Hybrid Fuzzy PID Controller Research Articles

Pitch and Yaw Attitude Control of a Rocket Engine Using Hybrid Fuzzy- PID Controller

The rocket is the only vehicle that launches the spacecraft in the space. The orientation of the spacecraft in pre- cise position is so crucial. But, the motion of the rocket can be influenced by internal and external disturbances. Further- more, the rocket is a multi-input and multi-output nonlinear system whose dynamics are unstable and poorly understood. Hence, attitude control of the rocket is a big challenge with real time. To make the rocket stable against the influences, this paper has examined the control technology such as proportional integral derivative control using anti-windup mecha- nism and linear quadratic regulator theory based on the degree of freedom mathematical model. The transient behaviour of both the controller is not smooth and takes more time to settle in the defined location. Specific to the deficiencies of PID and LQR, the proportional integral derivative controller is combined with a fuzzy logic controller to overcome the defects of PID and LQR. In conclusion, this paper compares the performance analysis of fuzzy-PID controller with linear quad- ratic regulator and proportional integral derivative controller. The simulation results indicate that the hybrid fuzzy-PID controller has a remarkable improvement in terms of overshoot and settling time besides reducing steady state error. The proposed hybrid fuzzy-PID controller eliminates the overshoot completely and produces enormous stability to the rocket engine.

High performance hybrid fuzzy PID controller for permanent magnet synchronous motor drive with minimum rule base

This paper investigates the performance of an improved fuzzy logic controller (FLC) with a reduced rule base vector controlled permanent magnet synchronous motor (PMSM) drive. The FLC is developed with minimum rules to provide high performance operations due to less computational burden. Hybrid control has the advantage of integrating a superiority of two control techniques for better control performance. To enhance the performance of the PMSM drive system, a new control method, hybrid fuzzy logic controller, using minimum rule base is proposed. The proposed hybrid fuzzy logic controller based on accelerated fuzzy proportional plus integral and fuzzy proportional-integral-derivative is suitable for constant speed applications of a PMSM drive.

Hybrid Fuzzy Logic and Pid Controller for PH Neutralization Pilot Plant

Use of Control theory within process control industries has changed rapidly due to the increase complexity of instrumentation, real time requirements, minimization of operating costs and highly nonlinear characteristics of chemical process. Previously developed process control technologies which are mostly based on a single controller are not efficient in terms of signal transmission delays, processing power for computational needs and signal to noise ratio. Hybrid controller with efficient system modelling is essential to cope with the current challenges of process control in terms of control performance. This paper presents an optimized mathematical modelling and advance hybrid controller (Fuzzy Logic and PID) design along with practical implementation and validation of pH neutralization pilot plant. This procedure is particularly important for control design and automation of Physicochemical systems for process control industry.

Brushless DC Motor Fuzzy-PID Hybrid Control System based on Field Orientation Control

By combining field orientation control (FOC) strategy with fuzzy-PID hybrid control, a brushless DC motor hybrid control system based on FOC is designed in this paper. The implementation method is put forward, and system simulation model is established. The simulation results show the control performance of brushless DC motor control system based on fuzzy-PID hybrid control is better than the system based on traditional PID control, response being faster, torque ripple being smaller. STM32F103B is used as the control core to design the brushless DC motor hybrid control system based on FOC. A brushless DC motor PC (personal computer) monitoring system is designed by VB (Visual Basic). The measured current curve of system is consistent with theory, the measured result show the value of phase difference between two phase currents is 120 degrees, and current waveform is approximate sine wave. The speed curve from monitoring system shows good performance of designed system, response is fast, speed ripple is small, and operation is stable.

Fuzzy Self-Tuning PID Controller in SEHS

Because of the existing hybrid fuzzy PID controller does not perform, using electric hydraulic servo system application (SEHS). Therefore, when the system parameters change will require a new adjustment of PID controller variable. Therefore, a hybrid fuzzy and fuzzy self-tuning PID control was put forward. With this control scheme was divided into two parts, and the fuzzy controller and fuzzy self-tuning PID controller. Fuzzy controller is used to control the output of the system of the values of the system away from target value. We proved that the performance of the control scheme through the experiment of the motor speed control SEHS. The experimental results show that the proposed a hybrid fuzzy PID controller and fuzzy self-tuning effect is better than that of a hybrid fuzzy and PID controller.

