In order to optimize the parameters of fractional order PID controller of complex system, an adaptive particle swarm optimization (PSO) method is proposed to realize the parameters adjustment. In this algorithm, the tuning particle population is divided into three subgroups firstly, and through introducing the swarm-aggregation degree factor and the evolution speed factor of particle, dynamical...

Abstract—Control of a semi-batch polymerization reactor using an adaptive radial basis function (RBF) neural network method is investigated in this paper. A neural network inverse model is used to estimate the valve position of the reactor; this method can identify the controlled system with the RBF neural network identifier. The weights of the adaptive PID controller are timely adjusted based ...

This paper presents the design of a neural network based feedback linearization (NNFBL) controller for a two degree-offreedom (DOF), quarter-car, servo-hydraulic vehicle suspension system. The main objective of the direct adaptive NNFBL controller is to improve the system’s ride comfort and handling quality. A feedforward, multi-layer perceptron (MLP) neural network (NN) model that is well suit...

The Proportional-Integral-Derivative (PID) controller, a fundamental element in industrial control systems, plays pivotal role regulating an extensive array of controlled objects. Accurate and rapid adaptive tuning PID controllers holds significant practical value fields such as mechatronics, robotics, automatic control. three parameters the controller exert substantial influence on performance...

In the current study, an adaptive PID controller is proposed for fault-tolerant control of a quadrotor helicopter system in the presence of actuator faults. A fuzzy inference scheme is used to tune in real-time the controller gains. Tracking errors and change in tracking errors are used in this fuzzy scheduler to make the system act faster and more effectively in the event of fault occurrence. ...

Aiming at the uncertainty of model parameters and dominate time delay of the controlled object in feed water system of boiler, combined with improved Smith predictor control method and fuzzy immune PID control method, improved Smith predicting controller based on fuzzy immune is designed. Fuzzy Immune PID controller can self-tune parameters, and has adaptive capacity to the diversification of c...

Due to nonlinear P-V characteristics of photovoltaic generator, a maximum power point tracking(MPPT) algorithm is needed to optimize the performance of photovoltaic (PV) system.In this paper, an adaptive fuzzy proportional integral derivative (AFPID) control based maximum power point tracking strategy for photovoltaic system is proposed. The proposed adaptive fuzzy PID method integrates two lev...

Permanent Magnet Synchronous Motor (PMSM) is a non-linear, complex time-varying system. The control performance is not satisfactory in the traditional PID control method. Based on the combination of PI and fuzzy control, the controller of fuzzy self-adaptive PI was designed in this paper. The PID parameters can be set with fuzzy algorithmic approach automatically. Experimental results show that...