This paper describes a new methodology for the systematic design of fuzzy PID controllers based on theoretical fuzzy analysis and genetic-based optimization. An important feature of the proposed controller is its simple structure. It uses a one-input fuzzy inference with three rules and at most six tuning parameters. A closed-form solution for the control action is defined in terms of the nonli...

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...

Three new direct synthesis methods providing new simple rules of tuning the Pseudo-Derivative Feedback controller for integrating as well as stable or unstable first order processes with time delay are presented. The proposed control structure and tuning methods ensure smooth closed-loop response to set-point changes, fast regulatory control and sufficient robustness against parametric uncertai...

In this paper, a high-performance optimal fractional emotional intelligent controller for an Automatic Voltage Regulator (AVR) in power system using Cuckoo optimization algorithm (COA) is proposed. AVR is the main controller within the excitation system that preserves the terminal voltage of a synchronous generator at a specified level. The proposed control strategy is based on brain emotional ...

This paper presents a novel method of PID controller tuning suitable for higher-order aperiodic processes and aimed at step response-based auto-tuning applications. The PID controller tuning is based on the identification of so-called n-th order lag (PTn) process model and application of damping optimum criterion, thus facilitating straightforward algebraic rules for the adjustment of both the ...

This paper suggests an auto-tuning method of PID trajectory tracking controller for robotic manipulators. In general, the PID trajectory tracking controller for mechanical systems shows the performance limitation. Since the control system including performance limitation can not have equilibrium points, we define newly the quasi-equilibrium region as an alternative for equilibrium point. Also, ...

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...

PID controllers are designed and optimized in this paper for wood-berry distillation column using simulated annealing algorithm and particle swarm optimization method. PID controllers are the common instruments used in control applications. Construction of PID controllers is smooth and easy. It furnishes more stability and malleable while governing the processes. Thousands of PID loops strive t...

This paper presents a method for tuning the scaling factors of PID type fuzzy controllers. The method tunes the input scaling factor related to change in error and the output scaling factor related to integral output of PID type of fuzzy controller using model error, error between reference model and process. Fuzzy Controller used is typical fuzzy PID type of controller in which the scaling fac...

This paper presented a review study on speed control of proportional integral derivative (PID) controller for speed control of DC motor using soft computing techniques. Now a days, DC motor is widely used in industries due to its wide range of speed control even if its maintenance cost is higher than the other motors like induction motor etc. The speed control of DC motor is very interesting fr...