Application of Hybrid Fuzzy-PID Control with Coupled Rules in the Hydraulic Positioning System

According to the nonlinearity and time-variation of the positioning control in hydraulic system, a kind of Hybrid Fuzzy-PID Controller with Coupled Rules (HFPIDCR) is proposed. In this control system, the bulk modulus is considered as a variable. The novelty of this controller is to combine the fuzzy logic and PID controllers in a switching condition. Simulation results of the HFPIDCR are compared with the results of traditional PID, Fuzzy Logic Controller (FLC), and Hybrid Fuzzy-PID Controller (HFPID). It is demonstrated that the HFPIDCR has fast response, short adjustment time, high control precision and other advantages, and it can meet the requirements of the positioning control in hydraulic system.

Application of hybrid fuzzy PID controller for three-area power system with generation rate constraint

This paper presents a new approach for load frequency control of three-area interconnected reheat thermal power system with the consideration of generation rate constraint (GRC). The PID-type fuzzy controller is combined with a conventional PID controller to enhance the performance and robustness of the controller. The proposed controller called hybrid fuzzy PID (HFLPID) controller has been designed for a three-area connected power system. Two performance criteria were utilised for the comparison. First, settling times and overshoots of the frequency deviation were compared. Later, integral of time multiplied absolute error (ITAE) analysis was carried out to compare all the controllers. All the models were simulated by MATLAB 7.0/Simulink software. The simulation results show that the proposed controller developed in this study performs better than the other controllers. Robustness of proposed controller is checked by analysing the system response with varying system parameters.

Hybrid Fuzzy PID Control for Synchrodrive System of Dual Linear Motors

In this paper, a synchrodrive scheme for dual linear motors position servo system in gantry moving type milling machine is presented. The feedforward control, disturbance observer and electrical cross coupled control algorithm based on fuzzy PID are applied to the position servo system to counteract the influence of mechanical coupling rapidly, and then meet dynamic synchronized performance in machining. From the simulated, the results show that the proposed control method is effective and yield superior performance.

Modeling and control of a nonlinear half-vehicle suspension system: a hybrid fuzzy logic approach

Modeling and control of vehicle suspension system are high noteworthy from safety to comfort. In this paper, an analytical nonlinear half-vehicle model which is included quadratic tire stiffness, cubic suspension stiffness, and coulomb friction is derived based on fundamental physics. A hybrid fuzzy logic approach which combines fuzzy logic and PID controllers is designed for reducing the vibration levels of passenger seat and vehicle body. Performances of designed controllers have been evaluated by numerical simulations. Comparisons with classical PID control, Fuzzy Logic Control (FLC) and Hybrid Fuzzy-PID control (HFPID) have also been provided. Results of numerical simulations are evaluated in terms of time histories of displacement and acceleration responses and ride index comparison. A good performance for the Hybrid Fuzzy-PID controller with coupled rules (HFPIDCR) is achieved in simulation studies despite the nonlinearities.

Simulation and hybrid fuzzy-PID control for positioning of a hydraulic system

Accuracy and precision of position control of hydraulic systems are key parameters for engineering applications in order to set more economical and quality systems. In this context, this paper presents modeling and position control of a hydraulic actuation system consisting of an asymmetric hydraulic cylinder driven by a four way, three position proportional valve. In this system model, the bulk modulus is considered as a variable. In addition, the Hybrid Fuzzy-PID Controller with Coupled Rules (HFPIDCR) is proposed for position control of the hydraulic system and its performance is tested by simulation studies. The novel aspect of this controller is to combine fuzzy logic and PID controllers in terms of a switching condition. Simulation results of the HFPIDCR based controller are compared with the results of classical PID, Fuzzy Logic Controller (FLC), and Hybrid Fuzzy-PID controller (HFPID). As a result, it is demonstrated that Hybrid Fuzzy PID Controller with Coupled Rules is more effective than other controllers.

