This paper addresses analysis and design issues in adaptive PID control for linear second order minimal phase processes using the backstepping algorithm. The first step consists in adding an integral action to the basic backstepping algorithm to obtain a zero static error. An integrator is therefore added to the plant model and is then slid back to the controller equation at the end of the desi...

Heating, Ventilating and Air Conditioning (HVAC) plant is a multivariable, nonlinear and non minimum phase system, which control of this plant, is very difficult. This paper presents a new approach to control of HVAC system. The proposed method is a hybrid of fuzzy logic and discrete PID controller. Simulation results show that this control strategy is very robust, flexible and alternative perf...

A simple design method for robust PID controllers is presented. It is based on a multi criteria H∞ optimal control formulation, which is shown to be easily solved by a few lines of MATLAB code. This optimal solution for PID controllers including low pass filtering, is complemented by a simple paper and pen solution that can be used to obtain nearly optimal solutions. The presented approach is s...

An algorithm for a robust, fuzzy-logic based, sliding mode control is proposed for a class of discrete systems. The algorithm is based on input/output measurements and is suitable for real-time control. It combines soft-computing methods with advanced sliding mode control. The controller design is carried out via Lyapunov’s direct method. The new controller is compared to the optimally tuned PI...

As the demand of robotic manipulator with an adequate performance under the effect parametric uncertainties is increased, the fixed PID controller requires an new approach to handle with such uncertainties. In this paper the formal formulation of a robust fixed PID control design is proposed as a constrained dynamic optimization problem. Hybrid algorithm is used to solve the problem. The empiri...

In this paper, a worm-like micro robot designed for inpipe application with intelligent active force control (AFC) capability is modelled and simulated. The motion of the micro robot is based on an impact drive mechanism (IDM) that is actuated using piezoelectric device. The trajectory tracking performance of the modelled micro robot is initially experimented via a conventional proportionalinte...

In this paper we propose a parallel structure of I-P-D (Integral minus Proportional minus Derivative) type fuzzy controller based on the conventional PID control theory, used to control the speed of DC motor. The conventional PID controller exhibit poor performance when applied to DC motor, it fails to perform satisfactory under parameter variation or load changes. The parallel I-P-D type fuzzy...

In this paper a new method for autotuning SISO and MIMO PID fuzzy logic controllers (FLC) is proposed. The fuzzy autotune procedure adjusts on-line the parameters of a conventional PID controller located in the forward loop of the process. Fuzzy rules are based on the representation of human expertise on how can be the behaviour of gain and phase margins of a control system to efficiently compe...

This paper presents a fast, interactive and easily modifiable software tool for robust PID design. The Matlab based program is supposed to give people with moderate knowledge on PID control a possibility to learn more and also be a future part of an autotuner. The PID design is made by minimizing the integrated absolute error value during a load disturbance on the process input. The optimizatio...

An approach is proposed to tune the parameters of a mixed H2/H∞ PID controller via particle swarm optimization. The main target is to find a suitable controller that minimizes the performance index of error signal under the robust stability and robust performance conditions. Different types of performance indexes are used to have optimal PID controller such as IAE, ISE, and ITAE. In this paper,...