The central air condition system is a complex system. Aimed at the puzzle of optimal status adjusting by once setting parameter of fuzzy PID, the paper proposed a sort of parameter auto-tuning method of fuzzy-PID based on self-learning algorithm. It adopted parameter autotuning technique to adjust the PID parameters in real time so as to ensure good quality of control system. It combined fuzzy ...

Active magnetic levitation control system is an open-loop, unstable, complex, nonlinear and strong coupling control system, which can not achieve good control effect by using conventional PID controller. Therefore, the fractional order PID controller is used in active magnetic control system. The integer order of conventional PID controller is extended to fractional order range, thus there are ...

It is well known that the proportional-integral-derivative (PID) can be applied to solve practical control problems effectively. However, in the face of the high system nonlinearity, the PID controller with fixed parameters may fail to provide satisfactory control performance. To enhance the PID control effect, a new design of the fuzzy gain scheduling of PID controller (FGS-PID) is presented i...

Model predictive control has proved its effectiveness in many industrial applications. Predictive algorithms are available in various commercial control packages but their implementation costs could be considerable. Control of industrial processes is often realized using small industrial controllers that offer only simple control structures, like PID control loop. The aim of the paper is to der...

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...

In this paper, an adaptive PID sliding mode controller is proposed for the position control of electro-hydrostatic actuator(EHA) systems with system uncertainties and saturation in the motor. An EHA prototype is developed and system modeling and parameter identification are executed. Then, adaptive PID sliding mode controller and optimal anti-windup PID controller are designed and the performan...

Based on parameter self-tuning fuzzy PID controller, a fuzzy inference method is utilized to realize automatic regulating PID parameter, and the application of the controller in a system is studied with MATLAB in this paper. The combination of PID controller system and fuzzy controller system combines the convenience of PID control together with the flexibility of fuzzy control, and takes advan...

PID control schemes based on classical control theory, have been widely applied to real control systems. There have been lots of works on tuning PID parameters, since the control performance strongly depends on these parameters. Several self-tuning and auto-tuning PID techniques have been reported for systems with unknown or slowly time-varing parameters. None, however, is applicable to discret...

According to the nonlinear and time-varying uncertainty characteristics of direct drive electrohydraulic servo control system, a self-tuning fuzzy PID control method with speed change integral and differential ahead optimizing operator is put forward by combining fuzzy inference and traditional PID control in this paper. The rule of fuzzy logic is designed, the membership function of the fuzzy ...

We proposed a fuzzy control scheme to implement the cycle-to-cycle control for restoring swing phase of gait using functional electrical stimulation (FES). We designed two fuzzy controllers for the biceps femoris short head (BFS) and the vastus muscles to control flexion and extension of the knee joint during the swing phase. Control capabilities of the designed fuzzy controllers were tested an...