A Hybrid of Fuzzy and Proportional-Integral-Derivative Controller for Electro-Hydraulic Position Servo System

Problem statement: While classical PID controllers are sensitive to variations in the system parameters, Fuzzy controllers do not need precise information about the system variables in order to be effective. However, PID controllers are better able to control and minimize the steady state error of the system. To enhance the controller performance, hybridization of these two controller structures comes to one mind immediately to exploit the beneficial sides of both categories. Approach: A hybrid fuzzy PID controller for the Electro-Hydraulic Position Servo System (EHPSS) was proposed in this study. The proposed control scheme was separated into two parts, fuzzy controller and PID controller. Fuzzy controller was used to control the piston when the piston locates far away from the target position. PID controller is applied when the piston is near the desired position. Results: We demonstrated the performance of control scheme via experiments performed on the EHPSS. Conclusion: The results from the experiments showed that the proposed hybrid fuzzy PID controller has superior performance compared to individual PID controller and fuzzy controller.

Development of pressure control system in counter gravity casting for large thin-walled A357 aluminum alloy components

Counter gravity casting equipments(CGCE) were widely used to produce large thin-walled A357 aluminum alloy components. To improve the pressure control precision of CGCE to get high quality castings, a pressure control system based on fuzzy-PID hybrid control technology and the digital assembled valve was developed. The actual pressure tracking experiment results show that the special system by applying PID controller and fuzzy controller to varied phases, is not only able to inherit the small error and good static stability of classical PID control, but also has fuzzy control's advantage of fully adapting itself to the object. The pressure control error is less than 0.3 kPa. By using this pressure control system, large complex thin-walled A357 aluminum alloy castings with high quality was successfully produced.

DSP-Based Laboratory Implementation of Hybrid Fuzzy-PID Controller Using Genetic Optimization for High-Performance Motor Drives

This paper presents a real-time implementation of a genetic-based hybrid fuzzy-proportional-integral-derivative (PID) controller for industrial motor drives. Both the design of fuzzy-PID (FPID) controller and its integration with the conventional PID in global control system to produce a hybrid design are demonstrated. A genetic optimization technique is used to determine the optimal values of the scaling factors of the output variables of the FPID controller. The objective is to utilize the best attributes of the PID and FPID controllers to provide a controller which will produce better response than either the PID or FPID controller. The principle of the hybrid controller is to use a PID controller, which performs satisfactorily in most cases, while keeping in the background a FPID controller, which is ready to take over the PID controller when severe disturbances occur. The hybrid controller is formulated and implemented in real time, using the speed control of a brushless drive system as a testbed. The design, analysis, and implementation stages are carried out entirely using a dSPACE DS1104 digital-signal-processor-based real-time data acquisition control system and MATLAB/Simulink environment. Experimental results show that the proposed FPID controller-based genetic optimization produces better control performance than the conventional PID controllers, particularly in handling nonlinearities and external disturbances.

Application of Hybrid Fuzzy PID Control to Auxiliary Workpiece Table

In order to eliminate the non-linearity of a grinding auxiliary workpiece table, a hybrid fuzzy PID controller has been developed. The two-dimensional fuzzy control with self-tuning factor is utilized to improve the performance. The Max-Min inference mechanism and COG defuzzification method are used to obtain the crisp output of the fuzzy controller. To eliminate the oscillation at balance position, the conventional PID controller is used in the small range of the error and the switch between two controllers can automatically realize according the preset value. Simulation and experimental testing have been carried out to validate the performance of the hybrid fuzzy PID controller.

Vibration Control of Flexible Structures with PZT Sensors and Actuators

In this paper, a two-degree-of-freedom model has been constructed for a structural dynamic system consisting of a linear elastic plate bonded with piezoelectric sensors and actuators. A multivariable feedback controller is designed. Four control procedures based on the minimization of performance output error and the quadratic performance index have been developed that use rate-feedback control, hybrid fuzzy-PID con trol, genetic algorithms-designed PID control, and linear quadratic Gaussian/loop transfer recovery control methods. Here, the genetic algorithm fitness function is approximately proportional to the inverse of the out put error. To test these control techniques in an efficient and systematic way, we built a digital control system that consists of MATLAB/SIMULINK modeling software and a dSPACE DS 2100 controller in a personal computer. The real-time experiment and off-line simulation results confirm that these four kinds of control methods are reliable and efficient in suppression of the steady-state resonance vibrations.

