The classical PID controllers are known to offer very good trade-off between robustness and performance. In practical applications the derivative (D) term of the controller is often not used due to the relatively demanding tuning. On the other hand, in certain applications, the control performance of the PI controller is not sufficient. Recently, it has been shown that disturbance rejection pro...

This paper presents a systematic ap­proach for the design and implementation of temperature controller us­ing Intelligent Fuzzy-PID Hybrid Controller for Temperature control in Process Industry. The proposed approach employs PID based intelligent fuzzycontroller for determination of the optimal results than PID con­troller parameters for a previously identified process plant. Results indicate t...

This paper proposes a novel adaptive genetic algorithm (AGA) for the multi-objective optimization design of a fractional PID controller and applies it to the control of an active magnetic bearing (AMB) system. Different from PID controllers with three constants, the fractional PID controller’s parameters are composed of proportional constant, integral constant, derivative constant, derivative o...

The aim of this paper is to develop an accurate small signals model for a Boost converter operating in continuous conduction mode, and including the internal resistors of elements. This model is then used to synthesise a fuzzy logic controller that guarantees the output voltage regulation with desired performances. A comparative study illustrates the efficiency, the robustness and the flexibili...

In this paper, an attempt is made to apply the African Buffalo Optimization (ABO) to tune the parameters of a PID controller for an effective Automatic Voltage Regulator (AVR). Existing metaheuristic tuning methods have been proven to be quite successful but there were observable areas that need improvements especially in terms of the system's gain overshoot and steady steady state errors. Usin...

The RECCo control algorithm, presented in this article, is based on the fuzzy rule-based (FRB) system named ANYA which has non-parametric antecedent part. It starts with zero fuzzy rules (clouds) in the rule base and evolves its structure while performing the control of the plant. For the consequent part of RECCo PID-type controller is used and the parameters are adapted in an online manner. Th...

Due to simplicity and robustness, classical PID and SMC have been still widely used in practical applications. Performance of these controllers (PID and SMC) depends upon the value of some of the constant controller parameters. To avoid the most commonly used tedious trial and error method, this paper proposes an improved PSO based method for getting the optimized value of these parameters. For...

This paper describes the speed control of dc motor using conventional PID controller and Fuzzy Logic controller. Due to the simplicity in operation, conventional PID controllers were used as a control strategy for various industrial processes from many years. They used mathematical models to control the plant for different process control applications. Fuzzy logic based control systems were int...

Electric power assist steering (EPAS) system provides an important significance in enhancing the driving performance of a vehicle with its energy-conserving features. This paper presents a hybrid PID (Proportional-Integral-Derivative) and particle swarm optimization (PSO) based control scheme to minimize energy consumption for EPAS. This single objective optimization scheme is realized using th...

In this paper, a fractional order (FO) PID controller is designed to take care of various contradictory objective functions for an Automatic Voltage Regulator (AVR) system. An improved evolutionary Non-dominated Sorting Genetic Algorithm II (NSGA II), which is augmented with a chaotic map for greater effectiveness, is used for the multi-objective optimization problem. The Pareto fronts showing ...