Study on Different Tuning Approach with Incorporation of Simulation Aspect for Z-N (Ziegler-Nichols) Rules

This paper is based on PID tuning approach using traditional Ziegler-Nichols tuning method with the help of simulation aspects. The most important reason behind this PID tuning approach is due to its simple control structure and satisfactory results. Nowadays there are various optimization techniques like Particle Swarm Optimization(PSO),Bacterial Forging Optimization(BFO),Genetic Algorithm(GA) etc used for distributed optimization and tuning of various systems. For PID tuning software tools are also used somewhere in which programming has been done previously. But here Z-N tuning rule is chosen as it is the mother of all the globally accepted modern Optimization Algorithms and easy to implement during MATLAB simulation. In this tuning approach Z-N‘s First Method is used which is efficient in tuning stable systems. The Algorithm and Flowchart study of the Z-N tuning rule is also incorporated. The flowchart defines the sequential statements and functions executed during simulation and also show the transfer of function calls. The algorithm makes the coding efficient and prevents runtime error. The coding is completely done using MATLAB and for its execution minimum requirement version is‘ MATLAB R2010a‘. The MATLAB coding consists of two parts i.e. Routh-Hurwitz coding to determine whether the system is stable or unstable and the code of Z-N tuning rule that performs the tuning of the systems provided by the user. The tuning code runs with the help of two functions, Ziegler( ) and WRITEPID( ). This tuning approach would be advantageous for the future industries as PID is used for industry related work and projects.