In this study, peak observer based tuning method that adjusts the input scaling factor corresponding to the derivative coefficient and the output scaling factor corresponding to the integral coefficient of the PID type fuzzy logic controller is implemented on PLC. The results of the peak observer based self-tuning fuzzy PID-type controller is compared with the fuzzy PID-type controller without ...

In today‟s world, fuzzy logic and particle swarm optimization are used to answer various engineering problems. In this paper, the proportional integral derivative (PID) controller tuning by fuzzy rule method (FRMs) and a particle swarm optimization (PSO) algorithm are proposed to improve controller by adjusting transfer function parameters. The proposed fuzzy rule function and PSO algorithm sea...

In this dissertation Euler-Lagrange’s method is used to model the dynamics of two linked rigid manipulator. The multi input and the multi output model is found to be nonlinear. To observe and control the output response of manipulator, SIMULINK model is designed using S-Function block without any controller and the response found is unbounded. In order to control the position of the manipulator...

A new control strategy for a single tank liquid level control system is designed. Generally PID controllers are used to design the level of the liquid in the tank. But PID is a feedback type controller, so it doesn’t produce satisfactory responses. As the complexity of problems in the process increases, Fuzzy Logic Controller is used. It produces satisfactory response, but the drawback is that ...

Controller designing for various day to day practical processes has been a challenging task for designers. Several issues such as stability, steady state error, effect of parameter variations and speed etc. must be considered for designing a controller. In this communication, an arbitrarily underdamped second order plant is implemented which has highly oscillatory response. Then a PID controlle...

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 main objectives of vehicle motion control on an automated highway system are stable and safe automatic longitudinal and/or lateral path following in a platoon of vehicles. Various controllers can be used to satisfy the same objectives, but they may require different variables to be sensed or different conditions to be met. Supervision can select a controller and switch to a different contro...

Hydraulic Automatic Position Control (APC) is a very important part of rolling mill for magnesium plate rolling. The control effect of automatic position control system influences the quality of the rolled product directly. APC system is an essentially nonlinear, time delay, time-varying, large inertia, multivariable and coupling complex system, which increase the designing difficulty of contro...

The rocket is the only vehicle that launches the spacecraft in the space. The orientation of the spacecraft in precise position is so crucial. But, the motion of the rocket can be influenced by internal and external disturbances. Furthermore, 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 ...

This paper presents a new neuro-fuzzy controller for robot manipulators. First, an inductive learning technique is applied to generate the required modelling rules from input/output measurements recorded in the off-line structure learning phase. Second, a fully differentiable fuzzy neural network is developed to construct the inverse dynamics part of the controller for the on-line parameter lea...