Optimization Based on Convergence Velocity and Reliability for Hydraulic Servo System (original) (raw)
Related papers
2015
This paper deals with the tuning of classical ProportionalDerivativeIntegral (PID) controller using Genetic Algorithm (GA) technique for position control of electrohydraulic servo system. It also discusses the effects of parameter perturbation of a hydraulic system on the behavior of proposed controller. The hydraulic systems have many numbers of perturbations in parameters such as perturbation in supply pressure, Coulomb friction and viscous friction. The Hydraulic Servo System (HSS) plays an important role in industrial applications, especially inflight simulators and landing gear system of the aircraft. The main reason of using hydraulic systems in many applications is that, theycan provide a high torque and high force.The study has been investigated on simulation model and then verified experimentally in the laboratory.It was assumed that the system parameters have a perturbation of 20%.The simulation and experimental results show that the settling time and system overshoots are...
Electrohydraulic servosystem have been used in industry in a wide number of applications. Its dynamics are highly nonlinear and also have large extent of model uncertainties and external disturbances. In order to increase the reliability, controllability and utilizing the superior speed of response achievable from electrohydraulic systems, further research is required to develop a control software has the ability of overcoming the problems of system nonlinearities. In This paper, a Proportional Integral Derivative (PID) controller is designed and attached to electrohydraulic servo actuator system to control its angular position. The PID parameters are optimized by the Genetic Algorithm (GA). The controller is verified on the state space model of servovalve attached to a rotary actuator by SIMULINK program. The appropriate specifications of the GA for the rotary position control of an actuator system are presented. It is found that the optimal values of the feedback gains can be obtained within 10 generations, which corresponds to about 200 experiments. A new fitness function was implemented to optimize the feedback gains and its efficiency was verified for control such nonlinear servosystem.
International Conference on Control, Automation, Communication and Energy Conservation 2009 (INCACEC)
The polymerization of resin adhesives, which is highly nonlinear, is chosen as a control process in this paper. When phenol and formaldehyde are mixed, a sudden and unpredictable heat is produced due to an exothermic reaction, which could cause the deviation of process temperature and hence diminish the product quality. Therefore, temperature control is necessitated for exothermic batch reactor. The most common approach used in industries is proportional-integral-derivative (PID) controller, which is tuned by the operators based on their experience and knowledge on the process, and hence, may not be precise in control since the process dynamic is changing rapidly. Therefore, this paper aims to design an auto-tuning PID controller for nonlinear exothermic process control. This paper presents fuzzy PID (FPID) and Genetic Algorithm-optimized fuzzy PID (GAFPID) controllers. In FPID controller, PID gains are tuned by fuzzy system. In GAFPID controller, the inner loop is a FPID controller and the outer loop is GA controller, which is used to optimize the fuzzy membership functions. The performances of these controllers are investigated in MATLAB-SIMULINK. From the results, it can be concluded that GAFPID controller provides a better control in the nonlinear exothermic process due to its robustness against the variable time delay and inconsistent exothermic heat.
Precompensation for a hybrid fuzzy PID control of a proportional hydraulic system
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. Hybridization of these two controller structures comes to one mind immediately to exploit the beneficial sides of both categories. Nevertheless, a hybrid fuzzy PID controller does not perform well when applied to Proportional Hydraulic System (PHS) containing nonlinearities arising from unknown deadzones. To enhance the controller performance for the PHS with deadzones, in this paper, precompensation of a hybrid fuzzy PID controller is proposed. The proposed control scheme consists of a fuzzy logic-based precompensator followed by fuzzy controller and PID controller. We demonstrate the performance of scheme via experiments performed on a PHS position control. Our results show that precompensation...
Anbar Journal of Engineering Sciences, 2017
Particle Swarm Optimization Algorithm (PSOA) has emerged recently as an efficient and powerful technique for the optimization of real parameters. The current study presents control scheme for electrohydraulic actuator system which utilizes particle swarm optimization (PSO) for off-line tuning of the Fuzzy Proportional-Derivative (Fuzzy PD) controller. The gains and Membership Functions (MFs) tuned by PSOA which has been implemented depending on the performance indices: ITAE (Integral Time of Absolute Error), ISE (Integral Square of Error), and IAE (Integral Absolute of Error).
