This paper shows the application of a 2DOF robust discrete deadtime compensator to a evaporation process in a sugar factory. The proposed controller is tuned using performance and robustness specifications and it is specially designed for integrative plants as is the case of the level control of the principal unit of the evaporator. A comparative analysis with the PID installed in the unit is p...

The Proportional Integral Derivative (PID) controller is the most adopted controllers for industrial plants, due to its simplicity and satisfactory performances for a wide range of processes. It should be noted that the accurate and efficient tuning of parameters such controllers is very important. On the other hand, industrial plants, such as power systems, usually have some features, such as ...

This paper proposes an optimization algorithm for the automatic design of robust PID controllers using Quantitative Feedback Theory (QFT) specifications. The proposed algorithm is based on a criterion to minimize the energy of the control effort. To illustrate the methodology, the pitch angle of a laboratory helicopter is used as a model application with structured uncertainty. The results show...

This paper applies fractional order PID controller to torsional system’s backlash vibration suppression control, in which the order k of D controller can not only be integer but also be any real number. In order to improve control system’s robustness against backlash non-linearity, several methods have been proposed. However their design processes are very complicated. In this paper, a clear an...

In general, to control industrial processes that show an inverse response output is difficult. This difficulty arises because achievable performance and robustness levels are competing factors that the designer has to deal with. In this paper we focus on proportional integral derivative (PID) control of inverse response processes, in particular with the Direct Synthesis design for disturbance r...

The method proposed by Rojas et al.1 for the design of sliding mode controllers (SMC) for unstable first order plus time delay systems, is extended for delay-time constant ratio (*) up to 1.8. The SMC settings obtained for various * are fitted by simple equations. Up to * = 1.2, the method is found to be more robust than that of latest PID Controller proposed by Padmasree et al.2 There is no me...

Implementation of effective control schemes for Nonlinear Systems is currently being studied comprehensively. In this paper, robust control schemes for trajectory tracking of Nonlinear Permanent Magnet Stepper Motor system has been proposed. Direct Quadrature (DQ) transformation technique has been employed to convert the system dynamics to DQ frame. Initially, a conventional PID controller alon...

The control of sprayer boom undesired vibrations pose a great challenge to investigators due to various disturbances and conditions. Sprayer boom movements lead to reduce of spread efficiency and crop yield. This paper describes the design of a novel control method for an active suspension system applying proportional-integral-derivative (PID) controller with an active force control (AFC) schem...

We introduce a novel and robust active queue management (AQM) scheme based on a fuzzy controller, called hybrid fuzzy-PID controller. In the TCP network, AQM is important to regulate the queue length by passing or dropping the packets at the intermediate routers. RED, PI, and PID algorithms have been used for AQM. But these algorithms show weaknesses in the detection and control of congestion u...

We introduce a novel and robust active queue management (AQM) scheme based on a Proportional-IntegralDerivative (PID) controller, called Neuron PID, that uses an adaptive neuron to tune its parameters. We demonstrate by simulations that Neuron PID stabilizes the router queue length regardless of the round trip delay better than other well-known AQM algorithms.