BCD-4 THE ADAPTIVE FUZZY CONTROL STRATEGY OF AUTOPILOT SYSTEM FOR CVT VEHICLE(BELT AND CHAIN DRIVES)

To study fuzzy control strategy of the autopilot system for the CVT vehicle, the simple autopilot system and the CVT car model on a chassis dynamometer test bench are established in this paper. Considering the highly nonlinear multiple-input-multiple-output coupling system of CVT system, and various driving condition and complex external resistance disturbance, the fuzzy-PI control algorithm of parameters self-tuning is employed in the throttle controller, and the hybrid fuzzy-PID control algorithm is adopted in the engine speed controller. The results of simulation show that the adaptive fuzzy control strategy of autopilot system employed in this paper is effective and feasible, it has practicability.

Fuzzy-PID hybrid control: Automatic rule generation using genetic algorithms

This paper demonstrates that the genetic algorithms can be used effectively for generating fuzzy rules in fuzzy-PID hybrid control structures. While a number of fuzzy-PID hybrid controllers are considered in the context of tuning of the PID controllers, a general view is provided that they are the special cases of either the set-point modification or the gain modification. Simulation results reveal that genetic algorithms are effective tools to search for optimal or near optimal fuzzy rules. Along with this, they also suggest that there is a real need to develop genetic algorithms which are more tractable for fuzzy rule generation and to study theoretical questions related to the hybrid control structure.

Hierarchical Learning-Based Design of a Hybrid Fuzzy Pid Controller

ABSTRACTThe development of a systematic design procedure has been of interest since the introduction of fuzzy logic controllers (FLCs). As the dimensions of the system's input and output spaces become larger, the design problem becomes exponentially more difficult. Partitioning the input space into smaller, more manageable regions simplifies the design procedure. The problem then becomes one of integrating the regional controllers designed for each input space partition. This article demonstrates a systematic and hierarchical approach to the design of a hybrid fuzzy-PID controller through the application of a learning-based algorithm. The proposed method is applied to a two-link robotic arm. Favorable simulation results are obtained when comparing our approach to fixed PID Control and Variable Structure Control.

Smart Climbing Mirror Cleaning Robot Using Hybrid Fuzzy-PID Control based on Pneumatic System

This paper presents the combination of an intelligent fuzzy logic control and robotic technologies for developing an exterior climbing mirror cleaning robot based on pneumatic system in the advance fields of high building mirror cleaning robot technology. The typical pneumatic system is controlled by ON/OFF directional valve control that gives usually uncertain response both in the terms of position and velocity control and also low accuracy in the moving and holding force control because of its nonlinearity and uncertainty of pneumatic system. The fuzzy logic with proportional plus derivative plus integral control (fuzzy-PID) presented in this paper will improve the drawbacks and weak points of the ON/OFF valve control such that it becomes a continuous valve control which enhances the overall performance of the system in the same time. The stability of climbing robot that is moving along any slope angles of mirror glass surface depends on the holding force, suction cup parameters and pneumatic piston cylinder control that must be suitably designed and mainly realized. More safety factors for high air-pressure supply in the case of high building include winding force, gravity force and other environmental effects. The experimental results show that the fuzzy-PID control with pneumatic solenoid and directional valves control gives more satisfactory responses in the terms of settling time and steadystate error. The significant improvement of the position response and nonlinear or dynamic performance of pneumatic piston system is carried out both in Matlab simulation program and tests at laboratory room. The results are better than ON/OFF valve control and conventional PID control. Finally, the robot can climb very well on any slope angles of mirror surface that are less than 90 degree while the cleaning mechanism can work well as design concept. The future work will further improve the system performance of climbing robot for more safety, stability and reliability in the case of vertical slope situation that depends on the wet glass surface and more winding force effect.