PID Studies on Position Tracking Control of an Electro-Hydraulic Actuator
International Journal of Control Science and Engineering, 2012
Despite the application of advanced control technique to imp rove the performance of electro-hydraulic position control, Proportional Integral Derivative (PID) control scheme seems able to produce satisfactory result. PID is preferable in industrial applications because it is simp le and robust. The main problem in its application is to tune the parameters to its optimu m values. This study will look into an optimization of PID parameters using Nelder-Mead (N-M) co mpare with self-tuning fuzzy approach for electro-hydraulic position control system. The electro-hydraulic system was represented by an Auto-regressive with Exogenous Input (ARX) model structure obtained through MATLAB System Identification Toolbo x. Second-order and third-order model of the system had been evaluated. Simu lation and real-t ime studies show that the output produced the best response in terms of transient speed and Root Mean Square Error (RM SE) performance criteria.
An Optimal Fuzzy PID Controller Design Based on Conventional PID Control and Nonlinear Factors
Applied Sciences
This paper proposes an optimal fuzzy proportional–integral–derivative (PID) controller design based on conventional PID control and nonlinear factors. With the equivalence between fuzzy logic controllers (FLCs) and conventional PID controllers, a conventional PID controller design can be rapidly transformed into an equivalent FLC by defining the operating ranges of the input/output of the controller. The proposed nonlinear factors can further tune the nonlinearity of the membership functions (MFs) distributed in the operating ranges. In this manner, a fuzzy PID controller can be developed with less parameters and optimized by using the genetic algorithm (GA). In addition, the aforementioned equivalent FLC can act as one individual in the initial population of GA, and significantly enhances the GA efficiency. Simulation results demonstrate the feasibility of this technique. This resulted in an optimal fuzzy PID controller design with only eight parameters with a concise controller st...
Adaptive control with fuzzy logic solution for servo hydraulic linear axis
Proceedings of the 9th WSEAS International …, 2008
The applicative research conducted by the authors was oriented in the direction of optimizing the static and dynamic performances of the servo-hydraulic linear axes and it aimed at the elaboration of a set of numerical simulation programs that could provide valuable information for the design of servo-hydraulic linear axes, according to the performances requested by up-to-date applications. These are simpler than the electronic ones, they are stronger and they have superior dynamic behavior. Their precision can be upgraded a lot by the use of adaptive electronic controller, whether analogical or digital. With means of compensation of the non-linearity that are the responsibility of the adaptive controllers, in this case the variable rigidity of the oil level inside the engine, can be performed using a position sensor with a positioning precision of ±1 μm/100mm. An experimental research has been conducted to correct and validate the mathematical model and the numerical simulation program of the adaptive controller.
Intelligent PI Fuzzy Control of An Electro-Hydraulic Manipulator
The development of a fuzzy-logic controller for a class of industrial hydraulic manipulator is described. The main element of the controller is a PItype fuzzy control technique which utilizes a simple set of membership functions and rules to meet the basic control requirements of such robots. Using the triangle shaped membership function, the position of the servocylinder was successfully controlled. When the system parameter is altered, the control algorithm is shown to be robust and more faster compared to the traditional PID controller. The robustness and tracking ability of the controller were demonstrated through simulations.
Journal of Mechatronics and Automation , 2020
Electrohydraulic servo systems have been used in industry in a wide number of applications. Its dynamics are complex and highly nonlinear, these features significantly add uncertainty to the controller design procedure. Therefore, it is a demanding task to obtain a precise mathematical model of controlled servo systems. The present paper presents the development of a detailed non-linear mathematical model of the ISA and a computer simulation program using MATLAB/SIMULINK package. The model is divided into three modules; pre-servo valve module, electro-hydraulic servo-valve module, and actuating hydraulic cylinder module. The transient response of the ISA system and the simulation results are obtained and discussed in this paper. The genetic algorithm Technique is used for non-linear electrohydraulic servo actuator to determine the optimal parameters of the PID controller to improve the transient response of the system. The designed parameters which were optimized are rise time, settling time and maximum overshoot. The Genetic Algorithm applied in PID controller improves the transient response, however the average percent overshoot reduction is about 83%, settling time reduction is about 50 %, and rise time reduction is about 51 %.