuators using self-sensing. The deflection output of the microactuator is estimated by VO2 resistance-based self-sensing through a high-order polynomial in order to eliminate the need for complicated external sensing mechanisms. An H∞ robust controller is designed and implemente...

Heating, Ventilating and Air Conditioning (HVAC) plant is a multivariable, nonlinear and non minimum phase system, which control of this plant, is very difficult. This paper presents a new approach to control of HVAC system. The proposed method is a hybrid of fuzzy logic and PID controller. Simulation results show that this control strategy is very robust, flexible and alternative performance. ...