This paper provides an empirical investigation between multiple control-theoretic approaches in real-time scheduling systems. These approaches include proportional-integralderivative (PID) and model predictive control. The former is a widely adopted controller due to its simplicity in design and implementation. The latter is considered a sophisticated one in the control community with respect t...

Abstract—With the rapid development of electrical power systems nowadays, stability and reliability features of the network have to be considered strongly to keep the system under normal working conditions. Because of the complexity of a large-scale or multi-area power system, load disturbances can appear randomly at any point of the network which will cause the deviations of the frequency and ...

In this paper we present a methodology for the design of a feedforward control law to be applied to a closed-loop PID-based control system for a multi-input multi-output process in order to achieve a minimum-time rest-to-rest transition of the system from an equilibrium point to another subject to constraints on both the control and process variables. In particular, the proposed approach uses d...

Abstract. Industrial processes are in general multi-input multi-output (MIMO) systems. Despite of that and because of the lack of good fine-tuning algorithms for MIMO controllers, they are usually treated as single-input single-output (SISO) ones for the purposes of control design and implementation. In that cases, the tuning procedure is frequently carried out taken one loop at a time and the ...

This paper presents open loop characteristics of the flexure stage based single input single output (SISO) nanopositioning device. The dynamic characteristics of the device have been analyzed. System characteristics can be improved by using different types of feedback controllers. To provide consistent, reliable and safe solution to the industrial control problems, different tuning schemes such...

This paper proposes a novel Artificial Intelligence technique known as Ant Colony Optimization (ACO) for optimal tuning of PID controllers for load frequency control. The design algorithm is applied to a hydrothermal power system consisting of two control areas one hydro and the other is thermal with reheat stage. To make the system in realistic form, the system nonlinearities represented by Ge...

In this paper, a novel peak observer based adaptive multi-input multi-output (MIMO) fuzzy proportional-integral-derivative (PID) controller has been introduced for MIMO time delay systems. The adaptation mechanism proposed by Qiao and Mizumoto [1] single-input single-output (SISO) systems enhanced system control. tracking, stabilization disturbance rejection performances of the have evaluated c...

Abstract: In this paper, a novel combination of unfalsified control and intelligent control is proposed to improve the dynamic performance of an uncertain system. A PID controller, whose parameters are adaptively tuned by switching among members of a given candidate set using observed plant data, is presented and compared with multi-model adaptive control. Two different cost functions are compa...

The use of soft-computing algorithms in hardware-in-the-loop applications has been investigated. A Proportional-Integral-Derivative (PID) classical controller and a Fuzzy Logic Controller (FLC) were designed and successfully tested on the Turbine Technologies SR-30 turbojet engine for the main-stage operation of the engine. Transfer function model of the plant was obtained using frequency-respo...

In order to achieve feasible and copacetic low energy consuming building, a robust and efficient air conditioning system is necessary. Since heating ventilation and air conditioning systems are nonlinear and temperature and humidity are coupled, application of conventional control is inappropriate. A multi-input multi-output nonlinear model is presented. The temperature and humidity of thermal ...