Application of a multivariable adaptive control strategy to automotive air conditioning systems

2004 ◽  
Vol 18 (2) ◽  
pp. 199-221 ◽  
Author(s):  
Rajat Shah ◽  
Bryan P. Rasmussen ◽  
Andrew G. Alleyne
Keyword(s):  
Adaptive Control ◽  
Control Strategy ◽  
Air Conditioning ◽  
Automotive Air Conditioning ◽  
Adaptive Control Strategy ◽  
Air Conditioning Systems

Application of Multivariable Adaptive Control to Automotive Air Conditioning Systems

2003 ◽  
Author(s):  
Rajat Shah ◽  
Andrew G. Alleyne ◽  
Bryan P. Rasmussen
Keyword(s):  
Adaptive Control ◽  
Air Conditioning ◽  
State Space Model ◽  
Linear Quadratic Regulator ◽  
Estimation Algorithm ◽  
Linear Quadratic ◽  
Automotive Air Conditioning ◽  
Expansion Valve ◽  
Parameter Estimation Algorithm ◽  
Adaptive Control Strategy

This paper presents the application of a multivariable adaptive control strategy to a typical automotive air conditioning system. First, an experimentally validated physical model for the air conditioning cycle is introduced. This is followed by the application of a multi-input multioutput (MIMO) parameter estimation algorithm to recursively identify an equivalent discrete time state space model of the system. A Linear Quadratic Regulator (LQR) design is implemented on the estimated model with the objectives of reference tracking and disturbance rejection. Simulation studies are performed to explore the idea of modulating the electronic expansion valve opening and air flow rate over the evaporator for controlling the efficiency and capacity of a general automotive air conditioning unit. The results demonstrate the efficacy of the MIMO controller for these objectives.

Towards a new design with generic modeling and adaptive control of a transformable quadrotor

2021 ◽  
pp. 1-31
Author(s):  
S.H. Derrouaoui ◽  
Y. Bouzid ◽  
M. Guiatni
Keyword(s):  
Adaptive Control ◽  
Control Strategy ◽  
Experimental Tests ◽  
Generic Model ◽  
System Control ◽  
System A ◽  
Viable Solution ◽  
Generic Modeling ◽  
Adaptive Control Strategy ◽  
The Stability

Abstract Recently, transformable Unmanned Aerial Vehicles (UAVs) have become a subject of great interest in the field of flying systems, due to their maneuverability, agility and morphological capacities. They can be used for specific missions and in more congested spaces. Moreover, this novel class of UAVs is considered as a viable solution for providing flying robots with specific and versatile functionalities. In this paper, we propose (i) a new design of a transformable quadrotor with (ii) generic modeling and (iii) adaptive control strategy. The proposed UAV is able to change its flight configuration by rotating its four arms independently around a central body, thanks to its adaptive geometry. To simplify and lighten the prototype, a simple mechanism with a light mechanical structure is proposed. Since the Center of Gravity (CoG) of the UAV moves according to the desired morphology of the system, a variation of the inertia and the allocation matrix occurs instantly. These dynamics parameters play an important role in the system control and its stability, representing a key difference compared with the classic quadrotor. Thus, a new generic model is developed, taking into account all these variations together with aerodynamic effects. To validate this model and ensure the stability of the designed UAV, an adaptive backstepping control strategy based on the change in the flight configuration is applied. MATLAB simulations are provided to evaluate and illustrate the performance and efficiency of the proposed controller. Finally, some experimental tests are presented.

Adaptive control strategy-based reference model for spacecraft motion trajectory

2014 ◽  
Vol 29 (5) ◽  
pp. 639-652 ◽  
Author(s):  
Zarina Samigulina ◽  
Olga Shiryayeva ◽  
Galina Samigulina ◽  
Hassen Fourati
Keyword(s):  
Adaptive Control ◽  
Control Strategy ◽  
Reference Model ◽  
Motion Trajectory ◽  
Spacecraft Motion ◽  
Adaptive Control Strategy

Identification-Free Adaptive Separate Layer Water Injection Control Based on Expert Amendment

2010 ◽  
Vol 44-47 ◽  
pp. 1470-1475
Author(s):  
Feng Shan Wang ◽  
De Li Jia ◽  
Shu Jin Zhang ◽  
Chong Jiang Liu ◽  
De Kui Xu
Keyword(s):  
Adaptive Control ◽  
Control Strategy ◽  
Water Injection ◽  
Strong Nonlinearity ◽  
Separate Layer ◽  
Injection Control ◽  
System Output ◽  
Adaptive Control Strategy ◽  
Injection Effect ◽  
Injection Technology

An identification-free adaptive control strategy based on expert amendment is proposed in this paper to solve the problem that it is difficult to establish mathematical model of water injection regulating process due to large time delay, strong nonlinearity and time variation in the flow control of separate layer water injection technology. In this control strategy, according to the past and current process information of water injection, the system output and trend can be estimated based on expert rules to amend the output of the identification-free adaptive control. The simulation result shows that this control strategy has perfect control performance and strong adaptability and it provides a feasible means for improving water injection effect.

Sign in / Sign up

Export Citation Format

Share Document